mcp server

io.github.bch1212/modelwatch

Continuous behavioral drift monitoring for LLM apps — catches silent provider model updates.

Description as published by the maintainer. Source

version 0.1.1
active

active — Most recent push to the repository was 2026-08-03.

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	2026-08-06	GitHub
Last commit	2026-08-03	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	2026-08-06	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	2026-08-06	GitHub
Latest published version	0.1.1	Latest version string the maintainer published to the registry.	as of fetch	2026-05-09	Model Context Protocol
Registry record last updated	2026-05-09	When the registry record was last updated by its maintainer.	point in time	2026-05-09	Model Context Protocol
First listed in the MCP Registry	2026-05-09	Date this server was first published to the official MCP Registry. Not a usage or quality measure.	point in time	2026-05-09	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	2026-08-06	GitHub

Where to get it

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These share tags the maintainers applied themselves, such as drift-detection, observability. 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.

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How the author describes it

Topics the maintainer set on GitHub: ai-agents, anthropic, claude, drift-detection, llm, llm-monitoring, mcp, mcp-server, model-context-protocol, observability, typescript.

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