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Integrates Raindrop.io bookmarks with Large Language Models using the Model Context Protocol.
Retrieves information from the AWS Knowledge Base using the Bedrock Agent Runtime, enabling Retrieval-Augmented Generation (RAG).
Enables AI models to programmatically interact with the Windows command line interface.
Enables AI models to perform file system operations through a standardized API.
Automates browser tasks using natural language commands.
Queries the Untappd API for beer information using the Model Context Protocol.
Enables Claude AI assistant to interact with and manage GitHub repositories.
Retrieves Wikipedia summaries for AI assistants using a FastAPI server.
Demonstrates the integration and usage of the GitHub API through MCP server functionality.
Provides a server-side Message Control Protocol for AtendeAi.
Enables language models to interact directly with the Notion API using the Model Context Protocol.
Enables AI assistants to perform web automation tasks by controlling a browser through a Playwright-based Model Control Protocol server deployed on Cloudflare Workers.
Empower AI agents to become high-performance managers by delegating precise tasks to specialized, deterministic tools.
Enables AI models to query and interact with PostgreSQL databases via the Model Context Protocol.
Enables searching YouTube content through various implementation approaches, including direct API calls and the Model Context Protocol (MCP).
Deploys a remote API gateway for managing Google Docs operations, facilitating integration with AI assistants like Claude Web through custom connectors.
Provides weather information and web search capabilities, designed for conversational AI agents.
Generate detailed captions, alt text, and structured JSON metadata for images using large vision models.
Provides a sample Model Context Protocol server offering tools to fetch public API data like quotes, jokes, and advice.
Provides large language models with a mental map of your codebase, featuring progressive disclosure to keep context windows clean and bloat-free.
Provides a lightweight CLI to manage and track Python environments, simplifying development across multiple projects.
Provides AI clients with tools including web search capabilities and random number generation, built on ASP.NET Core.
Indexes local code repositories, parses their structure, and serves the codebase context to AI agents via the Model Context Protocol.
Establishes a Python MCP server for the Longbridge OpenAPI, facilitating access to market data and trading operations.
Provides a Microcontroller Protocol (MCP) server and Prometheus exporter for monitoring and managing Thread networks.
Provides AI agents with direct access to Mixpanel's analytics, user profiles, and event data through a Model Context Protocol server.
Connects large language models to the Kotlin Language Server, enhancing code analysis with Go to Definition, Find References, and Workspace Symbol Search capabilities.
Provides AI agents with an optimized local business directory, offering structured data, pricing, hours, and confidence scores for reliable recommendations.
Accesses 13 academic sources in parallel to search, download, and generate bibliographies for research papers.
Generates standardized tracking code based on the Model Context Protocol (MCP) for enterprise-level event tracking.
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