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ContextCortex (v2.12.0)

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A high-performance, multi-repo Model Context Protocol (MCP) server providing syntax-aware Code RAG, Hybrid Retrieval (Dense + BM25), Tree-sitter AST chunking, Pluggable Dual-Engine Architecture (PostgreSQL 16 + pgvector & SQLite), MCP 2026-07-28 OAuth 2.1 & 3-Tier RBAC, and Universal Git Provider indexing with an integrated Web Admin Dashboard (ContextCortex) and real-time Diagnostic Observability.

🖼️ View Dashboard Components
Overview Git Repositories
Overview Git Repos
Search & Inspector Local Paths
Search Local Paths
Settings Diagnostics & Logs
Settings Diagnostics
🎨 Multi-Theme Appearance (4 Polished Palettes)
Deep Ocean (Dark Default) Midnight Blue (Dark Space)
Deep Ocean Midnight Blue
Petrol spruce #07181b with vibrant cyan #0891b2 & mint Obsidian navy #0a0f1d with royal blue #3b82f6 & teal
Lavender Haze (Light Purple) Amber Warmth (Light Sandstone)
:---: :---:
Lavender Haze Amber Warmth
Lilac canvas #f5f3ff with purple #7c3aed & fuchsia Sandstone #fdf8f4 with terracotta #ea580c & amber

🌟 Key Features

  • Pluggable Dual-Engine Architecture:
    • PostgreSQL 16 + pgvector Profile: Containerized production deployment with native vector(384) HNSW cosine distance indexing (vector_cosine_ops), JSONB metadata payload queries, and robust connection pooling (psycopg3).
    • SQLite Profile: Zero-configuration, zero-dependency embedded disk mode with automatic WAL journaling, 5000ms busy timeout, and resilient relational caching.
  • SQLAlchemy 2.0 Core Unified Schema: Single source of truth relational schema (metadata) shared seamlessly between SQLite and PostgreSQL, with startup connection retry loops (wait_for_db) and automatic metadata seeding.
  • MCP 2026-07-28 OAuth 2.1 & RBAC Security Engine:
    • RFC 9728 Protected Resource Metadata: Standard discovery endpoint at /.well-known/oauth-protected-resource exposing resource indicators, authorization server issuers, and MCP scopes.
    • JWT & OIDC Discovery: Validates RS256/ES256 signed bearer tokens with automatic JWKS key discovery and cached key rotation.
    • Database-Backed API Keys: Cryptographically secure cc_... API keys with SHA-256 hash verification, expiration timestamps, and one-click revocation.
    • 3-Tier RBAC Hierarchy: admin (Level 30 / mcp:admin), editor (Level 20 / mcp:editor), and viewer (Level 10 / mcp:viewer).
    • Zero-Friction Local Dev Bypass: Runs in unrestricted admin mode when AUTH_ENABLED=false for local developer velocity.
  • FastMCP 2.0 Native Architecture: Built on the official Model Context Protocol Python SDK 2.0.0+ (FastMCP), supporting modern decorator patterns, typed schemas, dynamic catalog resources, and custom agent prompts.
  • Dual MCP Transports:
    • Server-Sent Events (SSE): Full streaming events at /sse with POST message routing at /messages/.
    • Streamable HTTP: Bidirectional JSON-RPC transport endpoint at /mcp.
  • Multi-Vector Database Backends:
    • pgvector: PostgreSQL 16 vector extension with HNSW cosine search.
    • Qdrant: High-scale vector engine supporting dense + sparse BM25 multi-vectors with Reciprocal Rank Fusion (RRF) in both embedded disk and remote server modes.
    • ChromaDB: Lightweight, zero-dependency embedded disk or remote vector store with automatic fallback.
    • Dynamic Backend Switching: Test and switch vector backends live from the Settings UI or REST API without server restarts.
  • Universal Git Provider Support:
    • Ingest repositories from any source where Git lives: GitHub, GitLab (Cloud, Enterprise & Self-Hosted), Gitea & Forgejo, Bitbucket (Cloud & Server), and Generic Git HTTP/HTTPS.
    • Provider-Aware Permalinks: Automatically generates exact deep-links for code results (/blob/, /-/blob/, /src/branch/, /src/commit/, /src/#lines-).
    • Custom Git Host Credential Vault: Register per-host tokens and authentication types for private internal domains (e.g. gitlab.company.internal or http://git.lan:3000).
  • AST-Aware Code Chunking (Tree-sitter): Understands syntax structures across Python, TypeScript/JavaScript, Go, Rust, C#, C++, Java, Ruby, PHP, and more. Chunks along class, method, and function boundaries with exact line numbers and symbol names.
  • Ephemeral Repository Ingestion: Authenticated shallow clones (--depth 1) extract AST symbols and hybrid vectors and immediately remove the cloned repository from disk to conserve storage.
  • Multi-Tier Git Authentication Hierarchy:
    1. Per-repository override token & optional username.
    2. Domain-level Custom Git Host Vault (git_host_credentials).
    3. Global provider tokens (GITHUB_TOKEN, GITLAB_TOKEN, GITEA_TOKEN in DB or Settings UI).
    4. Environment variable fallback.
  • Fast Deterministic Symbol Lookup: Built-in symbol table (ast_symbols) powers instantaneous symbol searches (find_symbol) and file outlines (get_file_outline) without token bloat.
  • Diagnostic Logging & Observability: In-memory ring buffer (500 events) capturing server warnings, errors, indexing lifecycle events, and expandable stack traces with a REST API (/admin/api/logs).
  • Multi-Theme Engine & Modern Tabbed Web Dashboard (/admin/):
    • Appearance & Theme Settings: Instant zero-latency switching between 4 distinct dark and light themes (Deep Ocean, Midnight Blue, Lavender Haze, and Amber Warmth) with live palette swatches and browser persistence.
    • Overview: Real-time stats, vector counts, AST symbols, model specs, topic tag cloud, and manual full reindexing trigger.
    • Git Repositories: Register repos across GitHub, GitLab, Gitea, Bitbucket, or Generic Git, trigger shallow clone syncs, inspect commit SHAs, and manage sources.
    • Local Paths: Monitor local workspaces and notes vaults with recursive directory scanning and filesystem browser modal.
    • Search & Inspector: Interactive live hybrid search tester with RRF score previews, target type toggle (Code vs Docs), and syntax highlighted results.
    • Settings: Vector Database manager (pgvector, Qdrant, & ChromaDB switcher & connection tester), multi-provider token cards, GitHub rate limit monitor, and interactive Custom Git Host Credential Vault table/modal.
    • Diagnostics & Logs: Real-time log viewer with level filtering (ALL, INFO, WARNING, ERROR, DEBUG), keyword search, traceback modal/drawer, and buffer clearing.

