Tavily MCP
MCP server for advanced web search using Tavily
Connector by tavily-aiOfficial · GitHub account verified by the MCP Registry
Chalk Labs
Need help deploying Tavily MCP?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/tavily-ai-tavily-mcp
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: web-search, deep-research, web-scraping
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 3 read · 1 write · 0 delete · 2 not yet classified
- Secrets
- 1 (API keys, tokens or passwords)
- Install scripts
- None found
- Runs as
- Node.js package
Tools by what they do 6
Read from the source code; the running server may list different tools.
Read 3 · Look things up without changing anything.
tavily_extracttavily_researchtavily_search
Write 1 · Create, change, send or run things.
tavily_feedback
Not yet classified 2 · We could not tell from the name and description.
tavily_crawltavily_map
Secrets and settings it asks for
Secrets: values you paste in that let it act as you.
TAVILY_API_KEY
Other settings (environment variables or headers).
DEFAULT_PARAMETERS
Tools (6)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
tavily_crawlCrawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
tavily_extractExtract content from URLs. Returns raw page content in markdown or text format.
tavily_feedbackSubmit feedback for a search request or session via POST /feedback. Maximize useful signal whenever you call this tool: 1) Scope: set request_id from the search response (and/or session_id). 2) Per-result urls_scores first — MANDATORY when scoring a search: include an entry for EVERY result in the search response, HELPFUL and WEAK/IRRELEVANT/HARMFUL alike, by id (1 perfect … 0 irrelevant … -1 harmful). Vary scores honestly; do not reuse one default value. Never submit an agent_score with empty urls_scores. 3) Overall agent_score: derive from those urls_scores (and whether you could answer well…
tavily_mapMap a website's structure. Returns a list of URLs found starting from the base URL.
tavily_researchPerform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings. Rate limit: 20 requests per minute.
tavily_searchSearch the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
Compare and alternatives
Featured in
Signals
- Stars
- 2,454
- Forks
- 305
- Open issues
- 40
- Contributors
- 21
- Last commit
- Oct 15, 2026 (15 days ago)
- Last release
- Jan 26, 2026 (9 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Registry name
io.github.tavily-ai/tavily-mcp- Version
- 0.2.15
- Auth
- API key
- Packages
- npm tavily-mcp
- License
- MIT
- Repository
- github.com/tavily-ai/tavily-mcp
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Same server elsewhere
Copies of this server published by others; search shows only one of them.
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get Tavily MCP running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
Tavily MCP. Agent Mart. https://agentmart.dev/connectors/tavily-ai-tavily-mcp (last updated 2026-10-24)