Fellow MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Fellow Status, Complete Action Item, Create Action Item, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Fellow through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Fellow app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Fellow "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Fellow?"
)
print(result.data)
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 Fellow MCP Server
Connect your Fellow workspace to any AI agent and manage your entire meeting workflow through natural conversation.
Pydantic AI validates every Fellow tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Meetings — List and inspect meetings with titles, participants, dates, and agendas.
- Notes — Access structured meeting notes and AI-generated summaries.
- Action Items — Create, track, and complete action items with assignees and due dates.
- Streams — Browse recurring meeting series and their schedules.
- Users — List all workspace members and their roles.
The Fellow MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Fellow tools available for Pydantic AI
When Pydantic AI connects to Fellow through Vinkius, your AI agent gets direct access to every tool listed below — spanning meeting-management, collaborative-agendas, action-items, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify Fellow API connectivity
Mark an action item as completed
Optionally link it to a meeting, assign to a user by email, and set a due date. Create a new action item from a meeting
Get details of a specific action item
Get full details of a specific meeting
Get full content of a specific note
Get details of a specific meeting stream
Optionally filter by status: "pending", "completed", or "archived". List action items from meetings
List recent meetings from Fellow
Optionally filter by a specific meeting ID to get notes for that meeting only. List meeting notes
List all meeting streams (recurring series)
List all users in the Fellow workspace
Connect Fellow to Pydantic AI via MCP
Follow these steps to wire Fellow into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Fellow MCP Server
Pydantic AI provides unique advantages when paired with Fellow through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Fellow integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Fellow connection logic from agent behavior for testable, maintainable code
Fellow + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Fellow MCP Server delivers measurable value.
Type-safe data pipelines: query Fellow with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Fellow tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Fellow and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Fellow responses and write comprehensive agent tests
Example Prompts for Fellow in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Fellow immediately.
"Show me my recent meetings in Fellow."
"Create an action item 'Send proposal to client' and assign it to sarah@team.com with a due date of May 10."
"List all pending action items."
Troubleshooting Fellow MCP Server with Pydantic AI
Common issues when connecting Fellow to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFellow + Pydantic AI FAQ
Common questions about integrating Fellow MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.