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Integrates YaCy web search capabilities into AI applications via the Model Context Protocol.
Provides a foundational template for implementing queue component plugins within an abstract backend library.
Generate structured JSON documentation from Java source code or crawl existing HTML Javadoc for intelligent search capabilities.
Provides a comprehensive API to manage contributions, links, and profile data for the GitHub Stars program using a personal API token.
Orchestrate advanced language model workflows by combining robust data retrieval with efficient vector database capabilities for enhanced generation.
Facilitates agents in capturing website screenshots through a dedicated server.
Access Mixpanel analytics data, including events, retention, funnels, and cohorts, through natural language conversations with Claude.
Provides a containerized Model Context Protocol server for managing secrets in HashiCorp Vault.
Provides a customizable, production-ready foundation template for building Model Context Protocol (MCP) servers.
Wraps a FastAPI application as an MCP server, enabling its endpoints to be called as tools directly via Gemini CLI.
Enables dynamic tool loading and execution for MCP servers using Starlark scripting.
Provides a Model Context Protocol (MCP) demo server for integrating external functionalities like weather and prayer times into AI clients.
Empowers AI agents to perform precise code modifications and comprehensive symbol management across codebases.
Deploys an unauthenticated remote AI Model Context Protocol server on Cloudflare Workers for custom tool integration.
Access detailed weather forecasts, air quality, meteorological alerts, and astronomical information from the Hefeng QWeather API.
Integrates Todoist task and project management with AI assistants via a local Model Context Protocol (MCP) server.
Automate API testing by capturing live API requests and responses to generate test cases with mocks and stubs.
Integrates Leantime project and ticket management with AI assistants via the Model Context Protocol.
Integrates Discord API, executes Python code in persistent IPython sessions, and extracts URL content with readability parsing.
Relays detailed error logs from other MCP servers to LLMs, enabling more intelligent error recovery and reducing token waste.
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