Integrations · Hub
The tools your team already uses.
The workflow tools where work gets done, the experimentation platforms where work gets validated, the paid media platforms where spend gets steered, the data and analytics platforms where the questions get answered, the content and SEO platforms where the published surface gets produced, and the competitive-intelligence platforms that back the audit suite.

The integration-orchestrator skill is the layer above. It produces a phased delivery plan, a 5-status taxonomy (Todo / In Progress / Waiting / Blocked / Done), and platform-specific commands per phase. The integration pages below show how the orchestrator's output lands inside each platform's real primitives.
The orchestration shape
Phases, gates, lock points.
The orchestrator skill outputs a five-phase delivery plan. Each phase ends in a gate; each gate locks the upstream decisions before downstream work begins. The shape is platform-agnostic; the integration pages below show how each platform represents phases, gates, and lock points in its own primitives.
The shape
Framework, integration, workflow.
Workflow & Project Management
The platforms where the brief lives during build.
Each microsite is platform-specific: Jira reads bureaucratic, Linear reads modern-startup, Notion reads docs-first, Figma reads designer, GitHub reads engineering. The agile page is platform-agnostic and covers how the brief lives across the sprint cycle no matter which tracker the team uses.
Scrum and agile teams
Creative direction in agile
How a brief flows through a sprint
Discovery sprint to brief to epic to stories to definition of done. Sprint review grades execution against direction, not just story-completion.
Read the pageJira-using teams
Jira
Briefs as Epics, axes as custom fields
Creative-direction briefs mapped to Epics. Axis positions as custom fields. JQL filters that pull cross-project work answering one brief.
Official MCPPlan includedAtlassian remote MCP· CLI: acliRead the pageLinear-using teams
Linear
Briefs as Projects, axes as labels
Briefs as Projects with axis-prefixed labels. Cycle planning that names which briefs are being served. Filter views per axis position.
Official MCPPlan includedLinear MCP, full CRUD· CLI: MCP onlyRead the pageNotion-centric teams
Notion
Briefs as a queryable database
Briefs as database rows with axis Select properties. Relations from downstream artifacts back to the brief. Rollups for brief-coverage counts.
Official MCPPlan includedNotion MCP, full coverage· CLI: MCP onlyRead the pageDesigners
Figma
Briefs as library architecture
Briefs as team-library descriptions. Axis-prefixed token names. Frame organization that makes axis position visible. Design review checklists that grade against brief.
MCP read-onlyPlan includedDev Mode MCP, read-only· CLI: Manual setup + REST APIRead the pageEngineering teams
GitHub
Briefs as design-system source of truth
Briefs as DESIGN_DIRECTION.md. Axis-prefixed Storybook stories and Tailwind tokens. PR templates that ask whether the change answers the brief.
Official MCPFreeGitHub MCP, read-heavy· CLI: gh (primary)Read the page
Experimentation & Feature Flags
The platforms where shipped work gets measured.
Ten platforms with first-party MCP servers covering experimentation, feature flags, and product analytics. Plus Eppo, included for completeness despite lacking an MCP today. Each microsite documents the MCP server URL, auth method, hosting model, scoping notes where relevant, and example prompts the agent will run.
These pages pair with the forthcoming experiment-design, feature-flagging, experimentation-analytics, and experimentation-platform-orchestrator skills. Microsite content stands on its own; skill cross-links land when the skill pages ship.
Modern product teams running experiments at speed
Statsig
Experiments and gates as MCP tools
Modern experimentation platform with built-in CUPED, holdouts, and warehouse-native architecture. The MCP exposes full CRUD across experiments, gates, dynamic configs, layers, and segments. Used by OpenAI, Notion, Brex.
Official MCPPlan includedStatsig hosted MCP, full read and write· CLI: MCP + REST APIRead the pageProduct-led growth teams
PostHog
Open-source product analytics with experiments
Combines product analytics, experiments, feature flags, surveys, session replays, error tracking, and LLM analytics in one platform. The MCP exposes 200+ tools; scope with the ?features= query parameter to keep context windows tight.
