Lachesis MCP Server

by unboundcompute Your server? Claim it

local only

Lachesis runs on your own machine — the client starts it, so there is no endpoint to ping. 416 installs a week from pypi. Last commit 7 Sep 2026.

Compiler-precise code property graph for C, Python, and TypeScript, navigable over MCP.

Installs per day peak 164 · avg 49 · +19% w/w

a month agotoday

416

Installs / week

pypi · lachesis-cpg

Stars

0 open issues

7 Sep 2026

Last commit

from GitHub

AGPL-3.0

License

Python

What the code does

We read the source, 51 min ago · rules ccca72095570

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Runs a command on install [пакет] package.json:1

setup.py: выполняет код при установке пакета

Runs an external command lachesis/cli/doctor.py:44, lachesis/nav/checks.py:152, lachesis/nav/comprehension.py:217 и ещё 23

        done = subprocess.run(command, capture_output=True, text=True, timeout=10)

Runs an external command lachesis/integrations/atropos/fixtures_cslice/slice.c:16, lachesis/integrations/atropos/fixtures_interproc/slice.c:10, lachesis/integrations/atropos/fixtures_outparam/slice.c:13 и ещё 1

int     system(const char *cmd);

Builds a file path from a variable lachesis/packages.py:112, [пакет] lachesis/packages.py:112, lachesis/projections/layered.py:769 и ещё 9

    return source_dir if key == ROOT_PACKAGE_KEY else os.path.join(source_dir, key)

Dumps the whole environment [пакет] lachesis/cli/test_cache.py:34, lachesis/cli/source.py:101, lachesis/flow/native_lifetime.py:110 и ещё 2

        with tempfile.TemporaryDirectory() as cache_dir, patch.dict(
            os.environ, {"LACHESIS_EMIT_TOKENS": "1"}, clear=False

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add lachesis -- uvx lachesis-cpg

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "lachesis": {
      "args": [
        "lachesis-cpg"
      ],
      "command": "uvx"
    }
  }
}

~/.codex/config.toml

[mcp_servers.lachesis]
command = "uvx"
args = ["lachesis-cpg"]

.cursor/mcp.json

{
  "mcpServers": {
    "lachesis": {
      "args": [
        "lachesis-cpg"
      ],
      "command": "uvx"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "lachesis": {
      "args": [
        "lachesis-cpg"
      ],
      "command": "uvx"
    }
  }
}

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Lachesis — questions

Answers built from our own checks of this server.

Why is there no uptime for Lachesis?

Lachesis runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package lachesis-cpg was installed 416 times last week.

How do I connect Lachesis?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls lachesis-cpg straight from pypi; nothing to host, nothing to sign up for.

How many people use Lachesis?

The pypi package lachesis-cpg was installed 416 times in the last week. Week over week that is +19%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Lachesis open source?

Yes — it is published under the AGPL-3.0 licence, written in Python and 6 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.