Apidog MCP Server for AutoGen 5 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Apidog as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="apidog_agent",
tools=tools,
system_message=(
"You help users with Apidog. "
"5 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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 Apidog MCP Server
Connect your Apidog account to your AI agent and seamlessly access your API specifications, data models, and documentation through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Apidog tools. Connect 5 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
- Discover Projects & Endpoints — Browse your active projects and list all HTTP routes without opening the Apidog client
- Inspect Endpoint Schemas — Fetch the complete anatomy of any route, including its HTTP method, dynamic path params, headers, and request/response body schemas
- Understand Data Models — Query active reusable schemas (DTOs, entities) defined throughout your API
- Export OpenAPI Specs — Extract the complete OpenAPI 3.0 JSON specification from your team’s project to give your AI maximum context for testing or code generation
The Apidog MCP Server exposes 5 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 Apidog to AutoGen via MCP
Follow these steps to integrate the Apidog 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 5 tools from Apidog automatically
Why Use AutoGen with the Apidog MCP Server
AutoGen provides unique advantages when paired with Apidog through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Apidog tools to solve complex tasks
Role-based architecture lets you assign Apidog 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 Apidog tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Apidog tool responses in an isolated environment
Apidog + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Apidog MCP Server delivers measurable value.
Collaborative analysis: one agent queries Apidog while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Apidog, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Apidog data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Apidog responses in a sandboxed execution environment
Apidog MCP Tools for AutoGen (5)
These 5 tools become available when you connect Apidog to AutoGen via MCP:
export_openapi
Export the full OpenAPI 3.0 specification of an Apidog project as JSON
get_endpoint
Fetch the complete schema of a single API endpoint
list_endpoints
List all API endpoints defined within a specific Apidog project
list_projects
List all API projects in the connected Apidog organization
list_schemas
List all data model schemas (DTOs, entities) defined in an Apidog project
Example Prompts for Apidog in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Apidog immediately.
"List all active projects in our Apidog organization."
"Write a TypeScript interface for the response schema of the /users endpoint in the E-commerce project."
"Export the full OpenAPI JSON for the E-commerce project so we can generate unit tests."
Troubleshooting Apidog MCP Server with AutoGen
Common issues when connecting Apidog to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Apidog + AutoGen FAQ
Common questions about integrating Apidog MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Apidog 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.
Connect Apidog to AutoGen
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.
