Tavily Search
This Tavily MCP server, developed by the Tavily MCP Server Contributors, integrates Tavily's AI-powered search capabilities into MCP-compatible workflows. Built with TypeScript and leveraging the @modelcontextprotocol/sdk, it provides a streamlined interface for performing web searches through Claude Desktop and other MCP clients. The implementation offers both basic and advanced search depths, result caching, and persistent storage of search history. It stands out by providing AI-generated summaries alongside traditional search results. This server is particularly useful for AI assistants and developers looking to incorporate up-to-date web information into their applications, enabling natural language-driven research and information retrieval.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/it-beard/tavily-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Tavily Search from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.