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Integrates RAGFlow's knowledge base querying and document management capabilities directly into Claude Desktop.
Retrieves content from a ONES Wiki and converts it into an AI-friendly text format.
Demonstrates a minimal, working example of a Multi-Client Protocol server and client using the stdio method.
Showcases MCP server API capabilities through a demonstration.
Provides up-to-date, version-specific documentation and code examples directly to Large Language Models (LLMs) to enhance code generation accuracy.
Manages and retrieves OpenAPI documentation for inspecting and interacting with APIs.
Facilitates Retrieval Augmented Generation (RAG) using LlamaIndex, Gemini embeddings, and LanceDB for local knowledge storage.
Enables large language models to intelligently read, process, and navigate long-form documents.
Empowers AI coding assistants with comprehensive project memory and context awareness for enhanced development workflows.
Provides a search engine for Micronaut documentation and guides, accessible via a web application and an MCP Server.
Generates complete constructor examples with placeholder values for Pulumi resources.
Access the comprehensive HackTricks knowledge base to retrieve hacking techniques, explanations, and advice via MCP-compatible LLMs.
Integrates Confluence with AI assistants, enabling natural language interactions with documentation.
Provides semantically related Ethereum Improvement Proposals (EIPs) to AI agents.
Incentivizes AI developer communities through a Solana-based protocol focused on knowledge sharing and Model Context Protocol (MCP) integration.
Provides a template repository for running a local language model with an included knowledge base.
Provides comprehensive tooling support for Ember.js development, integrating Ember CLI commands, codemods, documentation, and community resources.
Provides a unified interface for accessing up-to-date documentation of popular libraries.
Provides a starting point for creating Message Passing Concurrency (MCP) servers.
Performs comprehensive project analysis through real code parsing, AST-level component extraction, and intelligent context generation for AI coding assistants.
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