Official MCPPlan includedPostHog MCP at mcp.posthog.com/mcp, OAuth or API key· CLI: MCP + REST APIRead the pageData-native experimentation teams
GrowthBook
Open-source warehouse-native experimentation
Warehouse-native experimentation that runs SQL on your existing data stack. Fully open source, self-host or cloud. The first open-source production MCP for experimentation per their claim. Customers include Dropbox, Khan Academy, Mistral.
Official MCPPlan includedGrowthBook OSS MCP, runs locally, API key auth· CLI: MCP + REST APIRead the pageEnterprise personalization and experimentation
Optimizely
Web Experimentation and Feature Experimentation in one MCP
Long-time enterprise leader with deep targeting and multivariate testing. Optimizely's hosted Remote MCP works in browser-based ChatGPT and Claude.ai with OAuth. Inherited UI permissions; available to all paying customers.
Official MCPPlan includedOptimizely Remote MCP, OAuth, hosted· CLI: MCP onlyRead the pageTeams using VWO Feature Experimentation
VWO FME
Feature flag CRUD from your IDE
VWO Feature Management & Experimentation. Open-source MCP runs locally via npx. Supports flag rules (rollout, A/B, multivariate), stale flag detection, and SDK code generation. Note: VWO's visual A/B testing product is not covered by this MCP.
Official MCPPlan includedVWO FME OSS MCP. Visual A/B testing not in scope.· CLI: MCP + REST APIRead the pageTeams using Harness FME or Split.io
Split.io (Harness FME)
Feature flags via the Harness platform MCP
Now part of Harness. The Harness MCP exposes 137 resource types across the entire DevOps platform. For experimentation focus, scope with HARNESS_TOOLSETS=feature-flags to expose just FME workspaces, environments, flags, segments. Apache 2.0 OSS.
Official MCPPlan includedHarness MCP, scope to feature-flags toolset· CLI: MCP + REST APIRead the pageAI-driven personalization teams
Kameleoon
Winning experiment to production code
Pulls raw variation code (JS or CSS) from winning experiments and helps convert to production-ready React components. OAuth via mcp-remote proxy. Seven specialized tools focused on the implementation workflow rather than broad CRUD.
Official MCPPlan includedKameleoon hosted MCP at mcp.kameleoon.com/mcp, OAuth· CLI: MCP onlyRead the pageEnterprise feature flag and rollout teams
LaunchDarkly
Three MCP servers across feature mgmt, AI Configs, observability
The largest pure-play feature flag platform. Hosted MCP via OAuth or local via API key. Federal and enterprise tiers supported. AI Configs MCP for managing LLM rollout settings. Used by Netflix, Atlassian, Square, IBM.
Official MCPPlan includedLaunchDarkly hosted MCP, OAuth, three product servers· CLI: MCP + REST APIRead the pageProduct analytics and experimentation teams
Amplitude
Behavioral analytics and experiments via natural language
Hosted MCP at mcp.amplitude.com/mcp. Covers analytics, experiments, feature flags, dashboards, charts, cohorts. Available to all customers including the free tier. Native ChatGPT connector. Use ?discovery=progressive to keep context tight.
Official MCPPlan includedAmplitude hosted MCP, OAuth, beta· CLI: MCP onlyRead the pageOpen-source feature flag teams
Flagsmith
Open-source feature flags with change request workflows
Open-source feature flag platform with strong governance via change request workflows. Hosted MCP via Gram. SOC 2 Type 2, HIPAA, FedRAMP support for regulated environments. Self-host or cloud.
Official MCPPlan includedFlagsmith MCP via Gram, Organisation API key· CLI: MCP + REST APIRead the pageData-warehouse-native experimentation teams
Eppo
Warehouse-native experimentation, REST API only
Warehouse-native experimentation platform used by Twitch, DraftKings, Perplexity. Strong product but no first-party MCP server as of May 2026. Programmatic access through REST API only for now. Worth tracking; demand is growing for an Eppo MCP.
