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@prof-bilal/atlas-mcp

v0.5.1

Published

Model Context Protocol (MCP) server exposing CodeAtlas context to external AI tools.

Readme

@prof-bilal/atlas-mcp

A Model Context Protocol (MCP) server that exposes a project's CodeAtlas context to external AI tools (Claude Desktop, Cursor, VS Code, and any other MCP client) over stdio.

It consumes only @prof-bilal/atlas-sdk (per the dependency rules) and is provider-independent: search, dependencies, module explanation, and project overview are deterministic reads of the persisted .codeatlas/context.db; AI summary generation is opt-in per call and goes through whatever provider is wired into the SDK.

Tools

| Tool | Purpose | | --- | --- | | search_symbols | Ranked, fuzzy search over indexed symbols | | search_files | Ranked, fuzzy search over indexed files (path + content) | | get_summary | Read a stored file/folder/module/project summary (or generate one) | | get_dependencies | Dependency edges from the graph (by node / relation / direction) | | explain_module | What a folder/package contains: files, symbols, dependencies, summary | | project_overview | Project counts, language breakdown, and stored project summary |

Full documentation for every tool (inputs, outputs, examples) lives in docs/reference/MCP.md.

Running

The package ships a codeatlas-mcp binary:

codeatlas-mcp

It serves the index found at <root>/.codeatlas/context.db, where <root> is resolved in this order:

  1. the ATLAS_DB env var → the database file directly.
  2. the ATLAS_ROOT env var → <root>/.codeatlas/context.db.
  3. the current working directory → ./.codeatlas/context.db.

Example client config (Claude Desktop / generic MCP client):

{
  "mcpServers": {
    "codeatlas": {
      "command": "codeatlas-mcp",
      "env": { "ATLAS_ROOT": "/path/to/your/project" }
    }
  }
}

Logs go to stderr only (stdout is the MCP protocol channel). Set ATLAS_MCP_LOG_LEVEL to debug for verbose output.

Programmatic use

import { createMcpServer, startStdioServer } from "@prof-bilal/atlas-mcp";

// Create a server bound to a project root, then attach any transport:
const mcp = createMcpServer({ root: "/path/to/project" });
await mcp.connect(someTransport);

// Or start the stdio server directly:
await startStdioServer({ root: "/path/to/project" });

Status

Implemented as part of the MCP task (see docs/CURRENT_STATE.md).