Tavily
This Tavily MCP Server, developed by tulong66, enhances web search capabilities for AI assistants by integrating Tavily's search API with HTTP/HTTPS proxy support. Built using Python and the MCP framework, it offers tools for comprehensive web searches, direct answer generation, and recent news retrieval. The server's standout feature is its proxy configuration support, enabling searches through specified proxy servers. This implementation is particularly valuable for scenarios requiring web search capabilities in restricted network environments or when additional privacy layers are needed. It's well-suited for AI researchers, developers working on information retrieval systems, and applications needing robust, proxy-enabled web search functionalities.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
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- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/tulong66/mcp-tavily-proxy
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Tavily 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.