Agrobr MCP
MCP server for Brazilian agricultural data — connect LLMs to 10 public data sources via agrobr
Is Agrobr MCP safe? Thin or incomplete trust evidence. Review carefully before production use.
Compare Agrobr MCP
How does it stack up against its MCP Servers neighbours?
Pick any agent to compare →In detail: Agrobr MCP scores 46.5/100 (Grade D), ranked #1030 of 1325 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: its packages ship with cryptographic provenance; OSSF Scorecard rates its supply-chain practices 3.4/10; 58% of recent commits are signed; last pushed 2026-03-12. Every point is earned from checkable signals — never paid placement. How scoring works →
How Agrobr MCP compares in MCP Servers
- #602 Funplay Godot MCP 46.8 +0.3
- #603 Scrapegraph MCP 46.8 +0.3
- #604 Agrobr MCP 46.5 this agent
- #605 Devcontainer MCP 46.4 −0.1
- #606 Synter Media AI MCP Server 46.1 −0.4
Bars show each HVTrust score; the tick marks Agrobr MCP’s 46.5.
Where the 46.5 comes from
HVTrust dimensions vs the MCP Servers average
46.5 / 100 · 100.0% confidenceAgrobr MCP MCP Servers average (775 agents)
Quick Trust Read
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 B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
13.1 / 100Supply Chain Trust
Common questions about Agrobr MCP
Does Agrobr MCP publish package provenance?
Does Agrobr MCP have an OpenSSF Scorecard?
Is Agrobr MCP actively maintained?
What license does Agrobr MCP use?
Are Agrobr MCP's commits signed?
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.
AI agent surface
MCP, providers, tool surface
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 signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to Agrobr MCP's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.
Maintain Agrobr MCP?
For maintainers
HVTrust scores Agrobr 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
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/agrobr-mcp)
<a href="https://hvtracker.net/agents/agrobr-mcp"><img src="https://hvtracker.net/badge/agrobr-mcp.svg" alt="HVTrust"></a>
Other agents in MCP Servers
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON