
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

spences10/mcp-tavily-search
An MCP server that integrates Tavily's search API with LLMs, providing web search optimized for factual results, including context generation for RAG and direct question answering.
npx -y mcp-tavily-search{
"mcpServers": {
"mcp-tavily-search": {
"command": "npx",
"args": [
"-y",
"mcp-tavily-search"
],
"env": {
"TAVILY_API_KEY": "<TAVILY_API_KEY>"
}
}
}
}TAVILY_API_KEYAdvanced web search capabilities through Tavily API
AI-generated summaries of search results
Domain filtering for higher quality results
Configurable search depth and parameters
Context generation for RAG applications
Direct question answering capabilities
Response caching with TTL support
Multiple response formats (text, JSON, markdown)
Structured result formatting optimized for LLMs
Built on the Model Context Protocol
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

microsoft/playwright
Playwright is a framework for web automation and testing. It drives Chromium, Firefox, and WebKit with a single API — in your tests, in your scripts, and as a tool for AI agents.

yamadashy/repomix
Repomix is a tool that packs a codebase into an AI-friendly format, supporting local and remote repository processing and providing code compression, security checks and multiple output formats.

bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).

ahujasid/blender-mcp
formerly blender-mcp — the PyPI package is now mcp-for-blender. Existing setups keep working; no config change is required. Read more.

microsoft/playwright-mcp
A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

comet-ml/opik
Opik is the open-source LLM observability and evaluation platform for AI agent tracing, LLM evaluation, prompt management, and production monitoring. Built by Comet. Apache-2.0 licensed, free to self-host the full platform, with 20,000+ GitHub stars.