Stoplight MCP Server
Connect your AI to Stoplight. Design, document, and manage your API lifecycle, exploring workspaces and schemas effortlessly.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the Stoplight MCP Server?
The Stoplight MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Stoplight via 7 tools. Connect your AI to Stoplight. Design, document, and manage your API lifecycle, exploring workspaces and schemas effortlessly. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (7)
Tools for your AI Agents to operate Stoplight
Ask your AI agent "List my Stoplight projects and show recent workspace activity." and get the answer without opening a single dashboard. With 7 tools connected to real Stoplight data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client


















Stoplight MCP Server capabilities
7 toolsRetrieves details for a specific documentation node
Retrieves details for a specific Stoplight project
Lists all documentation nodes (files, endpoints, models) within a project
Lists all projects in a specific Stoplight workspace
Lists recent activity logs for a Stoplight workspace
Lists all members of a Stoplight workspace
Lists all accessible Stoplight workspaces
What the Stoplight MCP Server unlocks
Integrate the industry-leading API design and documentation capabilities of Stoplight into your conversational AI workflows. Empower your engineering teams to explore workspaces, evaluate OpenAPI schemas, and audit API projects natively from their conversational assistant. Securely map your AI to your Stoplight workspace, enabling the orchestration of complex documentation tasks, project navigation, and architectural reviews naturally without switching contexts or opening complex dashboards.
What you can do
- Workspace Exploration — Rapidly inspect top-level organizational containers invoking
list_workspaces, and track operational changes programmatically leveraginglist_workspace_activity. - Project Management — Audit your API documentation repositories cataloging initiatives securely using
list_projects, and retrieve full visibility metadata invokingget_project_details. - Schema & Documentation Discovery — Dive deeply into specific documentation structures retrieving files, endpoints, and models leveraging
list_project_nodes, and parse their raw text safely utilizingget_node_details. - Team & Governance — Map project ownership accurately and enforce governance metrics iteratively assigning roles retrieving authorized contributors naturally via
list_workspace_members.
How it works
1. Install the Stoplight MCP module securely authenticating it to your organizational AI interface.
2. In the MCP configurations, provide your STOPLIGHT_WORKSPACE slug and a valid STOPLIGHT_TOKEN generated directly from your Stoplight workspace settings.
3. Prompt the AI: "List the latest active endpoints from our 'core-billing-api' project and retrieve the detailed schema documentation for the processing node."
Who is this for?
- API Architects — Accelerate API design reviews by instantly accessing endpoints and OpenAPI models naturally via your terminal without leaving your coding environment.
- Technical Writers — Discover and organize large scale API documentation landscapes rapidly summarizing updates directly from recent workspace activity logs.
- Backend Engineers — Resolve integration dependencies efficiently by querying endpoint models across independent Stoplight projects precisely and securely.
Frequently asked questions about the Stoplight MCP Server
Is the integration read-only?
Yes. All tools only read from your Stoplight workspace — projects, nodes, schemas, and activity logs. No modifications or deletions are possible through this integration.
What is the workspace slug?
It's the subdomain of your Stoplight URL. For example, if your workspace is at https://acme.stoplight.io, the slug is acme. You can find it in the address bar when logged in.
What data can the agent access?
Projects, workspace members, activity logs, and all project nodes (endpoints, models, articles). Each node's full content — including OpenAPI schemas — can be retrieved via get_node_details.
More in this category
You might also like
Connect Stoplight with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Stoplight MCP Server
Production-grade Stoplight MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.





