Can my agent retrieve the summary of a specific meeting from Fathom?

Yes. Use the 'get_summary' tool. Provide the meeting ID, and the agent will return the AI-distilled context, including key discussion points and decisions made during the call natively.

How do I extract action items from a call via chat?

Use the 'get_action_items' tool. Your agent will parse the AI-identified tasks, returning assigned owners and descriptions, making it easy to automate your follow-up workflows.

Can I search for meetings where a specific keyword was mentioned through the agent?

Absolutely. Use the 'search_meetings' tool. Provide your query, and the agent will search through titles, transcripts, and summaries to find matching meetings across your entire Fathom history.

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

Name: Fathom
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 Fathom 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({
        "fathom": {
            "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 Fathom, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 Fathom MCP Server

Connect your Fathom.video account to any AI agent and take full control of your meeting intelligence and automated note-taking through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Fathom 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 Orchestration — List recent meetings and search across your entire recording history to retrieve titles, dates, and participant metadata natively
AI Transcription — Retrieve full speaker-attributed transcripts with timestamps to review exact discussions and verbal commitments limitlessly
Contextual Summarization — Get AI-generated summaries distilling key discussion points, decisions, and overall meeting context into a concise format
Action Item Tracking — Extract AI-identified tasks with assigned owners and due dates to automate post-meeting follow-up workflows
Recording Management — Access video and audio recording URLs for immediate streaming or download bypassing the web interface
Attendee Auditing — List all meeting participants including join/leave times and speaking duration to verify engagement levels synchronously
Team Intelligence — Access meetings shared with your Fathom team to monitor cross-functional discussions and organizational knowledge securely
Highlight Navigation — Retrieve specific moments flagged as important during calls to focus on critical insights without reviewing entire recordings

The Fathom 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 Fathom to LangChain via MCP

Follow these steps to integrate the Fathom 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 Fathom via MCP

Why Use LangChain with the Fathom MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Fathom 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 Fathom queries for multi-turn workflows

Fathom + LangChain Use Cases

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

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

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

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

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

Fathom MCP Tools for LangChain (12)

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

get_action_items

Get AI-identified action items for a meeting

get_attendees

Get the list of participants for a meeting

get_highlights

Get important moments flagged in a meeting

get_me

Get current API token user profile

get_meeting

Get details for a specific Fathom meeting

get_recording

Get the recording URLs for a meeting

get_summary

Get the AI-generated summary for a meeting

get_team_meetings

List meetings shared with your team

get_transcript

Get the full transcript for a meeting

get_webhooks

List configured webhooks

list_meetings

List all Fathom meetings

search_meetings

Search for meetings by keyword

Example Prompts for Fathom in LangChain

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

"Show me the summary and action items for my last meeting"

"Search my meetings for mentions of 'pricing strategy'"

"Get the transcript for meeting 'abc-123'"

Troubleshooting Fathom MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Fathom + LangChain FAQ

Common questions about integrating Fathom 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.