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by giauphan

CodeAtlas MCP Server

Local-first MCP server for AI-powered codebase intelligence — AST analysis, dependency graphs, and semantic search. Your source code never leaves your machine.

CI Node.js Version License: MIT GitHub Release

📌 What is CodeAtlas MCP Server?

A Model Context Protocol (MCP) server that provides:

  • AST Analysis: Parse TypeScript, Python, PHP, and more.

  • Dependency Graphs: Visualize call chains and module relationships.

  • Semantic Search: Find code by meaning, not just syntax.

  • Local-First: Your code stays on your machine; no telemetry by default.

  • Cloud Optional: Connect to codeatlas-platform for dream memory, genome immune system, and skills sync.

Why Use It?

Use Case

Benefit

AI IDE Integration

Claude Desktop, Cursor, VSCode — get context-aware code intelligence.

Codebase Audits

Automate dependency analysis, security scans, and refactoring insights.

Semantic Search

Find functions, classes, or modules by intent, not just name.

Multi-Language Support

Works with TypeScript, Python, PHP, and more via AST parsers.


Related MCP server: ContextTree MCP

🏗 Architecture

AI IDE → MCP stdio/SSE → Parser (AST) → Dependency Graph → Code Search
                          │
                    codeatlas-platform (HTTP) → Dreams + Genome

Layer

Components

Parser

TypeScript, Python, PHP AST analysis

Graph

Dependency graph with chunked force layout

Search

Semantic code search with regex safety

Cloud

Optional: connect to codeatlas-platform for dreams/genome


🔧 Quick Start

1. Install

# Clone the repo
git clone https://github.com/giauphan/codeatlas-mcp-server.git
cd codeatlas-mcp-server

# Install dependencies (requires Node.js 20+)
pnpm install

2. Configure

# Copy the optional local environment template. This file is ignored by Git.
cp .env.example .env

# Edit .env
# Cloud features require both variables; no default URL is used
# Set CODEATLAS_API_URL to your CodeAtlas API base URL
# Set CODEATLAS_API_KEY to your CodeAtlas API key

3. Build

pnpm run build

4. Run

# Local-only mode (no cloud)
pnpm start

# With cloud connection (requires codeatlas-platform running)
CODEATLAS_API_URL=http://localhost:8080 CODEATLAS_API_KEY=your_api_key_here pnpm start

📡 MCP Tools (39)

Category

Tools

Code Analysis

analyze, list_projects, get_project_structure, get_insights, code_search, search_entities, get_file_entities, get_code_snippet, index_coverage, project_context

Dependencies & graphs

get_dependencies, get_callers, get_callees, impact_analysis, generate_system_flow, generate_feature_flow_diagram, trace_feature_flow

Security

scan_enterprise_vulnerabilities, detect_architectural_smells

Cloud

save_dream_memory, query_dream_memories, sync_dreams

Second Brain

brain_context, memory_bootstrap, sync_system_memory, get_system_memory, search_genome, get_gene, scan_immune_genes, save_immune_gene, setup_second_brain, check_second_brain_status

Workspace & utilities

run_script, git_changes, manage_adr, detect_code_similarities, export_team_artifact, sync_skills_inventory, route_task

Example: Connect to Claude Desktop

Add to claude-desktop-config.json:

{
  "mcpServers": {
    "codeatlas": {
      "command": "npx",
      "args": [
        "--yes",
        "--package=codeatlas-mcp-server",
        "codeatlas-mcp"
      ]
    }
  }
}

Example: Connect to Cursor/VSCode (stdio)

Add to settings.json:

{
  "mcpServers": {
    "codeatlas": {
      "command": "npx",
      "args": ["--yes", "--package=codeatlas-mcp-server", "codeatlas-mcp"]
    }
  }
}

Connect to Zed (MCP context server)

Zed has no Claude-style hooks, so the Second Brain hooks are exposed as MCP tools instead.

For Claude hook setup, safe diagnostics, rollback controls, and the explicit memory_bootstrap tool for hosts without injection hooks, see Memory pipeline operations.

Option A — automatic setup:

codeatlas-enterprise setup zed

This writes a codeatlas entry into Zed's context_servers (passing CODEATLAS_API_KEY/CODEATLAS_API_URL from your environment). Restart Zed afterward.

Option B — manual: add to Zed settings.json (open via zed: open settings file):

{
  "context_servers": {
    "codeatlas": {
      "command": "npx",
      "args": ["--yes", "--package=codeatlas-mcp-server", "codeatlas-mcp"],
      "env": {
        "CODEATLAS_API_URL": "https://api.codeatlas.ai",
        "CODEATLAS_API_KEY": "your_api_key_here"
      }
    }
  }
}

Then in Zed's Agent Panel, call the brain_context tool at the start of a task to inject Second Brain memory, and save_dream_memory after a task to persist learnings. route_task suggests a model/effort (advisory only — Zed does not auto-switch models). See Zed Integration.


🔒 Security & Environment Variables

CodeAtlas MCP Server is designed with a local-first architecture and several security hardening measures to protect your credentials and codebase data:

  • Credential Storage: Set CODEATLAS_API_KEY in the process environment to avoid storing it in a file. If you configure it in .env or an MCP client setting, the key is stored on disk; protect that file and keep it out of version control.

  • Strict Destination Validation: When connecting to cloud features, the destination AI and backend URLs are strictly validated. Credentials can only flow to trusted official domains (*.codeatlas.ai, opencode.ai) or local addresses (localhost, 127.0.0.1).

  • Telemetry & Logging: Potential credential leaks are sanitized and redacted from all console and error logs.

Required & Optional Environment Variables

Variable

Description

Default

CODEATLAS_API_KEY

Secret key to connect to CodeAtlas Cloud services for AI memory and scan features.

(none)

CODEATLAS_API_URL

Target URL for CodeAtlas Cloud. Validated via allowlists to prevent credential exfiltration.

(none)

CODEATLAS_ALLOW_CUSTOM_URL

Set to true to allow sending credentials to self-hosted or unlisted destinations. Required for private network deployments.

false

CODEATLAS_SCAN_AI_KEY

Key for deep AI security scanning using an external LLM.

(none)

CODEATLAS_SCAN_AI_URL

Endpoint for deep AI security scanning.

(none)

📚 Documentation

Guide

Description

Development Guide

Full environment setup, commands, and troubleshooting.

Deployment Guide

PM2, systemd, Nginx TLS, and healthchecks.

API Examples

Auth, dream memory, and MCP config examples.


🤝 Contributing

See CONTRIBUTING.md for guidelines.


📜 License

MIT © Giau Phan



⚠️ Known Limitations

  • Oracle DB Required for Persistent Memory: Local-only mode works without Oracle, but dream memory persistence requires it.

  • Cloud Dream Query Filters: When querying memories with scope, tags, or memory_type filters, the backend performs vector hybrid search on the query text plus SQL filtering on the other parameters. The tags parameter is passed as a JSON string to the upstream API. The related_ids parameter is also supported for filtering by related memory IDs.

  • Multi-Tenant Not Supported: Only single-tenant mode available.

  • Security: No built-in rate limiting; use a reverse proxy (Nginx) in production.


🐛 Issues & Support

Maintenance

ActivityActive
ResponsivenessNo issues

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