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Oct 31, 2025
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feat(mcp): add python FastMCP #15347

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48 changes: 43 additions & 5 deletions docs/product/insights/ai/mcp/getting-started.mdx
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Expand Up @@ -8,15 +8,16 @@ Sentry MCP Observability helps you track and debug Model Context Protocol (MCP)

To start sending MCP data to Sentry, make sure you've created a Sentry project for your MCP-enabled repository and follow the guide below:

## Requirements

<VersionRequirement product="MCP Observability" sdk="Node SDK" minVersion="9.46.0" />


## Supported SDKs

### JavaScript - MCP Server

<VersionRequirement
product="MCP Observability"
sdk="Node SDK"
minVersion="9.46.0"
/>

The Sentry JavaScript SDK supports MCP observability by wrapping the MCP Server from the [@modelcontextprotocol/sdk](https://www.npmjs.com/package/@modelcontextprotocol/sdk) package. This wrapper automatically captures spans for your MCP server workflows including tool executions, resource access, and client connections.

#### Quick Start with MCP Server
Expand All @@ -41,3 +42,40 @@ const server = Sentry.wrapMcpServerWithSentry(new McpServer({

...
```

### Python - MCP Server

<VersionRequirement
product="MCP Observability"
sdk="Python SDK"
minVersion="2.43.0"
/>

The Sentry Python SDK supports MCP observability for [FastMCP](https://gofastmcp.com/getting-started/welcome). The integration automatically captures spans for your MCP server workflows including tool executions, resource access, and prompt handling.

#### Quick Start with FastMCP

```python
import sentry_sdk
from mcp.server.fastmcp import FastMCP

# Sentry init needs to be above everything else
sentry_sdk.init(
dsn="___PUBLIC_DSN___",
traces_sample_rate=1.0,
# Optional: Enable to capture tool call arguments and results in Sentry, which may include PII
send_default_pii=True,
)

# Create the MCP server
mcp = FastMCP("Example MCP Server")

# Define a tool
@mcp.tool()
async def calculate_sum(a: int, b: int) -> int:
"""Add two numbers together."""
return a + b

# Run the server
mcp.run()
```
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