mcp server
AgentTrust
Quality verification for AI agents and MCP servers. 6-axis scoring, adversarial probes.
Description as published by the maintainer. Source
- version 0.1.2
- slowing
- evaluation
slowing — Most recent push to the repository was 2026-04-27. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-04-27 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.1.2 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-03-16 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-03-16 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
io.github.davidmosiah/mcp-scorecard
— last commit 2026-08-06, shares quality
Agent-readiness scorecard for any MCP server: 10 checks, 0-100 score, actionable findings.
-
io.github.ahmedEid1/forgejudge
— last commit 2026-07-25, shares evaluation
Open eval leaderboard + CI gate for autonomous coding agents (solve, score, trace).
-
io.github.archonics/mcp-audit
— last commit 2026-05-14, shares evaluation
Free context-engineering audits for AI agents. BYOK Anthropic key. Top-3 findings per scan.
-
io.github.botzrDev/dreamd
— last commit 2026-08-05, shares evaluation
Local-first, cross-harness memory for AI coding agents.
-
io.github.cyanheads/evals-mcp-server
— last commit 2026-07-30, shares evaluation
Author verifiable eval records through a draft→review→revise→submit loop with enforced graders.
-
DOS — the trust substrate for agent fleets
— last commit 2026-07-17, shares trust, verification
Verify what agents actually shipped, arbitrate file collisions, refuse with structured reasons.
-
AgentTrust — Identity & Trust for A2A Agents
— last commit 2026-04-09, shares trust
Identity, trust, and A2A orchestration for autonomous AI agents. Official A2A partner.
-
com.babyblueviper/invinoveritas
— last commit 2026-08-05, shares verification
AI-agent verifier: verdict committed before the outcome graded against it; /review, /ledger.
-
Fidensa
— last commit 2026-04-01, shares trust
Independent AI certification authority. Trust scores, search, comparison, and verification.
-
com.fronesislabs/dcl-trust-oracle
— last commit 2026-08-06, shares trust
Deterministic AI audit layer for LLM/agent outputs: policy checks, tamper-evident log, x402.
These share tags the maintainers applied themselves, such as quality, evaluation, trust, verification. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai-agents, evaluation, mcp, mcp-server, quality, trust, verification, w3c-vc.
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