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Implementation MCP Server

Repository for MCP server implementation

Local serverstdioPython

What is the Implementation MCP Server?

Repository for MCP server implementation

The short version

A complete Flask-based implementation of Model Context Protocol (MCP) for enhancing Large Language Model capabilities with external tools.

This repository demonstrates how to build a server that handles Model Context Protocol (MCP), a method for extending LLM capabilities through tool invocation directly in the model's text output. Unlike function calling, MCP places tool definitions directly in the context window and parses the model's natural language responses to identify tool usage.

  • 🔧 Complete MCP Implementation: Full parsing, execution, and response handling
  • 🌤️ Sample Tools: Weather and calculator tools with parameter validation
  • 🔄 Conversation Flow: Maintains context across multiple interactions
  • 🧩 Regex-Based Parsing: Flexible text parsing for tool invocations
  • 🚀 Flask API: REST API endpoints for chat integration

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Configuration

VariableDescriptionRequired
LLM_API_KEYCredential the server authenticates with.Yes
WEATHER_API_KEYCredential the server authenticates with.Yes

Frequently asked questions

MCP places tool definitions in the prompt text and parses natural‑language responses for tool calls, while function calling uses structured JSON in API parameters and requires API support.

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