Advertise
MCP.so
Sign In
K

Knowerage MCP Server

@MTimma

Repository

Basic information

Category

Other

Transports

stdio

Author

MTimma

Submitted by

Martins Timma

About Knowerage MCP Server

Local MCP server that allows your agent to track documentation coverage over code repository.

Knowerage MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "knowerage": {
      "command": "npx",
      "args": [
        "@mtimma/knowerage"
      ],
      "env": {
        "KNOWERAGE_WORKSPACE_ROOT": "${workspaceFolder}",
        "KNOWERAGE_AUTO_FULL_RECONCILE": "true"
      }
    }
  }
}

Knowerage MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Knowerage?

Knowerage is an MCP server that manages AI analysis coverage of a codebase. It tracks which files and line ranges have been analysed by an AI assistant, storing results as markdown documents and a registry. It is intended for developers using AI coding assistants who want to measure and manage what parts of their project have been covered.

How to use Knowerage?

Register the server in your MCP host configuration using npx @mtimma/knowerage and set the KNOWERAGE_WORKSPACE_ROOT environment variable to your project root. Once configured, you talk to your AI assistant in normal sentences—for example, “analyse the logical algorithm workflow in main.java” or “what part of this codebase is not yet analysed?”. The assistant creates or updates analysis documents under knowerage/analysis/ and records coverage in knowerage/registry.json.

Key features of Knowerage

  • Create or update analysis documents with YAML frontmatter
  • Reconcile analysis records for freshness (SHA‑256 hash based)
  • Query file status: analysed vs. missing line ranges
  • List stale or problematic registry records
  • Export a coverage snapshot (JSON, YAML, TXT, or HTML)
  • Generate a bundled export of selected analyses

Use cases of Knowerage

  • Analyse a specific file, class, or algorithm and record the result
  • Get an overall coverage percentage for a project
  • Identify which parts of a codebase are not yet analysed
  • Export a coverage report for auditing or sharing
  • Detect stale analysis documents after source code changes

Frequently asked questions

1

What are the runtime requirements for Knowerage?

Node.js 18 or newer is required, and `npx` must be on your `PATH`.

2

How do I enable automatic file watching?

Set the environment variable `KNOWERAGE_AUTO_FULL_RECONCILE` to a truthy value (`1`, `true`, `yes`, or `on`). The server then watches the `knowerage/` directory and runs a short debounced full reconciliation on filesystem changes.

3

How does Knowerage avoid infinite loops from registry writes?

The file watcher ignores writes to `registry.json`, so saving the registry does not trigger another reconciliation.

4

Where does Knowerage store analysis data?

All analysis markdown files live under `knowerage/analysis/`, and the coverage registry is stored at `knowerage/registry.json` in the project root.

5

What security measures does Knowerage implement?

All file paths are validated against the workspace root; path traversal (`..`) is rejected. Registry writes use atomic file operations for crash safety. No secrets are stored in analysis files or reports.

Comments

More Other MCP servers

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K

EverArt

modelcontextprotocol

Model Context Protocol Servers

88.1K

MaxKB

1Panel-dev

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

22.0K

Blender

ahujasid

Open-source MCP to use Blender with any LLM

23.6K

Lemon.io

lemon-io

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

Advertise