What database system does MedifinderMCP require?
PostgreSQL. You must create a database named `medifinderbot` and configure connection details in the `.env` file.
@MediFinderBot
基本信息
Message Communication Protocol (MCP) server that facilitates secure, standardized communication between system components and the medicine inventory database. Provides RESTful endpoints for location-based medicine searches, availability queries, and optimized messaging for WhatsA
Search for medicines by name or location
Find locations where a medicine is available
Get stock information for a specific medicine
Get medicine statistics by region
Get overall medicine statistics
Check database connectivity and content
Detailed database connection diagnostics
Create database tables based on models
MedifinderMCP is a Model Context Protocol (MCP) server designed for querying a medicine inventory database. It allows AI assistants like Claude to search for medicines by name or location, check availability at healthcare facilities, get stock information, and view regional statistics. It targets users who need to manage or analyze pharmaceutical inventory data through natural language interfaces.
Install dependencies and set up a PostgreSQL database with the schema provided in the README. Configure environment variables in a .env file, then run python main.py to start the server. Integrate with Claude Desktop by running mcp install run-mcp-server.bat -f .env or by editing Claude’s configuration file manually.
PostgreSQL. You must create a database named `medifinderbot` and configure connection details in the `.env` file.
Start the server and use the built‑in `create_database_schema` tool. It will create all tables defined in the models.
The server provides `diagnose_database`, `troubleshoot_connection`, and `create_database_schema` tools to check connectivity, table structure, and data presence.
You can run `mcp install run-mcp-server.bat -f .env` from the project directory, or manually add the server configuration to Claude Desktop’s config file.
Yes. The `MAX_SEARCH_RESULTS` environment variable (default 50) limits the number of results, and the `SEARCH_SIMILARITY_THRESHOLD` (default 0.3) controls how similar results must be to the query.

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