Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"fathom": {
"env": {
"FATHOM_API_KEY": "your_api_key_here"
},
"args": [
"--directory",
"/path/to/fathom-mcp",
"run",
"fastmcp",
"run",
"server.py"
],
"command": "uv"
}
}
}Are you the author?
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A Model Context Protocol (MCP) server for interacting with the Fathom AI API. This server provides tools for accessing meeting recordings, summaries, transcripts, teams, and webhooks.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'fastmcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
FastMCP OpenAPI Provider has an SSRF & Path Traversal Vulnerability
## Technical Description The `OpenAPIProvider` in FastMCP exposes internal APIs to MCP clients by parsing OpenAPI specifications. The `RequestDirector` class is responsible for constructing HTTP requests to the backend service. A critical vulnerability exists in the `_build_url()` method. When an OpenAPI operation defines path parameters (e.g., `/api/v1/users/{user_id}`), the system directly substitutes parameter values into the URL template string **without URL-encoding**. Subsequently, `urll
FastMCP: Missing Consent Verification in OAuth Proxy Callback Facilitates Confused Deputy Vulnerabilities
## Summary While testing the *GitHubProvider* OAuth integration, which allows authentication to a FastMCP MCP server via a FastMCP OAuthProxy using GitHub OAuth, it was discovered that the FastMCP OAuthProxy does not properly validate the user's consent upon receiving the authorization code from GitHub. In combination with GitHub’s behavior of skipping the consent page for previously authorized clients, this introduces a Confused Deputy vulnerability. ## Technical Details An adversary can initi
FastMCP has a Command Injection vulnerability - Gemini CLI
Server names containing shell metacharacters (e.g., `&`) can cause command injection on Windows when passed to `fastmcp install claude-code` or `fastmcp install gemini-cli`. These install paths use `subprocess.run()` with a list argument, but on Windows the target CLIs often resolve to `.cmd` wrappers that are executed through `cmd.exe`, which interprets metacharacters in the flattened command string. PoC: ```python from fastmcp import FastMCP mcp = FastMCP(name="test&calc") @mcp.tool def rol
FastMCP OAuth Proxy token reuse across MCP servers
While testing the OAuth Proxy implementation, it was noticed that the server does not properly respect the `resource` parameter submitted by the client in the authorization and token request. Instead of issuing the token explicitly for this MCP server, the token is issued for the `base_url` passed to the `OAuthProxy` during initialization. **Affected File:** *https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/server/auth/oauth_proxy.py#L828* **Affected Code:** ```python self._jwt_issuer:
FastMCP updated to MCP 1.23+ due to CVE-2025-66416
There was a recent CVE report on MCP: https://nvd.nist.gov/vuln/detail/CVE-2025-66416. FastMCP does not use any of the affected components of the MCP SDK directly. However, FastMCP versions prior to 2.14.0 did allow MCP SDK versions <1.23 that were vulnerable to CVE-2025-66416. Users should upgrade to FastMCP 2.14.0 or later.
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Others in analytics / productivity
Persistent memory using a knowledge graph
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mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
MCP Server for GCP environment for interacting with various Observability APIs.
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A Model Context Protocol (MCP) server for interacting with the Fathom AI API. This server provides tools for accessing meeting recordings, summaries, transcripts, teams, and webhooks.
git clone https://github.com/Dot-Fun/fathom-mcp.git
cd fathom-mcp
uv pip install fastmcp httpx pydantic
export FATHOM_API_KEY="your_api_key_here"
fastmcp run server.py
Clone this repository or copy the files to your local machine
Install dependencies using uv (recommended) or pip:
# Using uv (recommended)
uv pip install -e .
# Or using pip
pip install -e .
Create a .env file in the project root:
FATHOM_API_KEY=your_api_key_here
The server auto-loads .env for local usage.
Get your API key from the Fathom settings page.
# Using fastmcp CLI
fastmcp run server.py
# Or directly with Python
python server.py
# Modify server.py to run as HTTP server
if __name__ == "__main__":
mcp.run(transport="http", host="0.0.0.0", port=8000)
Add to your Claude Desktop configuration (claude_desktop_config.json):
{
"mcpServers": {
"fathom": {
"command": "uv",
"args": [
"--directory",
"/path/to/fathom-mcp",
"run",
"fastmcp",
"run",
"server.py"
],
"env": {
"FATHOM_API_KEY": "your_api_key_here"
}
}
}
}
Add this block to your Codex config (~/.codex/config.toml):
[mcp_servers.fathom]
command = "uv"
args = ["--directory", "/path/to/fathom-mcp", "run", "fastmcp", "run", "server.py"]
Then restart Codex (or reload MCP servers) and verify:
codex mcp list
All requests require the FATHOM_API_KEY environment variable. API keys are user-level and can access:
RateLimit-Limit, RateLimit-Remaining, RateLimit-Reset# List meetings with transcripts from the last week
result = await list_meetings(
created_after="2024-01-01T00:00:00Z",
include_transcript=True,
include_summary=True
)
# Get summary for a specific recording
summary = await get_summary(recording_id=123456789)
# Create webhook for team re
... [View full README on GitHub](https://github.com/Dot-Fun/fathom-mcp#readme)