ZBS Index What actually exists in applied AI, with the source next to it

mcp server

Repowise

Codebase intelligence for AI coding agents — graph, git history, docs, decisions, code health.

Description as published by the maintainer. Source

  • version 0.17.1
  • active

active — Most recent push to the repository was 2026-08-06.

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 4,802 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 2026-08-06 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 100 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 0.17.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-06-07 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License AGPL-3.0 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 2026-06-07 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.andypgray/roz-mcp — last commit 2026-08-04, shares refactoring
    Roslyn-powered C# code navigation, blast-radius analysis, and verified edits for coding agents.
  • io.github.atef-ataya/depwire — last commit 2026-07-21, shares dead-code
    Dependency graph + 23 MCP tools. Impact analysis, simulation, security, agent coordination
  • io.github.blackwell-systems/agent-lsp — last commit 2026-08-06, shares code-intelligence, code-quality, static-analysis
    Orchestrates language servers into 65 code-intelligence tools across 30 languages, token-optimized.
  • io.github.Alberto-Codes/docvet — last commit 2026-08-04, shares code-quality, documentation, static-analysis
    Docstring quality vetting for Python -- enrichment, freshness, coverage, and presence checks
  • io.github.abhinavteja123/codemore — last commit 2026-07-18, shares code-quality, static-analysis
    The static analyzer your AI agent reads — fix-ready, machine-readable scan reports over MCP.
  • Cejel — last commit 2026-08-06, shares code-quality, static-analysis
    Offline deterministic engineering-trust certificates for repositories, with no telemetry.
  • io.github.doazvjettu/leakguard-mcp — last commit 2026-06-13, shares code-quality, static-analysis
    Static analyzer flagging lookahead bias & data leakage in ML/trading code before backtest.
  • Verificate MCP — last commit 2026-08-05, shares code-quality
    Agentic code review, no signup to try: reality gates + frontier-model review, with veto.
  • LiveCheck AI — last commit 2026-07-30, shares code-quality
    Secure MCP runtime server for scanning and autofixing code issues
  • coldstart — last commit 2026-08-06, shares code-intelligence, static-analysis
    Codebase memory for AI agents: an AST index plus agent-written notes that self-stale.

These share tags the maintainers applied themselves, such as refactoring, dead-code, code-intelligence, code-quality. 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, code-complexity, code-health, code-intelligence, code-quality, dead-code, developer-tools, documentation, git-analytics, mcp, open-source, python, refactoring, static-analysis, technical-debt.

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Sources

  1. repowise-dev/repowise on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.