Provides an MCP server interface to IPLocate.io, delivering detailed IP address intelligence including geolocation, network details, privacy detection, and abuse contact information. Easily integrates with popular MCP clients like Cursor and Claude Desktop for seamless IP lookups. Enables users to retrieve geographic, organizational, and security-related data associated with IPv4 and IPv6 addresses by connecting to the IPLocate.io API.

• ⭐ 11
• MCP
• iplocate/mcp-server-iplocate

Provides an MCP (Model Context Protocol) server interface for Aiwen Technology’s high-precision IP location services, offering a range of geolocation, network, risk, and identity APIs compatible with AI context standards. Supports detailed IP information retrieval, including geolocation to city, district, or street level, network characteristics, industry classification, risk profiling, and user authenticity analysis. Enables seamless AI model integration and context-aware processing by following the MCP protocol.

• ⭐ 4
• MCP
• ipfred/aiwen-mcp-server-geoip

IP Find MCP Server acts as a Model Context Protocol (MCP) server, allowing AI assistants to access geolocation data from the IP Find API. It connects the IP Find API with AI tools, enabling the retrieval of IP address location information in standardized contexts. Designed for integration with MCP clients such as the Claude Desktop App, it simplifies configuration and secure API key management. The server is certified by MCPHub.

• ⭐ 2
• MCP
• ipfind/ipfind-mcp-server

Weather MCP Server is a Model Context Protocol (MCP) implementation that provides comprehensive weather and air quality information using the Open-Meteo API. It supports various transport modes including standard stdio for desktop clients, HTTP Server-Sent Events (SSE), and Streamable HTTP for modern web integration. The server offers both real-time and historical weather metrics, as well as timezone and time conversion functionalities. Installation and integration options are available for both MCP desktop clients and web applications.

• ⭐ 26
• MCP
• isdaniel/mcp_weather_server

Implements a Model Context Protocol (MCP) server that provides comprehensive geolocation and network details for IPv4 and IPv6 addresses using the IP2Location.io API. Designed for integration with tools like Claude Desktop, it offers asynchronous processing and supports both free and API-key authenticated usage. It returns extensive data such as geographic location, ISP, domain information, proxy detection, and security insights.

• ⭐ 12
• MCP
• ip2location/mcp-ip2location-io

mcp-trinv-server is an implementation of the Model Context Protocol (MCP) designed to augment AI assistants like Claude and Gemini with advanced search capabilities. It enables searching for French communes based on name fragments and retrieving cadastral parcels within a specified commune by surface area. The tool integrates with the TRINV platform and provides standardized MCP integration for AI applications.

• ⭐ 1
• MCP
• cqtrinv/trinvmcp

IP Geolocation MCP Server provides a Model Context Protocol (MCP) server that integrates with the ipinfo.io API to fetch detailed IP address information. It allows obtaining location, organization, and network details about users, facilitating context-aware AI applications. The tool can be seamlessly installed or integrated in client environments supporting MCP, with a focus on simplicity and developer-friendliness.

• ⭐ 36
• MCP
• briandconnelly/mcp-server-ipinfo

Cross-LLM MCP Server is a Model Context Protocol (MCP) server enabling seamless access to a range of Large Language Model APIs including ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, and Mistral. It provides a unified interface for invoking different LLMs from any MCP-compatible client, allowing users to call and aggregate responses across providers. The server implements eight specialized tools for interacting with these LLMs, each offering configurable options like model selection, temperature, and token limits. Output includes model context details as well as token usage statistics for each response.

• ⭐ 9
• MCP
• JamesANZ/cross-llm-mcp

Memory MCP provides a Model Context Protocol (MCP) server for logging, retrieving, and managing memories from large language model (LLM) conversations. It offers features such as context window caching, relevance scoring, and tag-based context retrieval, leveraging MongoDB for persistent storage. The system is designed to efficiently archive, score, and summarize conversational context, supporting external orchestration and advanced memory management tools. This enables seamless handling of conversation history and dynamic context for enhanced LLM applications.

• ⭐ 10
• MCP
• JamesANZ/memory-mcp

Context7 MCP delivers current, version-specific documentation and code examples directly into large language model prompts. By integrating with model workflows, it ensures responses are accurate and based on the latest source material, reducing outdated and hallucinated code. Users can fetch relevant API documentation and examples by simply adding a directive to their prompts. This allows for more reliable, context-rich answers tailored to real-world programming scenarios.

• ⭐ 36,881
• MCP
• upstash/context7

Membase-MCP Server provides decentralized and persistent storage of conversation history and agent knowledge for AI agents using Unibase and the Model Context Protocol. It supports secure, traceable storage and retrieval of messages to ensure agent continuity and personalization within interactions. The server offers integration with Claude, Windsurf, Cursor, and Cline, allowing dynamic context management such as switching conversations and saving or retrieving messages. The server leverages the Unibase DA network for verifiable storage and agent data interoperability.

• ⭐ 15
• MCP
• unibaseio/membase-mcp

Biel.ai MCP Server enables AI tools such as Cursor, VS Code, and Claude Desktop to access and utilize a company’s product documentation and knowledge base through the Model Context Protocol. It provides a hosted RAG layer that makes documentation searchable and usable, supporting real-time, context-rich completion and answers for developers. The server can be used as a hosted solution or self-hosted locally or via Docker for advanced customization.

• ⭐ 2
• MCP
• TechDocsStudio/biel-mcp

MCP Local RAG is a privacy-preserving, local document search server designed for use with Model Context Protocol (MCP) clients such as Cursor, Codex, and Claude Code. It enables users to ingest and semantically search local documents without using external APIs or cloud services. All processing, including embedding generation and vector storage, is performed on the user's machine. The tool supports document ingestion, semantic search, file management, file deletion, and system status reporting through MCP.

• ⭐ 10
• MCP
• shinpr/mcp-local-rag

Ragie Model Context Protocol Server enables AI models to access and retrieve information from a Ragie-managed knowledge base using the standardized Model Context Protocol (MCP). It provides a retrieve tool with customizable query options and supports integration with tools like Cursor and Claude Desktop. Users can configure API keys, specify partitions, and override tool descriptions. Designed for rapid setup via npx and flexible for project-specific or global usage.

• ⭐ 81
• MCP
• ragieai/ragie-mcp-server

Pinecone Assistant MCP Server is an implementation of the Model Context Protocol (MCP) for seamless integration with Pinecone Assistant. It enables retrieval of information and supports configurable multiple result fetching. The server can be run via Docker or built from source with Rust and integrates with tools like Claude Desktop.

• ⭐ 37
• MCP
• pinecone-io/assistant-mcp