Model Context Protocol servers that extend AI capabilities
Enhances the ultimatememory system with Context7 and Sequential Thinking MCP tools for improved memory management and task execution.
...moreFacilitates AI model interaction with WikiJS content through a TypeScript-based MCP server, enabling document search, creation, and management.
...moreFacilitates reading and querying JSON-based knowledge bases for seamless integration with LLMs like Claude.
Facilitates AI agents in maintaining persistent project memory through a memory file system, enabling seamless information retrieval and updates during interactions.
...moreA TypeScript-based MCP server implementing a simple note-taking system with URI-based resource management and note summarization tools.
...moreFacilitates project documentation management and conversation log saving within a specified directory using Node.js and GitHub API interactions.
...moreConnects to PatentSafe to retrieve documents using raw Lucene queries.
A specialized MCP server for ViteaOS that connects AI assistants with MongoDB to manage personal information, including item location, travel time estimation, contact management, biodata analysis, and task tracking.
...moreGitMCP transforms GitHub projects into documentation hubs, enabling AI tools to access up-to-date documentation and code, reducing hallucinations and improving code accuracy.
...moreFacilitates document ingestion, chunking, semantic search, and note management with a custom URI scheme and robust content extraction tools.
...moreA task management server with persistent memory architecture, integrating Claude AI for intelligent planning and task execution using the Model Context Protocol.
...moreA Model Context Protocol server offering access to the latest documentation for various services.
Enables AI assistants to utilize a Neo4j knowledge graph for dynamic coding workflows and project memory management.
A boilerplate for creating an MCP server that stores and retrieves information using vector embeddings, enabling semantic search and integration with AI assistants like Claude.
...moreA boilerplate for creating an MCP server that utilizes vector embeddings for storing and retrieving information, enabling semantic search and integration with AI assistants like Claude.
...moreProvides comprehensive geographic information services through a set of MCP protocol-compliant APIs, including geocoding, reverse geocoding, and route planning.
...moreFacilitates map rendering and geocoding via Yandex Maps APIs, enabling location-based queries and visualizations.
Facilitates interaction with Google Maps API for geocoding, reverse geocoding, place searches, and more.
Facilitates geocoding, location services, and route planning using Amap's API for various transportation modes.
Utilizes Naver Map APIs for geocoding, reverse geocoding, and route searches, integrated with Claude Desktop.
Provides real-time information on Zaragoza's public transport systems, including trams, buses, and Bizi bike services.
A TypeScript-based MCP server that manages and summarizes text notes using URIs and metadata.
Facilitates geolocation data retrieval for AI models using EdgeOne Pages Functions and MCP integration.
Showcases geocoding tool implementations using Google Maps API in Python and TypeScript, serving as a guide for developers to create MCP tools.
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