pulsemcp verified Safe content atomic mcp-remote

Tavily Search

This Tavily Search MCP server, developed by Alexandros Pappas, integrates the Tavily Search API into the Model Context Protocol framework. Built with TypeScript and leveraging Express.js, it provides a streamlined interface for AI models to perform web searches using Tavily's advanced search capabilities. The implementation supports both stdio and Server-Sent Events (SSE) communication methods, making it versatile for different deployment scenarios. It's particularly useful for enhancing AI-driven applications with real-time, high-quality web search results, enabling use cases like fact-checking, research assistance, or content generation that requires up-to-date information from the internet.

Cognium trust score
95%
Tier
Verified

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
devops-ci
Source
PulseMCP
Author type
human
Last scanned
2026-09-28
Updated
2026-09-28
View source Find related skills

Use via MCP

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.

Search SkillsRegistry