MCPs tagged with # contextual search

mcp-kibela is a Model Context Protocol (MCP) server implementation that enables AI assistants to search, retrieve, create, and update content from Kibela, a team knowledge-sharing platform. It provides standardized endpoints for note search, fetching individual or recent notes, and managing note content. Integrating with tools like Claude, Cursor, and VSCode, it allows seamless, secure access to organizational knowledge through MCP-enabled clients. Authentication via environment variables ensures secure connections to Kibela APIs.

• ⭐ 12
• MCP
• kj455/mcp-kibela

Implements the Model Context Protocol (MCP) to provide AI models with structured access to camping and outdoor recreation data. Offers tools for searching, filtering, and booking campgrounds and sites based on a wide range of criteria. Enhances data accuracy with AI and aggregates information from multiple sources, enabling dynamic, real-time queries and bookings. Ideal for integrating intelligent camping experiences into AI-driven applications.

• ⭐ 11
• MCP
• campertunity/mcp-server

Driflyte MCP Server acts as a bridge between AI-powered assistants and diverse, topic-aware content sources by exposing a Model Context Protocol (MCP) server. It enables retrieval-augmented generation workflows by crawling, indexing, and serving topic-specific documents from web pages and GitHub repositories. The system is extensible, with planned support for additional knowledge sources, and is designed for easy integration with popular AI tools such as ChatGPT, Claude, and VS Code.

• ⭐ 9
• MCP
• serkan-ozal/driflyte-mcp-server

OpenAI WebSearch MCP Server provides advanced web search functionality integrated with OpenAI's latest reasoning models, such as gpt-5 and o3-series. It features full compatibility with the Model Context Protocol, enabling easy integration into AI assistants that require up-to-date information and contextual awareness. Built with flexible configuration options, smart reasoning effort controls, and support for location-based search customization. Suitable for environments such as Claude Desktop, Cursor, and automated research workflows.

• ⭐ 75
• MCP
• ConechoAI/openai-websearch-mcp

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

OpenZIM MCP Server provides structured, intelligent access to ZIM-format knowledge bases, enabling large language models to efficiently search, navigate, and understand content in offline archives. Dual operation modes allow support for both advanced and simple LLM integrations. It features smart navigation by namespace, context-aware discovery, intelligent search, and relationship mapping to optimize knowledge extraction and utilization.

• ⭐ 8
• MCP
• cameronrye/openzim-mcp

Todoist MCP Server enables integration of Claude with Todoist, allowing users to manage their tasks using natural language commands. It implements the Model Context Protocol (MCP), providing tools for creating, updating, completing, and deleting tasks through conversational input. The server supports smart search, flexible filtering, and rich task attribute handling, aiming to streamline task management with intuitive error feedback.

• ⭐ 323
• MCP
• abhiz123/todoist-mcp-server

MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.

• ⭐ 196
• MCP
• zilliztech/mcp-server-milvus