Runapi Ai MCP

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

MCP Servers TypeScript Listed Apache-2.0

Is Runapi Ai MCP safe? Promising trust profile, but some evidence still deserves review.

OSSF Scorecard 5.8 / 10
Provenance None
Signed commits 1%
Last push 7d ago
Advisories None known
Compare Runapi Ai MCP
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In detail: Runapi Ai MCP scores 57.2/100 (Grade C), ranked #786 of 1374 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 5.8/10; 1% of recent commits are signed; no published advisory affects its latest release (@runapi.ai/mcp); last pushed 2026-11-03. Every point is earned from checkable signals — never paid placement. How scoring works →

How Runapi Ai MCP could raise its score

Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.

Chain of custody

Scanners check what the code says. This traces who ships Runapi Ai MCP and whether that has changed: from the source repository, through how changes are reviewed and released, to the package you install. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities.

  1. Source Partly signed

    github.com/runapi-ai/mcp, Apache-2.0, last pushed 2026-11-03. 1% of the last 100 commits carry a verified signature; the rest can't be tied to a verified identity.

  2. Review and release Mixed

    OpenSSF Scorecard rates the repository's practices 5.8/10 (scanned Nov 8, 2026). The checks that decide who can get a change released:

    • Code Review0
    • Branch Protection0
    • Signed Releasesn/a
    • Dangerous Workflow10
    • Token Permissions10
    • Pinned Dependencies6
    All 18 Scorecard checks
    Binary-Artifacts 10
    Branch-Protection 0
    CI-Tests 10
    CII-Best-Practices 0
    Code-Review 0
    Contributors 3
    Dangerous-Workflow 10
    Dependency-Update-Tool 10
    Fuzzing 0
    License 10
    Maintained 10
    Packaging -1
    Pinned-Dependencies 6
    SAST 0
    Security-Policy 10
    Signed-Releases -1
    Token-Permissions 10
    Vulnerabilities 0
  3. Published packages Linked, not attested

    • npm @runapi.ai/mcp Source link points back to this repo No build attestation

    Without a build attestation, nothing proves the published files were built from this repository.

  4. What you install today No known advisories

    Latest release checked: @runapi.ai/mcp 0.17.0. No published advisory affects it (OSV, checked 2026-11-09).

Changes to this chain

  • 2026-08-31 OSSF Scorecard: 3.5/10

Evidence behind this score

Coverage B: 3 of 5 independent evidence types found.

  • GitHub repository data
  • Package downloads
  • Supply-chain checks
  • Public actions (missing)
  • Community mentions (missing)

Verify this score yourself

Every build re-issues Runapi Ai MCP’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.

What this score doesn’t check

It covers who ships the code, not what the code does. It doesn’t read tool descriptions or prompts for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you connect it, such as Cisco MCP Scanner or Snyk Agent Scan.

How Runapi Ai MCP compares in MCP Servers

  1. #425 AEC Model Bridge 57.3 +0.1
  2. #426 Excel Vision MCP 57.3 +0.1
  3. #427 Runapi Ai MCP 57.2 this agent
  4. #428 Pyslang MCP 57.2 ±0
  5. #429 MCP Victoriametrics 57.2 ±0

Bars show each HVTrust score; the tick marks Runapi Ai MCP’s 57.2.

Where the 57.2 comes from

HVTrust dimensions vs the MCP Servers average

57.2 / 100 · 100.0% confidence

Runapi Ai MCP MCP Servers average (778 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
7.3 / 25
3.5 below avg 10.8
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
2.9 below avg 13.7
Transparency50% declared license · 50% OSSF Scorecard
13.4 / 17
1.1 above avg 12.3
Maintenance60% last-push freshness · 40% commit activity
12.9 / 20
0.7 above avg 12.2
AdoptionLog-scaled stars · package downloads
8.1 / 20
0.5 above avg 7.6

