Blockrun MCP

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MCP Servers TypeScript Grade B Listed MIT
71.9/100
Rank #120 of 1283
Compare Blockrun MCP

Promising trust profile, but some evidence still deserves review.

Open compare tool Suggest correction
Listing state
Listed
Evidence coverage
Grade B · 3/5 signals
Last push
2026-08-10 · 2d ago
Recent change
New

Is Blockrun MCP safe? Blockrun MCP scores 71.9/100 (Grade B), ranked #120 of 1283 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; no OSSF Scorecard result yet; 58% of recent commits are signed; last pushed 2026-08-10. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in MCP Servers

Quick Trust Read

What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-08-08
Newly Listed
First tracked at rank #105
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
70.9
Activity sub-score · out of 100
#20

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade B 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 →

Signals refreshed 2026-08-12 01:32 UTC · Repo last pushed 2 days ago

Rank Trend

2026-08-11 2026-08-12

Activity & Reach

Stars
426
Forks
47
Last Push
2026-08-10
2 days ago
Commits (4 wk)
61
Downloads (7d)
2,420
npm
HN mentions (30d)
Open Issues
1
Rank Change
▼1
was #119

Analysis

HVTrust Dimensions vs MCP Servers

71.9 / 100 · 100.0% confidence

Blockrun MCP MCP Servers average (761 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
10.4 / 25
5.4 above avg 5.0
Identity / Provenance60% listing status · 40% build provenance
18.0 / 18
4.7 above avg 13.3
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
in line with avg 8.8
Maintenance60% last-push freshness · 40% commit activity
19.0 / 20
6.6 above avg 12.4
AdoptionLog-scaled stars · package downloads
10.8 / 20
5.0 above avg 5.8

Activity Inputs

70.9 / 100
StarsRepository reach
15.8 / 30
FreshnessLast push recency
24.7 / 25
ActivityRecent commits
22.4 / 25
CommunityFork signal
7.8 / 20

Supply Chain Trust

Package Provenance
Verified
npm attestation
OSSF Scorecard
Not available
Signed Commits
58%
of last 100 commits verified

Is Blockrun MCP safe?

Blockrun MCP has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.
Does Blockrun MCP publish package provenance?
Yes. Blockrun MCP's package releases carry build provenance attestations, which cryptographically link the published package back to its source repository and CI workflow.
Does Blockrun MCP have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for Blockrun 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 Blockrun MCP actively maintained?
Actively maintained. The repository was pushed to within the last 2 day(s).
What license does Blockrun MCP use?
Blockrun MCP ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Blockrun MCP's commits signed?
57% of the last 100 commits to Blockrun 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.

AI agent surface

MCP, providers, tool 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
Blockrun 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: No explicit API-key/config marker detected.
Tool / Plugin Surface
medium confidence
Declared
Declared plugin/integration surface detected.
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 Blockrun MCP?

For maintainers

HVTrust scores Blockrun 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
Listed 1
2026-08-08
Newly Listed
First tracked at rank #105

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 71.9 Grade B
Markdown:
[![HVTrust](https://hvtracker.net/badge/blockrun-mcp.svg)](https://hvtracker.net/agents/blockrun-mcp)
HTML:
<a href="https://hvtracker.net/agents/blockrun-mcp"><img src="https://hvtracker.net/badge/blockrun-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 v4.3 · Raw JSON