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`.

Stoplight MCP Server for AutoGen 7 tools — connect in under 2 minutes

Name: Stoplight
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 7 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Stoplight as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="stoplight_agent",
            tools=tools,
            system_message=(
                "You help users with Stoplight. "
                "7 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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V8 IsolateSandboxed

Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Stoplight tools. Connect 7 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Workspace Exploration — Rapidly inspect top-level organizational containers invoking list_workspaces, and track operational changes programmatically leveraging list_workspace_activity.
Project Management — Audit your API documentation repositories cataloging initiatives securely using list_projects, and retrieve full visibility metadata invoking get_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 utilizing get_node_details.
Team & Governance — Map project ownership accurately and enforce governance metrics iteratively assigning roles retrieving authorized contributors naturally via list_workspace_members.

The Stoplight MCP Server exposes 7 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Stoplight to AutoGen via MCP

Follow these steps to integrate the Stoplight MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 7 tools from Stoplight automatically

Why Use AutoGen with the Stoplight MCP Server

AutoGen provides unique advantages when paired with Stoplight through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Stoplight tools to solve complex tasks

Role-based architecture lets you assign Stoplight tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Stoplight tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Stoplight tool responses in an isolated environment

Stoplight + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Stoplight MCP Server delivers measurable value.

Collaborative analysis: one agent queries Stoplight while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Stoplight, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Stoplight data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Stoplight responses in a sandboxed execution environment

Stoplight MCP Tools for AutoGen (7)

These 7 tools become available when you connect Stoplight to AutoGen via MCP:

get_node_details

Retrieves details for a specific documentation node

get_project_details

Retrieves details for a specific Stoplight project

list_project_nodes

Lists all documentation nodes (files, endpoints, models) within a project

list_projects

Lists all projects in a specific Stoplight workspace

list_workspace_activity

Lists recent activity logs for a Stoplight workspace

list_workspace_members

Lists all members of a Stoplight workspace

list_workspaces

Lists all accessible Stoplight workspaces

Example Prompts for Stoplight in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Stoplight immediately.

"List my Stoplight projects and show recent workspace activity."

"Retrieve the detailed schema documentation for the processing node in our core billing API project."

"List all active members in the current workspace."

Troubleshooting Stoplight MCP Server with AutoGen

Common issues when connecting Stoplight to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Stoplight + AutoGen FAQ

Common questions about integrating Stoplight MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Stoplight tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.