mcp server
Model Ledger
Model inventory and governance: trace deployed models and their dependencies as an append-only log
Description as published by the maintainer. Source
- version 0.7.13
- active
active — Most recent push to the repository was 2026-07-25.
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 | 13 | 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 | 2026-07-25 | 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 | 1 | 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 | 0.7.13 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-21 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | Apache-2.0 | 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 | 2026-07-21 | 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
-
TrainTools
— last commit 2026-07-22, shares mlops
Recommend paper-backed diagnostics for PyTorch and Hugging Face training problems.
-
io.github.CogitatorTech/omni-nli
— last commit 2026-02-23, shares mlops
An MCP server for natural language inference
-
io.github.frozo-ai/edgegate-mcp
— last commit 2026-08-05, shares mlops
Regression-test AI models on real Snapdragon and Jetson hardware, with signed evidence for CI.
-
io.github.habedi/omni-lpr
— last commit 2026-07-05, shares mlops
An MCP server for automatic license plate recognition
-
Aegis — AI Agent Governance
— last commit 2026-05-05, shares ai-safety, audit-trail
Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging.
-
ActionProof
— last commit 2026-07-01, shares ai-safety, audit-trail
Tamper-proof audit trail for AI agents. Signed receipts, offline-verifiable, zero backend.
-
io.github.dhanushs1912-svg/agent-receipts-mcp
— last commit 2026-07-17, shares audit-trail, eu-ai-act
EU AI Act-ready audit trail: signed, tamper-evident receipts proving what your AI agents did.
-
io.github.DingDawg-dev/dingdawg-compliance
— last commit 2026-05-26, shares audit-trail, eu-ai-act
EU AI Act + Colorado AI Act compliance scoring. 87/100 in 60 seconds. Free local scan.
-
io.github.dingdawg/dingdawg-code-review
— last commit 2026-08-05, shares audit-trail, eu-ai-act
AI code review — security, quality, performance. Learns your patterns. Receipted.
-
io.github.dingdawg/dingdawg-compliance
— last commit 2026-05-26, shares audit-trail, eu-ai-act
EU AI Act + Colorado AI Act compliance scoring. 87/100 in 60 seconds. Free local scan.
These share tags the maintainers applied themselves, such as mlops, ai-safety, audit-trail, eu-ai-act. 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-governance, ai-safety, audit-trail, compliance, eu-ai-act, lineage, mcp, mcp-server, mlops, model-context-protocol, model-governance, model-inventory, model-risk, python, sr-11-7.
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json