REST API onlyNo MCP available; REST API only· CLI: REST APIRead the page
Paid Media Platforms
The platforms where paid spend gets steered.
Five entries covering paid media: Google Ads (official MCP), Meta and TikTok via Pipeboard's hosted servers, LinkedIn via MCPBundles, and Synter as the aggregator covering the long tail (Microsoft, Reddit, Pinterest, Snap, X, and seven more). Each microsite documents the MCP server URL, auth method, hosting model, and example prompts the agent will run.
These pages pair with the forthcoming paid-media-strategy, ads-creative-development, and ads-performance-analytics skills. Microsite content stands on its own; skill cross-link hyperlinks land when the skill pages ship.
Performance marketers and agencies
Google Ads
Official MCP for Google Ads campaigns
Google's first-party MCP server (released October 2025). Read-only initially: list_accessible_customers and search via GAQL (Google Ads Query Language). Auth via OAuth and Developer Token. Local pipx or Google Cloud Run hosting. Community alternatives offer full CRUD.
Official MCPPlatform feesGoogle official MCP at github.com/googleads/google-ads-mcp· CLI: MCP + REST APIRead the pageBrands and agencies running Facebook and Instagram campaigns
Meta Ads
Pipeboard-hosted MCP for Meta Marketing API
No first-party MCP. Pipeboard hosted MCP at meta-ads.mcp.pipeboard.co covers Facebook and Instagram campaigns with 25+ tools across campaign lifecycle, creatives, audiences, and analytics. OAuth. Pipeboard is a badged Meta Business Partner. Multiple OSS local options also exist.
Community MCPPlatform feesPipeboard hosted MCP, OAuth, Meta Business Partner· CLI: MCP + Marketing APIRead the pageB2B marketers running LinkedIn campaigns
LinkedIn Ads
Official LinkedIn Marketing API via MCPBundles
No first-party MCP. MCPBundles offers the only LinkedIn MCP built on the official Marketing API and Community Management API (no scraping, no ToS violations). Synter MCP covers LinkedIn alongside 13 other ad platforms. Important friction: LinkedIn requires manual app review (2 to 6 weeks) before any Marketing API access works.
Community MCPPlatform feesMCPBundles or Synter; LinkedIn app review required· CLI: MCP + REST APIRead the pageBrands testing on TikTok and Spark Ads
TikTok Ads
Pipeboard-hosted MCP for TikTok Business API
No first-party MCP. Pipeboard hosted MCP at tiktok-ads.mcp.pipeboard.co with 20+ tools covering campaign lifecycle, creative uploads (video and image), and performance analytics. OAuth. Also available via AdsMCP and ysntony local OSS implementations.
Community MCPPlatform feesPipeboard hosted MCP, OAuth· CLI: MCP + REST APIRead the pageAgencies and growth teams managing multi-platform paid media
Synter
One MCP, 14 ad platforms
Synter is the AI Agent Operator for Ads. A single hosted MCP server connects to Google, Meta, TikTok, LinkedIn, Reddit, Pinterest, Snapchat, Microsoft, X, Amazon DSP, Taboola, Spotify, Trade Desk, and StackAdapt. 100+ tools, direct API connections (not middleware), full execution (not just reporting). OAuth.
Community MCPPlatform feesSynter aggregator, 14 platforms in one connection· CLI: MCP onlyRead the page
Data & Analytics
The platforms where the questions get answered.
Five platforms covering the modern data stack: BigQuery and Snowflake for warehouse, dbt for transformation and the Semantic Layer, Mixpanel for product analytics, Hex for collaborative exploratory work. All five ship official first-party MCPs (released 2025).
These pages pair with the forthcoming product-analytics-setup, data-warehouse-experimentation, and feature-launch-playbook skills. Microsite content stands on its own; skill cross-link hyperlinks land when the skill pages ship.
