Discover and integrate search MCP servers to extend Claude's capabilities
7 search MCP Servers Available
Tools for seamless integration of different systems and services.
Cloud infrastructure and deployment management tools.
AI-powered tools for creative design workflows across 3D and 2D mediums.
AI-powered tools for product development, design review, and performance monitoring.
Tools for monitoring, analytics, and operational efficiency.
Integrate Brave Search capabilities into Claude through MCP. Enables real-time web searches with privacy-focused results and comprehensive web coverage.
Interact & query with Meilisearch (Full-text & semantic search API)
Production-ready RAG out of the box to search and retrieve data from your own documents.
Implement semantic memory layer on top of the Qdrant vector search engine
Search engine for AI agents (search + extract) powered by Tavily
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