Quick Trust Read

What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-10-16
Rank Moved
Rank dropped 14 spots (#766 → #780)
2026-10-15
Rank Moved
Rank dropped 10 spots (#756 → #766)
2026-10-12
Rank Moved
Rank dropped 74 spots (#681 → #755)
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 5.8/10. 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.
43.4
Activity sub-score · out of 100
#427

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 →

Signals refreshed 2026-11-10 04:07 UTC · Repo last pushed 7 days ago

Rank Trend

2026-09-29 2026-11-10

Activity & Reach

Stars
56
Forks
0
Last Push
2026-11-03
7 days ago
Commits (4 wk)
4?
Downloads (7d)
784
npm
HN mentions (30d)
—
Open Issues
2
Rank Change
=
was #786

Analysis

Activity Inputs

43.4 / 100
StarsRepository reach
10.5 / 30
FreshnessLast push recency
24.0 / 25
ActivityRecent commits
8.7 / 25
CommunityFork signal
0.0 / 20

Common questions about Runapi Ai MCP

Runapi Ai 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 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 5.8/10. 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 7 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?
1% 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.
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
How this surface has changed

Detected changes to Runapi Ai 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.

2026-09-23
Tool Surface Changed
Detected tool/plugin surface changed: none → declared
2026-09-23
Provider Added
Runtime surface grew — new detected provider dependency: Anthropic
2026-09-23
Mcp Status Changed
Detected MCP server support changed: none → implemented

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.

Reputation Timeline

Signal history
Rank 31HVTrust 4Grade 2Scorecard 1Delisted 1Listed 1MCP 1Surface 1Surface 1
2026-10-16
Rank Moved
Rank dropped 14 spots (#766 → #780)
2026-10-15
Rank Moved
Rank dropped 10 spots (#756 → #766)
2026-10-12
Rank Moved
Rank dropped 74 spots (#681 → #755)
2026-10-09
Rank Moved
Rank dropped 31 spots (#642 → #673)
2026-10-04
Rank Moved
Rank dropped 10 spots (#626 → #636)
2026-09-30
Rank Moved
Rank rose 16 spots (#635 → #619)
2026-09-28
Rank Moved
Rank rose 85 spots (#716 → #631)
2026-09-25
Rank Moved
Rank dropped 23 spots (#686 → #709)
2026-09-24
Rank Moved
Rank dropped 65 spots (#621 → #686)
2026-09-23
Tool Surface Changed
Detected tool/plugin surface changed: none → declared
2026-09-23
Provider Added
Runtime surface grew — new detected provider dependency: Anthropic
2026-09-23
Mcp Status Changed
Detected MCP server support changed: none → implemented
2026-09-23
Grade Changed
Trust grade D → C
2026-09-23
Rank Moved
Rank rose 192 spots (#813 → #621)
2026-09-23
HVTrust Changed
HVTrust up 31.6pts (28.6 → 60.2)
2026-09-22
Newly Listed
First tracked at rank #813
2026-09-21
Removed From Active Tracking
Removed from active tracking
2026-09-17
Rank Moved
Rank rose 47 spots (#657 → #610)
2026-09-16
Rank Moved
Rank rose 113 spots (#770 → #657)
2026-09-16
HVTrust Changed
HVTrust up 3.2pts (55.2 → 58.4)
2026-09-15
Rank Moved
Rank rose 12 spots (#782 → #770)
2026-09-12
Rank Moved
Rank rose 12 spots (#791 → #779)
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)

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 57.2 Grade C
Markdown:
[![HVTrust](https://hvtracker.net/badge/runapi-ai-mcp.svg)](https://hvtracker.net/agents/runapi-ai-mcp)
HTML:
<a href="https://hvtracker.net/agents/runapi-ai-mcp"><img src="https://hvtracker.net/badge/runapi-ai-mcp.svg" alt="HVTrust"></a>

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 v4.4 · Raw JSON