Browse and discover Model Context Protocol compatible servers
A collection of MCP servers I've put together with various AI tools for infrastructure management
ServiceNow Developer MCP - Technical Specification
MCP-based memory layer for Claude Cowork integrating TL;DV transcripts (Google Drive) with RAG-ready retrieval.
This repository provides an MCP server implementation for retrieving data from Volcengine TOS, exposing data through Resources like PDF documents. It offers tools for listing buckets/objects and retrieving objects, requiring
An MCP server for travelling in Switzerland, using the Swiss OpenData Transport API.
Scan and analyze MCP servers to assess AI agent security risks and provide clear safety scores updated daily.
Transparent stdio multiplexer for MCP servers — share one upstream across multiple Claude Code sessions
🐙 High-availability Tavily MCP load balancer with multi-key polling and native SSE, automatically rotating API keys to boost request limits for Tavily MCP servers.
An easily managed NPM MCP Server with modular skills for claude.
This repository provides a Go SDK for the Model Context Protocol (MCP), enabling developers to build MCP clients and servers for integrating with LLM surfaces using standardized context provision.
This repository offers a WebSocket-based Model Context Protocol (MCP) server and client implementation, including a local LLM chat bot demo, designed to improve upon existing MCP transport layers for efficient communication.
Turn MCP servers, OpenAPI specs, or GraphQL endpoints into efficient CLIs at runtime with zero code generation and minimal token use.
Scan AI artifacts like agent skills and config files for security risks, privacy issues, and instruction-level attacks with a Python CLI tool.
The @fingertip/mcp repository provides a Model Context Protocol server for the Fingertip API, enabling AI assistants to manage Fingertip sites, retrieve site information, and create new sites. The @fingertip/mcp repository
Define and standardize Memory Interchange Format (MIF) to enable seamless memory transfer between AI systems.