5 posts about FastMCP by 3 contributors.
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Explore GraphRAG workflows: chain, parallelize, and route agents for complex queries. Learn prompt engineering, MCP concurrency, and optimize search strategy.
Unlock the power of MCP servers! Learn how decorators (@mcp.tool, @mcp.prompt, @mcp.resource) structure LLM interactions for secure, scalable AI applications.
Expose your GraphRAG knowledge graph as an MCP server using FastMCP! Enable AI agents to discover & query it automatically. Build a universal AI tool connector.
Build tool-enabled AI with Ollama and FastMCP! This guide covers single-turn & agent loop architectures, enabling LLMs to access tools like calculators and APIs locally. Enhance your LLM's capabilities today!
This article provides a comprehensive guide on enabling APIs for AI-first systems. It begins with an API refresher, then demonstrates building a FastAPI application in Python. The article then explains how to convert the API into an MCP (Machine Communication Protocol) server using FastMCP, making it consumable by AI agents like GitHub Copilot.
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