Discover and integrate MCP servers tagged with search
54 search MCP Servers Available
Integrate Brave Search capabilities into Claude through MCP. Enables real-time web searches with privacy-focused results and comprehensive web coverage.
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP interface.
A Model Context Protocol (MCP) server that provide search by tavily.
A long-term memory storage system for LLMs using the Model Context Protocol (MCP) standard. This system helps LLMs remember the context of work done over the entire history of a project, even across multiple sessions. It uses semantic search with embeddings to provide relevant context from past interactions and development decisions.
A powerful Model Context Protocol server for LinkedIn interactions that enables AI assistants to search for jobs, generate resumes and cover letters, and manage job applications programmatically.
A NL2SQL plugin based on FocusSearch keyword parsing, offering greater accuracy, higher speed, and more reliability!
Baidu Search MCP Server I A Model Context Protocol (MCP) server that provides web search capabilities through Baidu, with additional features for content fetching and parsing.
Deep Research MCP is an intelligent research assistant built on the Model Context Protocol (MCP) that performs comprehensive, multi-step research on any topic.
A Model Context Protocol (MCP) server that enables AI assistants to perform web searches using SearXNG, a privacy-respecting metasearch engine.
A MCP server that allows you to search and retrieve content on any wiki site using MediaWiki with LLMs 🤖 wikipedia.org, fandom.com, wiki.gg and more sites using Mediawiki are supported!
Model Context Protocol (MCP) PRIDE API Server implementation.
mcp-censys is a MCP server that taps into the Censys Search API for real-time domain, IP, and FQDN reconnaissance
A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
A powerful MCP server for Google search that enables parallel searching with multiple keywords simultaneously.
MCP server for Naver Search API integration. Provides comprehensive search capabilities across Naver services (web, news, blog, shopping, etc) and data trend analysis tools via DataLab API.
MCP Server implementation for the Model Context Protocol (MCP) enabling AI tool usage - Realtime Flight Search
Elasticsearch MCP server with available features including mappings management, search and indexing, and index management etc.
A Model Context Protocol (MCP) server for searching barnsworthburning.net.
A Model Context Protocol (MCP) server providing access to Google Search Console
MCP server for interacting with Apache Iceberg catalog from Claude, enabling data lake discovery and metadata search through a LLM prompt.
Zotero MCP: Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol to discuss papers, get summaries, analyze citations, and more.
Unblock, scrape, and search tools for MCP clients
PhonePi MCP enables seamless integration between desktop AI tools and your smartphone, providing 23+ direct actions including SMS messaging, phone calls, contact management, snippet creation and search, clipboard sharing, notifications, battery status checks, and remote device controls.
MCP Server for the GitHub Enterprise APIs, enabling file operations, repository management, search functionality, and more.
A Model Context Protocol (MCP) server that connects Claude and other AI assistants to your Roam Research graph.
A Model Context Protocol server for Chess.com's Published Data API. This provides access to Chess.com player data, game records, and other public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information.
[Self-hosted] A Model Context Protocol (MCP) server implementation that provides a web search capability over stdio transport. This server integrates with a WebSearch Crawler API to retrieve search results.
An MCP server to read MCP logs to debug directly inside the client
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
A connector for Claude Desktop to read and search an Obsidian vault.
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.
