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Catalog › io.github.donggyun112/codecanvas

Is codecanvas reliable?

Not measured yet codecanvas runs locally (installed package), so Faceabot cannot measure it over the network.

En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Python code intelligence for coding agents: call paths, control flow, and change impact.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.20 · publisher website
Connect your agent
{
  "mcpServers": {
    "codecanvas": {
      "command": "uvx",
      "args": [
        "codecanvas-mcp"
      ]
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.donggyun112/codecanvas"} on https://faceabot.com/api/mcp.
Does it actually do the job?

— Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Faceabot measurements

No measurement yet.

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

More from the same publisher

keymem Not measured yet

Associative key-graph memory for LLM agents — recall by association, not vector similarity.

Package npm : keymem · website · measurements and details

Find tools similar to codecanvas →

Publisher of codecanvas?

Show your measured reliability on your README or website:

Faceabot reliability badge for codecanvas

[![Measured by Faceabot](https://faceabot.com/badge/io.github.donggyun112/codecanvas.svg)](https://faceabot.com/tools/io.github.donggyun112/codecanvas)
Data in JSON: /api/catalog?id=io.github.donggyun112/codecanvas · Stop probes: POST /api/reliability/opt-out

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