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Integrates Moorcheh's embedding, vector store, search, and generative AI answer services with Model Context Protocol clients.
Exposes Python Rope refactoring library capabilities to Claude Code and command-line users.
Provides AI-powered natural language queries to navigate technical conference data, including sessions, speakers, and schedules, specifically designed for ServerSide.swift 2025.
Integrates with the Keitaro TDS API to provide tools for managing campaigns, streams, offers, and other entities.
Provides a basic server example for integrating Slack with the Model Context Protocol.
Synchronizes work activities across Harvest, Linear, and Slack, featuring automated daily standups and AI-powered time tracking.
Integrates with Claude Desktop to perform automatic speech recognition and manage transcription results.
Enables interaction with a file system via HTTP requests, supporting file operations and content summarization using the Google Gemini API.
Solve complex combinatorial and numerical optimization problems with a unified interface to multiple powerful solvers, empowering AI assistants.
Interfaces with the v0 API through a Model Context Protocol (MCP) server.
Provides a Node.js server to fetch current time and official workdays, holidays, and makeup workdays for specific years and months, integrating multiple data sources.
Provides AI assistants with real-time access to Hacker News stories, comments, searches, and user analytics without requiring API keys.
Enables AI assistants to programmatically control OBS Studio via the OBS WebSocket API, managing scenes, sources, recording, and streaming.
Enables AI assistants to create and run Processing sketches directly using natural language commands.
Integrates Google's Gemini model with Claude using the Model Context Protocol (MCP).
Exposes Jellyseerr API functionality as tools for LLM clients via the Model Context Protocol.
Enables AI agents to collaborate with more capable LLMs for assistance and feedback.
Provides a persistent memory system to combat AI memory loss in large-scale coding projects.
Provides an MCP server to interact with the Pluggy API.
Demonstrates the Model Context Protocol (MCP) for AI assistants to interact with external tools and data sources.
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