Data teams, PMs, and analysts running warehouse-native experimentation and analytics
BigQuery
Google's official managed MCP for BigQuery
Google's first-party managed remote MCP server (December 2025). Connects AI agents directly to BigQuery datasets, schemas, and queries. OAuth 2.0 + IAM for authentication and authorization, Streamable HTTP transport. No separate infrastructure to deploy. Tools cover schema inspection, SQL query execution, dataset discovery, and forecasting.
Official MCPCompute-meteredGoogle managed remote MCP at bigquery.googleapis.com/mcp· CLI: MCP + bq CLI + REST APIRead the pageData teams running enterprise warehousing and Cortex AI workloads
Snowflake
Snowflake-managed MCP with Cortex AI tools
Snowflake's first-party managed MCP server (October 2025 public preview). Native to Snowflake, no external infrastructure required. Tools cover Cortex Analyst (text-to-SQL on semantic views), Cortex Search (RAG on unstructured data), and Cortex Agents (multi-tool orchestration). OAuth + RBAC respects existing Snowflake governance. Plus Snowflake-Labs/mcp open source for self-hosted deployments.
Official MCPCompute-meteredSnowflake-managed MCP + Snowflake-Labs OSS, OAuth + RBAC· CLI: MCP + SnowSQL + REST APIRead the pageProduct teams and analysts asking questions of product event data
Mixpanel
Mixpanel's official hosted MCP for product analytics
Mixpanel's first-party hosted MCP server (public beta launched late 2025). Query events, funnels, retention, cohorts, session replays via natural language without dashboard navigation. OAuth, Streamable HTTP. Pairs cleanly with Claude Code agents that have access to your codebase, so the agent can correlate event names with where they fire in source. US data center only as of beta; HIPAA not covered.
Official MCPPlan includedMixpanel hosted MCP at mcp.mixpanel.com/mcp, OAuth, US-only beta· CLI: MCP + REST APIRead the pageAnalytics engineers and data teams transforming warehouse data
dbt
Official dbt MCP for project metadata, lineage, and Semantic Layer
dbt-labs/dbt-mcp is the official MCP server for dbt. Two flavors: local (uvx-installed, full CLI access for dbt Core, Fusion, and Platform projects) and remote (HTTP, hosted on dbt platform, ideal for read-only consumption). Tools cover dbt run/build/test commands, manifest discovery, model and column lineage, Semantic Layer queries, and SQL execution. Apache-2.0.
Official MCPPlan includeddbt-labs/dbt-mcp, local + remote variants, Apache-2.0· CLI: MCP + dbt CLIRead the pageData teams and PMs running exploratory analytics in collaborative notebooks
Hex
Hex's official MCP for projects, threads, and data discovery
Hex's first-party MCP server (beta launched October 2025). Search Hex projects, create and continue analytical Threads, run notebooks via natural language. OAuth, Streamable HTTP at app.hex.tech/mcp. Hex Agent works across the workspace so the MCP can surface relevant existing analyses, not just create new ones. Pairs well with dbt MCP (lineage discovery) and BigQuery or Snowflake MCP (warehouse access).
Official MCPPlan includedHex hosted MCP at app.hex.tech/mcp, OAuth· CLI: MCP + REST APIRead the page
Content & SEO
The platforms where the published surface gets produced.
Five platforms covering the modern content stack: Webflow and Contentful for structured CMS publishing, Frase for the read-write SEO + GEO content lifecycle, Profound for AI search visibility measurement, and AirOps as a managed workflow alternative. All five ship official first-party MCPs released in 2025.
These pages pair with the forthcoming content-strategy-for-ai-search and content-production skills. Notion already lives in the workflow category; its existing microsite covers creative-direction briefs specifically and is unchanged. Microsite content stands on its own; skill cross-link hyperlinks land when the skill pages ship.
Content teams and developers building content-focused sites with design ownership
Webflow
Webflow's official MCP for Data API + Designer API
Webflow's first-party MCP server (remote, OAuth) exposes 26 tools spanning the Data API (CMS collections, items, pages, SEO) and Designer API (canvas elements, styles, components). Build responsive sections, manage CMS schemas, update SEO metadata, and publish content via natural language. Designer API tools require a companion Bridge App in the Webflow Designer panel.
