Step-by-step Model Context Protocol integration tutorials for IDE extensions, featuring tool greetings, browser debugging, and live data demos.

Production-ready TypeScript starter with Bun tooling, Biome linting, automated versioning, and scalable tool scaffolding for rapid development.

A .NET implementation of MCP with dual transports, dynamic tool registration, and OAuth 2.1 flow for secure, extensible AI model tooling.

A local-first knowledge vault with four-layer hierarchy, hybrid search, graph, and cross-model validation for reliable memory and reasoning.

Convert Spring REST API to MCP Server with OpenRewrite

A minimal TypeScript starter template for building Model Context Protocol (MCP) servers.

A simple Model Context Protocol (MCP) server for Clay.

Lightweight MCP server for hyprland.

Open-source Python framework enabling AI assistants to act across Google Chat and other platforms concurrently, preserving shared context and enabling cross-provider collaboration. Built for enterprise security with on-prem deployments, modular provider architecture, and extensible tools to connect Slack, Teams, and custom chat environments.

MCP server that provides code context and analysis for AI assistants. Extracts directory structure and code symbols using WebAssembly Tree-sitter parsers without Native Dependencies.

Bridge enabling secure, automated management of PythonAnywhere resources via a unified protocol for AI tooling.

Hydrolix integration enabling schema exploration, query capabilities, and tool-based data access for LLM-driven workflows.

Integrates VISO TRUST data streams with AI assistants via remote SSE and token-auth, delivering secure risk insights.

Native integration for URL threat intelligence enabling LLMs to access streaming scans, CQL search, and brand monitoring.

MCP Server providing a standardized interface for converting (1) Excel or CSV data into JSON format ;(2) Excel(.xlsx) file into Structured JSON.

Official Litmus integration enabling edge configuration, monitoring, and AI-assisted orchestration with versatile UI and CLI tooling.

Fetches latest Clojars dependencies, validates versions, and provides history for Claude-centered workflows.

TypeScript integration bridging Routine calendars, tasks, and notes via stdin/stdout for automated workflows.

Unofficial MCP server to access Fathom Analytics data with accounts, sites, events, aggregations, and real-time visitors via a streamlined npx setup.

A CLI tool for easy installation of MCP servers and managing their configuration

Lightweight Python client for the Model Context Protocol using Ollama to fetch latest data via stdio transport.

A scalable, secure federated AI runtime enabling cross-domain data access and context retention across distributed tools and datasets.

MCP Bridge is a lightweight, fast, and LLM-agnostic proxy for connecting to multiple Model Context Protocol (MCP) servers through a unified REST API. It enables secure tool execution across diverse environments like mobile, web, and edge devices. Designed for flexibility, scalability, and easy integration with any LLM backend.

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