A curated collection enabling content search, HTTP actions, and macOS tooling with registry-connected CLI.

TypeScript-based notes framework with URI-accessible notes, create_note tool, and summarize_notes prompts for LLM workflows.

Model Context Protocol (MCP) server for Gmail

Beginner-friendly MCP guide with explanations, interactive examples, and a browsable MCP directory.

An implementation of the Model Context Protocol in Ruby.

A Model Context Protocol (MCP) server for Autodesk ShotGrid/Flow Production Tracking (FPT) with comprehensive CRUD operations and data management capabilities.

TypeScript-based tool enabling cross-platform command execution via a protocol interface, with SSH support and Smithery-friendly installation.

Python-based MCP server offering multi-tool integration with Red Hat Insights services and flexible authentication via secrets.

Official MCP-compliant integration that powers AI-assisted feature management with LaunchDarkly. It offers flexible installation modes, API-key authentication, and environment-aware endpoints. It exposes AI configurations and feature flags, supports multiple runtimes, and provides environment-specific endpoints for Commercial, Federal, and EU deployments, enabling reliable context-driven decisions for autonomous agents.

Extensible MCP server delivering concise, context-aware summaries to optimize AI agents and prevent context overflow.

Intelligent model selection and unified file handling for cost-efficient, multimodal Gemini interactions across MCP hosts.

Go-based prompt templating engine with partials, JSON arguments, and hot-reload for dynamic, reusable prompts.

Model Context Protocol-based control for iOS Simulator with STDIO and HTTP modes, covering devices, apps, permissions, and media.

Go-based gateway enabling AI tools to explore and manipulate kintone data with app-level access control.

An MCP server offering per-session persistent Python REPL with history access via a custom repl:// URI and stdout/stderr capture.

.NET implementation of the Model Context Protocol (MCP)

Efficient implementation of the Google Drive MCP server

A lightweight Deno-based starter for OpenAI API integration with a model context-driven agent, featuring configurable endpoints and clear flow.

Running Microsoft's BitNet inference framework via FastAPI, Uvicorn and Docker.

MariaDB-based implementation enabling configurable access controls and read-only schema exposure for streamlined data retrieval.

Offers simplified, message-based access to SonarQube metrics, history, and component trees for quick analytics.

Real-time and historical crypto data across major exchanges via CCXT, enabling fast price insights, market summaries, and robust data feeds for LLMs.

Federated AI runtime enabling cross-organization context sharing with edge computing, federation proxy, and multi-provider deployment for scalable, secure AI workflows.

Java client library for https://mcp.run - call portable and secure tools for your AI Agents and Apps