Official MCPPlan includedWebflow remote MCP at mcp.webflow.com/sse, OAuth, 26 tools· CLI: MCP + REST APIRead the pageContent teams running headless CMS for multi-channel and enterprise content
Contentful
Contentful's official MCP, local + hosted beta
Contentful's first-party MCP server in two flavors: local open-source (@contentful/mcp-server, MIT licensed, Management API token auth) and hosted beta at mcp.contentful.com/mcp (OAuth, zero-infrastructure setup). Tools cover entries and assets CRUD, content type management, locale handling, AI Actions, and publishing workflows. Strong fit for structured content models with validations and environments.
Official MCPPlan includedContentful local MCP (MIT) + hosted beta at mcp.contentful.com/mcp· CLI: MCP + Management APIRead the pageSEO and content teams running research, writing, optimization, and AI search monitoring
Frase
Frase's read-write MCP for the full SEO + GEO content lifecycle
Frase's first-party MCP server is one of the few read-write MCPs in the SEO content optimization category. Covers all six pipeline stages: research (SERP analysis, keyword discovery), brief generation, AI writing calibrated to brand voice, dual SEO + GEO scoring, publishing (Frase CMS, WordPress, Webflow, Sanity), and monitoring (AI visibility tracking across 8 platforms; Content Watchdog for autonomous ranking recovery). MCP access included on all plans starting at $49/mo.
Official MCPPlan includedFrase official MCP, API key auth, read-write across full content lifecycle· CLI: MCP + REST APIRead the pageMarketing teams and SEO analysts measuring brand visibility across AI search engines
Profound
Profound's official MCP for AI search visibility and Agent Analytics
Profound's first-party MCP server (October 2025) brings AI search visibility data into Claude Desktop, Cursor, Cline, and other MCP clients. Query bot logs, pull citation reports, analyze visibility trends across ChatGPT, Perplexity, Gemini, Claude, and other answer engines. Agent Analytics tracks AI crawler behavior at server-log level. SOC 2 Type II compliant; positioned for enterprise procurement.
Official MCPPlan includedProfound MCP, API key auth, October 2025 launch· CLI: MCP + TypeScript/Python SDK + REST APIRead the pageContent teams that prefer managed workflow builders to build-it-yourself pipelines
AirOps
AirOps's official MCP and Claude Connector for AEO data and Brand Kits
AirOps's first-party MCP server at app.airops.com/mcp plus a Claude Connector (native in Claude's Connectors Directory). OAuth-based. Tools cover AEO (AI Engine Optimization) data, brand visibility queries, competitor analysis, content opportunity discovery, Brand Kit management, and Knowledge Base search. AirOps is itself an MCP-aware platform: it connects to many other MCP-enabled providers (Webflow, WordPress, Contentful, Notion, BigQuery, Snowflake, Semrush, Ahrefs, and more) within its own workflow builder.
Official MCPPlan includedAirOps MCP at app.airops.com/mcp (OAuth) + Claude Connector· CLI: MCP + Claude Connector + REST APIRead the page
SEO & Competitive Intelligence
The platforms where the competitive landscape gets read.
Three platforms covering overlapping but distinct data shapes. Ahrefs is the foundational backend for the catalog's SEO audit suite (backlinks, keywords, content explorer, site audit). Semrush is the keyword and SEO-PR sibling with stronger US data and Topic Research. Similarweb is the standard for competitive traffic estimation, audience demographics, and channel-mix breakdown.
Use them in combination. Each platform gives a different cut of the same competitive landscape; the three often disagree on individual data points, and the disagreement is itself a useful signal.
SEO teams running technical and content audits, competitive analysis, link-building
Ahrefs
Ahrefs MCP: backlinks, keywords, content explorer, site audit in one connection
The foundational MCP for the catalog's SEO audit suite. Backlink profiles, keyword data, content explorer, site crawls, rank tracking, and content gap analysis. The 6 SEO audit suite skills (orchestration, backlink-audit, keyword-gap-audit, content-gap-audit, traffic-diagnosis, site-health-audit, rank-tracking) all assume Ahrefs as the data backend. Pairs with Semrush for cross-validation and Similarweb for traffic estimation.
