A working example to create a FastAPI server with SSE-based MCP support
A working example to create a FastAPI server with SSE-based MCP support
A Server-Sent Events (SSE) implementation using FastAPI framework with Model Context Protocol (MCP) integration.
The Model Context Protocol (MCP) is an open standard that enables AI models to interact with external tools and data sources. MCP solves several key challenges in AI development:
Install UV Package Manager - A fast Python package installer written in Rust:
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| get_alerts | Get weather alerts |
| get_forcast | Get weather forecast |
Install UV Package Manager - A fast Python package installer written in Rust:
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
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Queue parallel-agent worktree branches, test together, serialize and recover Git pushes.
Code indexing library for AI coding agents. Parses source code with tree-sitter, chunks it into semantic units (functions, structs, classes, impl blocks), embeds them locally, and stores everything…
Listing repository for the hosted, read-only ResolveMesh compatibility MCP server. The service code is not in this repository; this repo exists so directories that index GitHub can reference the…