Kivgraph

Cross-repository semantic code intelligence for AI coding agents, from a local code graph.

What does this entry provide?

Kivgraph is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 51/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. No automated install command is listed; check the repository for manual setup instructions. Review the last-pushed date and repository status before adding Kivgraph to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 51/100
Install method: manual
Repo: Luqueee/kivgraph
Repo updated: Sep 5, 2026

Install command

See source docs

Install method: manual

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Sep 5, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-09-05T16:07:53.479067Z",
      "publishedAt": "2026-09-05T16:07:53.479067Z",
      "statusChangedAt": "2026-09-05T16:07:53.479067Z"
    }
  },
  "server": {
    "name": "io.github.Luqueee/kivgraph",
    "title": "Kivgraph",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.9.10",
    "packages": [
      {
        "version": "0.9.10",
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "38ed54460d852593e411cbe895d78ab6238a3cacf823d0ec05bffef4015e4d8c",
        "identifier": "https://github.com/Luqueee/kivgraph/releases/download/v0.9.10/kivgraph-linux-amd64.mcpb",
        "registryType": "mcpb"
      },
      {
        "version": "0.9.10",
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "ec17987d6fe4e9d91dd9580dabd31bc95c45132a5c6107736863cfab80a69b2b",
        "identifier": "https://github.com/Luqueee/kivgraph/releases/download/v0.9.10/kivgraph-darwin-arm64.mcpb",
        "registryType": "mcpb"
      },
      {
        "version": "0.9.10",
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "f7618aea9beb214e21dffb9b7e4da66b2b03f2cc65e4777ea7642d2d6ad7a7cb",
        "identifier": "https://github.com/Luqueee/kivgraph/releases/download/v0.9.10/kivgraph-windows-amd64.mcpb",
        "registryType": "mcpb"
      }
    ],
    "repository": {
      "url": "https://github.com/Luqueee/kivgraph",
      "source": "github"
    },
    "websiteUrl": "https://kivgraph.dev",
    "description": "Cross-repository semantic code intelligence for AI coding agents, from a local code graph."
  }
}

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