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Integrates GitLab merge request analysis with Confluence documentation via an MCP server.
Provides a simple Node.js and TypeScript-based server project with a basic tutorial.
Enables LLMs to search and retrieve academic papers from arXiv, providing cleaned titles, abstracts, and content.
Curates a collection of resources, guides, and tools for the Multi-Channel Platform (MCP) community.
Demonstrates a vulnerable server with multiple clients to showcase security weaknesses for educational purposes.
Indexes and serves Terraform/Tofu provider documentation from local Git repositories to enable accurate, context-aware code generation.
Connects AI applications to the huuh.me platform, facilitating collaborative AI and knowledge management.
Access Zendesk Help Center content anonymously through a standardized MCP server interface.
Transforms any GitHub project into a documentation hub, enabling AI tools to access up-to-date documentation and code and eliminate code hallucinations.
Offers a comprehensive open-source collection of AI projects, Model Context Protocol (MCP) servers, and extensive learning resources.
Establishes a persistent personal and organizational knowledge base, providing AI agents with instant context about user identity and preferences.
Exposes a JSON-RPC endpoint for retrieving simplified weather data from OpenWeatherMap.
Connects Notion accounts with ChatGPT, providing controlled access to specific Notion pages for AI models.
Stores and retrieves information using vector embeddings to enable semantic search capabilities.
Provides up-to-date, version-specific code documentation directly into Large Language Models and AI code editors to improve code generation accuracy.
Manages school attendance records and enables GitHub repository operations through a unified MCP server.
Crawls Deepwiki URLs, converts relevant content into standardized Markdown, and provides it in various formats for AI processing.
Connects AI assistants to a personal self-awareness framework, linking daily actions to core motivations.
Equips large language models with persistent memory and knowledge retrieval capabilities through semantic search over markdown vaults.
Integrates local Large Language Models directly into your codebase for cost-efficient, always up-to-date documentation and querying.
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