Graqle runs on your own machine — the client starts it, so there is no endpoint to ping. 1 244 installs a week from pypi. Last commit 16 Sep 2026.
Graph-powered codebase reasoning, impact analysis, and governance tools over MCP.
We read the source, 20 h ago · rules 3dff92dd89df
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.
inst._model = pickle.loads(Path(path).read_bytes()) # noqa: S301
result = subprocess.run(
for gf in governance_dir.rglob("*.json"):
results.append((PASS, "Key: AWS credentials", f"~/.aws/credentials: {masked}"))
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
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.
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 mcp add graqle -- uvx graqle
{
"mcpServers": {
"graqle": {
"args": [
"graqle"
],
"command": "uvx"
}
}
}
[mcp_servers.graqle]
command = "uvx"
args = ["graqle"]
{
"mcpServers": {
"graqle": {
"args": [
"graqle"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"graqle": {
"args": [
"graqle"
],
"command": "uvx"
}
}
}
Dev intelligence layer: 7 MCP tools for graph-powered codebase reasoning.
A powerful MCP server for codebase architecture analysis and automated governance.
Local-first code intelligence MCP: symbol graph, impact analysis, 60+ tools.
Go code coverage analysis tool with MCP server for AI-powered coverage workflows
Go code coverage analysis tool with MCP server for AI-powered coverage workflows
Codebase graphs, caller impact analysis, and recorded project context for AI coding agents.
AST-based semantic code search: 39 tools over 37 languages. Call tracing and impact analysis.
AI-powered codebase analysis — call graphs, security, dead code, complexity. 150+ tools.
Answers built from our own checks of this server.