Can my agent retrieve the full transcript of a specific meeting recording in Fellow?

Yes. Use the 'get_transcript' tool. Provide the recording ID, and the agent will return the speaker-attributed text with timestamps, allowing you to review critical discussions or extract insights limitlessly.

How do I mark an action item as complete via chat?

Use the 'complete_action_item' tool. Provide the item ID. Your agent will update the task status in Fellow and notify the relevant stakeholders, ensuring your project progress is updated synchronously.

Can I see all meeting notes in my workspace through the agent?

Absolutely. The 'list_notes' tool identifies bounded records inside your workspace, returning note IDs, titles, meeting dates, and participants to help you browse your meeting history natively.

Fellow MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Fellow
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Fellow through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "fellow": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Fellow, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Fellow MCP Server

Connect your Fellow.app account to any AI agent and take full control of your meeting management, collaborative agendas, and action item tracking through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Fellow through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Meeting Note Orchestration — List all meeting notes and retrieve full structured content including agenda items, discussion points, and decision metadata natively
Action Item Auditing — List and filter all tasks across meetings to track descriptions, assignees, and due dates for cross-meeting accountability flawlessly
Recording Management — Browse meeting recordings and retrieve video/audio details including time-limited download or stream URLs securely
AI Transcription Retrieval — Fetch full transcripts with speaker attribution and timestamps to review critical discussions or extract specific insights limitlessly
Task Lifecycle Control — Mark action items as complete or archive them to manage your active workspace and notify relevant stakeholders synchronously
Identity Oversight — Retrieve the authenticated profile identity including name, email, and workspace contexts to verify permission limits natively
Data Invalidation — Irreversibly vaporize specific meeting notes or recordings findable by ID to manage your organizational records strictly

The Fellow MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain 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 Fellow to LangChain via MCP

Follow these steps to integrate the Fellow MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Fellow via MCP

Why Use LangChain with the Fellow MCP Server

LangChain provides unique advantages when paired with Fellow through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Fellow MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Fellow queries for multi-turn workflows

Fellow + LangChain Use Cases

Practical scenarios where LangChain combined with the Fellow MCP Server delivers measurable value.

RAG with live data: combine Fellow tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Fellow, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Fellow tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Fellow tool call, measure latency, and optimize your agent's performance

Fellow MCP Tools for LangChain (12)

These 12 tools become available when you connect Fellow to LangChain via MCP:

archive_action_item

Archive an action item, removing it from active views without deleting it

complete_action_item

Use when a task has been finished. Mark an action item as complete

delete_note

Confirm with the user before executing — this cannot be undone. Permanently delete a meeting note by ID

delete_recording

Confirm with the user before executing. Permanently delete a meeting recording by ID

get_action_item

Use to inspect a single task. Retrieve details of a specific action item by ID

get_current_user

Use to verify which account is connected. Retrieve the authenticated Fellow user profile

get_note

Essential for reviewing a specific meeting. Retrieve the full content and metadata of a specific meeting note by ID

get_recording

Use to access a specific recording. Retrieve details of a specific meeting recording

get_transcript

Use for detailed review, compliance documentation, or extracting specific discussion points. Retrieve the full transcript of a meeting recording

list_action_items

Use for cross-meeting task tracking and accountability. List all action items across all meetings

list_notes

Use as the primary entry point to browse all meeting documentation. List all meeting notes in the Fellow workspace

list_recordings

Use to browse all recorded meetings. List all meeting recordings captured by Fellow

Example Prompts for Fellow in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Fellow immediately.

"Show me all my pending action items"

"Get the notes for the meeting 'Product Sync' from last Tuesday"

"List the last 3 meeting recordings"

Troubleshooting Fellow MCP Server with LangChain

Common issues when connecting Fellow to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Fellow + LangChain FAQ

Common questions about integrating Fellow MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.