<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>FastAPI MCP on SoloSoft</title><link>https://www.solosoft.dev/tags/fastapi-mcp/</link><description>Recent content in FastAPI MCP on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/fastapi-mcp/index.xml" rel="self" type="application/rss+xml"/><item><title>FastAPI MCP: Expose FastAPI Endpoints as MCP Tools</title><link>https://www.solosoft.dev/post/fastapi-mcp-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/fastapi-mcp-2026/</guid><description>&lt;p&gt;If you have a FastAPI application, you have a potential goldmine of tools for AI agents. FastAPI MCP, created by tadata-org, automatically converts your existing FastAPI endpoints into MCP-compatible tools that AI assistants can discover and invoke, with zero code changes to your application.&lt;/p&gt;
&lt;p&gt;The tool works by introspecting your FastAPI route definitions, extracting parameter schemas, descriptions, and authentication requirements, and generating MCP tool definitions on the fly. Every endpoint with a description tag becomes an MCP tool. The integration is automatic and bidirectional&amp;ndash;changes to your API are immediately reflected in the available tools.&lt;/p&gt;
&lt;h2 id="key-capabilities"&gt;Key Capabilities&lt;/h2&gt;
&lt;table&gt;
 &lt;thead&gt;
 &lt;tr&gt;
 &lt;th&gt;Feature&lt;/th&gt;
 &lt;th&gt;Description&lt;/th&gt;
 &lt;/tr&gt;
 &lt;/thead&gt;
 &lt;tbody&gt;
 &lt;tr&gt;
 &lt;td&gt;Automatic conversion&lt;/td&gt;
 &lt;td&gt;No code changes needed to your FastAPI app&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;Schema extraction&lt;/td&gt;
 &lt;td&gt;Uses OpenAPI/Pydantic models for type-safe tool definitions&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;Auth support&lt;/td&gt;
 &lt;td&gt;Handles API keys, OAuth, and bearer tokens&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;Streaming&lt;/td&gt;
 &lt;td&gt;Supports SSE transport for real-time responses&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;Documentation&lt;/td&gt;
 &lt;td&gt;Endpoint descriptions become tool descriptions&lt;/td&gt;
 &lt;/tr&gt;
 &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id="integration-architecture"&gt;Integration Architecture&lt;/h2&gt;

&lt;figure class="mermaid-wrapper not-prose" role="img" aria-label="Mermaid diagram"&gt;
 &lt;div class="mermaid-container"&gt;
 &lt;pre class="mermaid"&gt;flowchart LR
 A[FastAPI App] --&amp;gt; B[FastAPI MCP Adapter]
 B --&amp;gt; C[MCP Server]
 C --&amp;gt; D[Tool: GET /users]
 C --&amp;gt; E[Tool: POST /orders]
 C --&amp;gt; F[Tool: PUT /inventory]
 C --&amp;gt; G[Tool: DELETE /items]
 H[AI Agent] --&amp;gt; I[MCP Client]
 I --&amp;gt; J[JSON-RPC]
 J --&amp;gt; C&lt;/pre&gt;
 &lt;script type="application/mermaid"&gt;flowchart LR
 A[FastAPI App] --&gt; B[FastAPI MCP Adapter]
 B --&gt; C[MCP Server]
 C --&gt; D[Tool: GET /users]
 C --&gt; E[Tool: POST /orders]
 C --&gt; F[Tool: PUT /inventory]
 C --&gt; G[Tool: DELETE /items]
 H[AI Agent] --&gt; I[MCP Client]
 I --&gt; J[JSON-RPC]
 J --&gt; C&lt;/script&gt;
 &lt;/div&gt;
&lt;/figure&gt;&lt;p&gt;The adapter sits between your FastAPI application and the MCP protocol. It reads your route definitions and generates MCP tool definitions automatically. When an AI agent calls a tool, the adapter routes the request to the appropriate endpoint and returns the response.&lt;/p&gt;</description></item></channel></rss>