Tavily MCP

Production ready MCP server with real-time search, extract, map & crawl.

MCP Servers JavaScript Grade D Listed MIT
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Listing state
Listed
HVTrust
37.5/100 · Grade D
Evidence coverage
Grade C · 2/5 signals
Last push
2026-07-10 · 5d ago
Recent change
New

Is Tavily MCP safe? Tavily MCP scores 37.5/100 (Grade D), ranked #350 of 417 tracked open-source AI agent projects, on evidence coverage C (2 of 5 independent signal types). The public evidence: no package-provenance attestation found; no OSSF Scorecard result yet; 64% of recent commits are signed; last pushed 2026-07-10. Every point is earned from checkable signals — never paid placement. How scoring works →

Quick Trust Read

Verdict
Thin or incomplete trust evidence. Review carefully before production use.
37.5/100 · Grade D
Strongest Signal
Adoption
14.1/20
Weakest Signal
Safety / Integrity
3.2/25
What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-07-14
Newly Listed
First tracked at rank #350
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
66.4
Activity Score · out of 100
37.5
HVTrust Score · out of 100
#350
Global Rank · of 417
#27

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage C is separate — it grades how many independent signal types back the score (2 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-07-15 01:30 UTC · Repo last pushed 5 days ago

Rank Trend

2026-07-14 2026-07-15

Activity & Reach

Stars
2.2k
Forks
282
Last Push
2026-07-10
5 days ago
Commits (4 wk)
6?
Downloads (7d)
35,945
npm
HN mentions (30d)
Open Issues
30
Rank Change
=
was #350

Analysis

HVTrust Dimensions

37.5 / 100 · 67.0% confidence
Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
3.2 / 25
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
Maintenance60% last-push freshness · 40% commit activity
13.4 / 20
Adoption60% stars · 40% downloads, log-scaled
14.1 / 20

Activity Inputs

66.4 / 100
StarsRepository reach
20.1 / 30
FreshnessLast push recency
24.3 / 25
ActivityRecent commits
10.5 / 25
CommunityFork signal
11.4 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
Not available
Signed Commits
64%
of last 100 commits verified

Is Tavily MCP safe?

Public trust evidence for Tavily MCP is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.
Does Tavily MCP publish package provenance?
No published build provenance is currently detected for Tavily MCP. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does Tavily MCP have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for Tavily MCP. Maintainers can enable the Scorecard GitHub Action to get a public score; without it, automated supply-chain hygiene is harder for outsiders to verify.
Is Tavily MCP actively maintained?
Actively maintained. The repository was pushed to within the last 5 day(s).
What license does Tavily MCP use?
Tavily MCP ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Tavily MCP's commits signed?
64% of the last 100 commits to Tavily MCP are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

Ranked neighbours in MCP Servers

AI agent surface

Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support
high confidence
Implemented
Tavily MCP appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
2 detected
Public provider/service dependencies detected.
Credential signal: API keys or service config markers documented.
Tool / Plugin Surface
high confidence
1 tags
Broad capability areas detected.
  • search
Detailed evidence is not shown in the public view.
Package Provenance Drift
high confidence
Match
Published package metadata matches the tracked repo
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live

Maintain Tavily MCP?

HVTrust scores Tavily MCP from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Reputation Timeline

Listed 1
2026-07-14
Newly Listed
First tracked at rank #350

Embed Badge Badge guide for maintainers →

HVTrust 37.5 Grade D
Markdown:
[![HVTrust](https://hvtracker.net/badge/tavily-mcp.svg)](https://hvtracker.net/agents/tavily-mcp)
HTML:
<a href="https://hvtracker.net/agents/tavily-mcp"><img src="https://hvtracker.net/badge/tavily-mcp.svg" alt="HVTrust"></a>

Other agents in MCP Servers

Data sources
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.2 · Raw JSON