Bring Openapi
to CrewAI
Create your Vinkius account to connect Stoplight to CrewAI and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Stoplight MCP Server?
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
- Install the Stoplight MCP module securely authenticating it to your organizational AI interface.
- In the MCP configurations, provide your
STOPLIGHT_WORKSPACEslug and a validSTOPLIGHT_TOKENgenerated directly from your Stoplight workspace settings. - 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.
Built-in capabilities (7)
Retrieves 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
Why CrewAI?
When paired with CrewAI, Stoplight becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Stoplight tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Stoplight in CrewAI
Why run Stoplight with Vinkius?
The Stoplight connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Stoplight using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Stoplight and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Stoplight to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Stoplight for CrewAI
Every request between CrewAI and Stoplight is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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