MCP_server
Verified Safeby ranjith8847
Overview
This project demonstrates building and consuming Model Context Protocol (MCP) servers using Python, leveraging FastAPI for HTTP and STDIO for different transport mechanisms, and integrating with LangChain for LLMs to dynamically discover and use tools.
Installation
uvicorn fast_mcp_server:app --host 0.0.0.0 --port 8000Environment Variables
- SAP_AI_CORE_ENV_VARS
- OPENAI_API_KEY
- PORT
Security Notes
The server code generally appears secure, utilizing standard Python libraries and FastAPI with proper input validation (e.g., division by zero). No 'eval' or direct command injection points were identified. Network requests use httpx with error handling. The primary 'risk' is inherent to LLM applications: the client connects to a configurable BASE_URL, meaning if configured to a malicious server, it could be exploited. However, this is a configuration concern rather than a code vulnerability in the provided server/client logic. LLM interactions inherently require careful prompt engineering and security considerations to prevent misuse of tools.
Similar Servers
MCP_server
This project demonstrates building and consuming Model Context Protocol (MCP) servers using Python, leveraging FastAPI for HTTP and STDIO for different transport mechanisms, and integrating with LangChain for LLMs to dynamically discover and use tools.
fastapi-mcp-server
An API server built with FastAPI, likely for managing or processing data related to an application or system referred to as 'MCP'.
dora-mcp-server
Provides a server implementation for a Multi-Client Protocol (MCP), likely for managing multiple client connections or game interactions.
ai-examples
A basic weather API server built with FastAPI, demonstrating a Microservice Communication Protocol (MCP) server that provides CRUD operations for weather information.