Official MCPPer-call billingAhrefs official MCP, API key auth (verify URL at authoring time)· CLI: MCP + REST APIRead the pageSEO and content marketing teams, agencies running multi-client SEO programs
Semrush
Semrush MCP: SEO + content + competitive analysis in one connection
Comprehensive SEO platform with stronger US keyword data than Ahrefs and SEO-PR features (Topic Research, brand monitoring) Ahrefs does not cover. The MCP exposes keyword research, position tracking, backlink analytics, traffic analytics, and content optimization tools. Pairs with the catalog's seo-keyword, seo-competitor, seo-content-gap-audit, and seo-onpage skills. Use alongside Ahrefs for cross-validation, especially on US-market work.
Official MCPPer-call billingSemrush official MCP (verify URL at authoring time), API key auth· CLI: MCP + REST APIRead the pageMarketers, growth teams, brand strategists, competitive analysts needing traffic estimation and audience intelligence
Similarweb
Similarweb MCP: competitive traffic, audience, channel mix
The standard for competitive traffic estimation. Site-level traffic estimates, audience demographics, channel mix breakdown (organic, paid, direct, referral, social, email), industry benchmarks, audience overlap analysis. Where Ahrefs answers 'how do they rank' and Semrush answers 'what keywords drive what,' Similarweb answers 'how much traffic, from where, from whom.' Pairs with seo-competitor (competitive landscape), seo-traffic-diagnosis (external factor layer), brand-discovery (competitive scan), analytics-strategy (industry benchmarks). Official MCP at developers.similarweb.com/docs/similarweb-mcp.
Official MCPPer-call billingSimilarweb official MCP at developers.similarweb.com/docs/similarweb-mcp· CLI: MCP + REST APIRead the page
Common stack combinations
Most teams run two or three of these together.
Pure single-platform shops are rare. The orchestrator skill outputs commands for the combination, not the single platform; the most common shapes are below.
Design-led brand work
Notion + Figma + GitHub
Brief lives as a Notion database row. Direction tokens and identity components live in a Figma library locked at each gate. Production code ships from a GitHub repo with brief-aware PR templates. All three MCPs run; gh CLI handles GitHub state.
Engineering-heavy
Jira + Figma + GitHub
Brief lives as a Jira Epic. Designs in Figma. Code in GitHub. Atlassian remote MCP plus Figma Dev Mode MCP plus GitHub MCP cover read paths. acli for Confluence content; gh for GitHub state.
Modern startup
Linear + Notion + GitHub
Brief lives as a Linear Project with a Notion long-form companion page; tickets live as Linear Issues; engineering happens on GitHub. Three MCPs, gh CLI for GitHub. The common combination for agent-led teams.
Docs-first agency
Notion + Figma
Briefs in Notion; visual library in Figma. No engineering surface. Notion MCP runs full-coverage; Figma Dev Mode MCP for read-side checks against the locked direction tokens. Common for brand consultancies and pre-engineering work.
Enterprise scrum
Jira + Confluence + GitHub
Brief lives in Confluence; Epics and Stories in Jira; code in GitHub. Atlassian remote MCP covers both Jira and Confluence; acli for content-heavy Confluence edits; gh for GitHub state.
Solo or two-person
Notion + GitHub
Brief in a Notion database; everything else in a GitHub repo. Notion MCP handles brief CRUD; gh handles repo and PR work. The minimum-viable shape the orchestrator skill still produces a useful plan for.
What every integration page does
The brief is the boundary object.
A creative-direction brief is the artifact that has to survive the team's default toolchain. The risk in every integration is the same: the brief gets produced, lives somewhere unreadable to the rest of the work, and stops being consulted. Six weeks later, the team is shipping competent and incoherent output, and no one can point at where the drift started.
