Is Runapi Ai MCP safe to use?

Runapi Ai MCP has an HVTrust score of 54.4/100 (Grade C), ranked #768 of 1328 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for Runapi Ai MCP?

Runapi Ai MCP scores 54.4/100 on HVTracker's evidence-weighted HVTrust scale. It has 55 GitHub stars and is categorized under MCP Servers.

Runapi Ai MCP

runapi-ai/mcp

RunAPI MCP server for model discovery, pricing lookup, media task creation, and balance checks.

MCP Servers TypeScript Grade C Listed Apache-2.0

54.4/100

Rank #768 of 1328

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Thin or incomplete trust evidence. Review carefully before production use.

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Listing state

Listed

Evidence coverage

Grade B · 3/5 signals

Last push

2026-09-07 · 1d ago

Recent change

Grade Changed +8

Is Runapi Ai MCP safe? Runapi Ai MCP scores 54.4/100 (Grade C), ranked #768 of 1328 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 4.3/10; recent commits are unsigned; last pushed 2026-09-07. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in MCP Servers

#416 Companies House MCP — 54.5 (C) → #417 Mistral MCP — 54.4 (C) → #419 Taskade MCP — 54.4 (C) → #420 Cr7258 Elasticsearch MCP Server — 54.4 (C) →

Quick Trust Read

What Would Improve It

Publish package provenance or release attestations for stronger supply-chain evidence.

Recent Changes

2026-09-07

Grade Changed

Trust grade D → C

2026-09-07

Rank Moved

Rank rose 421 spots (#1181 → #760)

2026-09-07

HVTrust Changed

HVTrust up 18.9pts (35.6 → 54.5)

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 4.3/10. Tighten the weakest checks to improve public safety evidence.

Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.

Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.

Compare with another agent Get email alerts for Runapi Ai MCP View MCP Servers Report missing data

47.3

Activity sub-score · out of 100

#418

In MCP Servers

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

2026-08-11 2026-09-08

Activity & Reach

Stars

Forks

Last Push

2026-09-07

yesterday

Commits (4 wk)

Downloads (7d)

291

npm

HN mentions (30d)

—

Open Issues

Rank Change

▼8

was #760

Analysis

HVTrust Dimensions vs MCP Servers

54.4 / 100 · 100.0% confidence

Runapi Ai MCP MCP Servers average (778 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits

5.4 / 25

4.5 below avg 9.9

Identity / Provenance60% listing status · 40% build provenance

10.8 / 18

2.6 below avg 13.4

Transparency50% declared license · 50% OSSF Scorecard

12.2 / 17

in line with avg 12.0

Maintenance60% last-push freshness · 40% commit activity

13.8 / 20

1.6 above avg 12.2

AdoptionLog-scaled stars · package downloads

7.5 / 20

0.6 above avg 6.9

Activity Inputs

47.3 / 100

StarsRepository reach

10.5 / 30

FreshnessLast push recency

24.9 / 25

ActivityRecent commits

11.9 / 25

CommunityFork signal

0.0 / 20

Supply Chain Trust

Package Provenance

None

No package attestations found

OSSF Scorecard

4.3 / 10

OpenSSF Scorecard · scanned Sep 6, 2026

Signed Commits

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 0

CI-Tests -1

CII-Best-Practices 0

Code-Review 0

Contributors 3

Dangerous-Workflow 10

Dependency-Update-Tool 0

Fuzzing 0

License 10

Maintained 10

Packaging -1

Pinned-Dependencies 6

SAST 0

Security-Policy 0

Signed-Releases -1

Token-Permissions 10

Vulnerabilities 0

Is Runapi Ai MCP safe?

Public trust evidence for Runapi Ai 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 Runapi Ai MCP publish package provenance?

No published build provenance is currently detected for Runapi Ai 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 Runapi Ai MCP have an OpenSSF Scorecard?

Runapi Ai MCP has an OpenSSF Scorecard score of 4.3/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.

Is Runapi Ai MCP actively maintained?

Actively maintained. The repository was pushed to within the last 1 day(s).

What license does Runapi Ai MCP use?

Runapi Ai MCP ships under Apache-2.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

Are Runapi Ai MCP's commits signed?

0% of the last 100 commits to Runapi Ai 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

Runapi Ai MCP appears to expose MCP server capabilities.

Detailed evidence is not shown in the public view.

External Service Dependencies

high confidence

1 detected

Public provider/service dependencies detected.

Anthropic

Credential signal: API keys or service config markers documented.

Tool / Plugin Surface

high 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 Runapi Ai MCP?

For maintainers

HVTrust scores Runapi Ai 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.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history

2026-09-07

Grade Changed

Trust grade D → C

2026-09-07

Rank Moved

Rank rose 421 spots (#1181 → #760)

2026-09-07

HVTrust Changed

HVTrust up 18.9pts (35.6 → 54.5)

2026-09-06

Rank Moved

Rank rose 10 spots (#1191 → #1181)

2026-09-05

Rank Moved

Rank dropped 36 spots (#1155 → #1191)

2026-09-04

Rank Moved

Rank dropped 31 spots (#1124 → #1155)

2026-09-03

Rank Moved

Rank dropped 53 spots (#1071 → #1124)

2026-09-02

Rank Moved

Rank dropped 43 spots (#1028 → #1071)

2026-09-01

Rank Moved

Rank dropped 43 spots (#985 → #1028)

2026-08-31

Scorecard Added

OSSF Scorecard: 3.5/10

2026-08-31

Rank Moved

Rank rose 218 spots (#1203 → #985)

2026-08-31

HVTrust Changed

HVTrust up 15.3pts (20.4 → 35.7)

2026-08-30

Rank Moved

Rank dropped 22 spots (#1181 → #1203)

2026-08-29

Rank Moved

Rank dropped 26 spots (#1155 → #1181)

2026-08-28

Rank Moved

Rank dropped 23 spots (#1132 → #1155)

2026-08-27

Rank Moved

Rank dropped 25 spots (#1107 → #1132)

2026-08-26

Rank Moved

Rank dropped 68 spots (#1039 → #1107)

2026-08-25

Rank Moved

Rank rose 12 spots (#1051 → #1039)

2026-08-24

Rank Moved

Rank dropped 11 spots (#1040 → #1051)

2026-08-17

Rank Moved

Rank rose 14 spots (#1048 → #1034)

2026-08-16

Rank Moved

Rank dropped 32 spots (#1016 → #1048)

2026-08-12

Rank Moved

Rank rose 16 spots (#1024 → #1008)

2026-08-10

Rank Moved

Rank dropped 54 spots (#968 → #1022)

2026-08-08

Newly Listed

First tracked at rank #964

GitHub → npm: @runapi.ai/mcp

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Other agents in MCP Servers

Data sources
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON