pulsemcp Safe content atomic mcp-remote

Tavily Search

This MCP server for Tavily search, developed by Scott Spence, provides an interface for AI assistants to leverage Tavily's semantic search capabilities. Built with TypeScript and the Model Context Protocol SDK, it enables AI models to perform web searches and retrieve relevant results. The implementation focuses on simplifying integration with Tavily's API, making it accessible for AI systems to incorporate up-to-date web information. It's useful for tasks like fact-checking, research assistance, or enhancing AI responses with current data, allowing models to access web search functionality without deep knowledge of the underlying search engine complexities.

Cognium trust score

50%

Tier

Unverified

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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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: productivity
Source: PulseMCP
Repository: github.com/spences10/mcp-tavily-search
Author type: human
Updated: 2026-04-25

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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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"