Every integration page solves the same shape of problem, with platform-specific mechanics. The brief becomes a primitive the platform indexes (Epic, Project, database row, library description, repository document). The four axes become structured properties on that primitive (custom fields, labels, Select properties, token name prefixes, story categories). Downstream artifacts get queryable backlinks to the brief. The team's existing review ceremonies (sprint review, cycle review, design review, code review) gain one new question: does this answer the brief?
The mapping is what makes the brief load-bearing instead of decorative. Pick the integration page closest to the team's primary platform and adapt the patterns. The concepts transfer; the syntax differs.
In progress
Coverage we are still working on.
Slack, ClickUp, Asana, and Confluence are scoped for follow-up. The patterns transfer cleanly because the framework is the boundary object, not the tooling, but the platform-specific shape (Slack canvas vs ClickUp custom fields vs Asana sections) deserves its own page. If a platform is missing here that the team relies on, the existing pages translate well enough to ship a first draft of the integration internally.
Per-skill platform pages (a separate page for the brand-voice skill in Jira, the brand-voice skill in Linear, the brand-voice skill in Notion, and so on) are deliberately out of scope for this surface. The matrix gets large fast, and most of the value lives at the framework-to-platform level documented here.
Continue reading.
- Methodology
The creative direction framework
Four axes for the brief these integrations carry through the team's workflow.
Read the methodology - Catalog
The skills catalog
Open-source skills, including the ones that produce the artifacts these integrations carry.
Browse the catalog - Showcase
Brand examples
42 fictional brands rendered from briefs, showing what coherent output looks like at axis level.
Open the showcase - GitHub
rampstackco/claude-skills
The open-source skill catalog the integration pages reference. MIT licensed.
Open on GitHub
Frequently asked questions.
- What is an integration page in RampStack?
- A pattern document that explains how RampStack skill output (a creative-direction brief, a brand-voice doc, a brand-identity system) lands inside the primitives a specific platform already exposes (Jira Epics, Linear Projects, Notion databases, Figma libraries, GitHub repos). The page maps RampStack output to platform primitives, ships templates the reader can copy, and names the failure modes that show up when teams try the integration without the patterns.
- Which platforms have integration pages right now?
- Thirty-five, split across six categories. Workflow & project management: agile sprints (platform-agnostic), Jira, Linear, Notion, Figma, GitHub. Experimentation & feature flags: Statsig, PostHog, GrowthBook, Optimizely, VWO FME, Split.io (Harness FME), Kameleoon, LaunchDarkly, Amplitude, Flagsmith, plus Eppo. Paid media platforms: Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, and Synter (aggregator covering 14 platforms in one connection). Data & analytics: BigQuery (Google managed MCP), Snowflake (Snowflake-managed MCP with Cortex), Mixpanel (official hosted MCP), dbt (official dbt-labs/dbt-mcp), and Hex (official MCP). Content & SEO: Webflow (Data API + Designer API MCP), Contentful (local + hosted beta MCP), Frase (read-write MCP across the SEO + GEO content lifecycle), Profound (AI search visibility and Agent Analytics), and AirOps (managed workflow alternative with AEO data and Brand Kits). SEO & competitive intelligence: Ahrefs (foundational backend for the SEO audit suite), Semrush (sibling with stronger US keyword data and SEO-PR features), Similarweb (the standard for competitive traffic estimation, audience demographics, and channel mix).
- Do I need RampStack to use these patterns?
- No. The skills are open source under MIT and the patterns work whether the brief was generated by Claude using the creative-direction skill or written by a human using the same framework. The integration pages assume the brief exists; they do not assume how it got produced. Teams that already write briefs in some other format can translate to the four-axis format and gain queryable structure without changing tools.
- How do these integration pages compose with the framework pages?
- The framework pages explain the four axes and the brief format. The skill pages explain how to produce the brief and the downstream artifacts. The integration pages explain where those artifacts land inside the team's existing tools. Read framework first if the four-axis vocabulary is new. Read skills next if the question is what gets produced. Read integrations when the question is how to make the existing toolchain stop dropping the brief.