SQLite Book Library With FastMCP
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π SQLite Book Library with FastMCP
This project implements a simple Book Library backend using:
- π οΈ FastMCP: to expose Python functions as AI-callable tools
- ποΈ SQLite: to store book data
- βοΈ Uvicorn: to serve the tools over an HTTP SSE interface
It allows Language Models (LLMs) to interact with your local database through tool calls β ideal for Retrieval-Augmented Generation (RAG), autonomous agents, or database assistants.
π Features
- π Add new books using SQL
- π Query books with custom
SELECTqueries - π§ Designed to integrate with LLM agents (e.g., via LlamaIndex)
- π§° Easily extendable: add
update_book()ordelete_book()as needed
π§ Tech Stack
| Component | Description |
|---|---|
FastMCP | Lightweight implementation of the MCP standard |
SQLite | File-based local database (library.db) |
Uvicorn | ASGI server to host the tool interface |
LlamaIndex | Agent framework to interact with MCP tool servers |
βοΈ What is MCP?
MCP (Model Context Protocol) is an open standard designed to help applications connect large language models (LLMs) to external tools and data.
Think of MCP like a USB-C port for LLMs: it standardizes the way models call functions and access data sources.
Why use MCP?
- π Tool interoperability β Easily expose Python functions as callable APIs
- π§ Plug-and-play LLM agents β LLMs can auto-discover and use tools
- π Vendor-agnostic β Use with OpenAI, Anthropic, Hugging Face, or local models
- ποΈ Workflow-friendly β Ideal for building modular AI agents and pipelines
π οΈ Local MCP Setup
server.py β Your tool server
from mcp.server.fastmcp import FastMCP
mcp = FastMCP('sqlite-book-library') # Register your toolset
To start the server:
uv run server.py --server_type=sse
π€ How LLM Agents Use This
Agents connect to your MCP server and call tools directly using natural language instructions.
Example client setup:
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
mcp_client = BasicMCPClient("http://127.0.0.1:8000/sse")
mcp_tools = McpToolSpec(client=mcp_client)
This client will auto-discover tools like add_book, get_books, and more.
β¨ Example instruction to LLM: βAdd a book titled The Alchemist by Paulo Coelho, published in 1988, genre Fiction.β
The LLM will convert this into a SQL INSERT and call the add_book() tool.