🛠️ MCP Tools, Resources & Prompts

Tools & RBAC Permissions

Tool Required Role Parameters Description
search_code viewer query (str), repo (str, opt), language (str, opt), limit (int, default 5) Hybrid semantic + BM25 code search. Returns code blocks with line ranges & clickable git permalinks.
search_docs viewer query (str), repo (str, opt), category (str, opt), tag (str, opt), limit (int, default 5) Hybrid search across markdown documentation, system architecture, and runbooks.
find_symbol viewer name (str), repo (str, opt), exact (bool, default True), limit (int, default 10) Instant exact or prefix AST symbol lookup (functions, classes, structs, interfaces).
get_file_outline viewer filepath (str), repo (str, opt) Returns the AST structure (classes, methods, signatures, lines) without full file token costs.
list_repositories viewer None Lists all registered Git repositories and local paths with commit SHAs and indexing status.
sync_repository editor repo (str, opt) Triggers background shallow clone sync for a specific repository or all sources.
index_status viewer None Returns vector counts, collection status, embedding models, and GitHub rate limits.
get_architecture viewer repo (str, opt) Synthesizes codebase entry points, language breakdown, core directories, and architectural overview.
manage_adr editor action (str: list|get|create|update), repo (str, opt), title (str, opt), decision (str, opt), status (str, opt) Query, create, or update Architectural Decision Records (MADR / Nygard format).
get_code_routes viewer repo (str, opt), framework (str, opt), http_method (str, opt) Returns API endpoint route definitions and HTTP client invocations across backend frameworks.
trace_call_path viewer target (str), repo (str, opt), direction (str, default downstream), depth (int, default 3) Traces AST symbol calls, imports, inheritance, and cross-repo API client-to-route connections via BFS.

Resources

Resource URI MIME Type Description
knowledge://catalog/summary text/markdown Dynamic catalog of all indexed repositories, document distributions, and AST symbol totals.

Prompts

Prompt Name Arguments Description
search_infrastructure_docs topic (str) Guided agent workflow to retrieve system architecture, container port mappings, and reverse proxy configs.
find_implementation_symbol symbol (str), repo (str, opt) Guided agent workflow to locate symbol definitions, class signatures, and implementations.

⚙️ Environment Variables

Variable Description Default
DATABASE_URL SQLAlchemy connection string (e.g. postgresql+psycopg://user:pass@host:5432/db or sqlite:////app/data/index_cache.db) sqlite:////app/data/index_cache.db
POSTGRES_DB PostgreSQL database name (Docker Compose) contextcortex
POSTGRES_USER PostgreSQL username (Docker Compose) contextcortex
POSTGRES_PASSWORD PostgreSQL password (Docker Compose) cortexsecret
POSTGRES_PORT PostgreSQL host port mapping 5432
AUTH_ENABLED Enable MCP 2026-07-28 OAuth 2.1 & API Key RBAC false
AUTH_OIDC_ISSUER OpenID Connect Identity Provider Issuer URL (e.g. https://auth.company.com/realms/master) None
AUTH_JWKS_URI Custom JWKS URI override for JWT verification None
AUTH_RESOURCE_INDICATOR RFC 8707 / RFC 9728 Resource Indicator for ContextCortex https://contextcortex.local
ADMIN_INITIAL_KEY Initial admin API key or secret token for container bootstrapping None
VECTOR_STORE_PROVIDER Vector database backend (pgvector, qdrant, or chroma) qdrant
VECTOR_STORE_MODE Vector store mode (embedded or remote) embedded
COLLECTION_NAME Vector collection name knowledge_rag_v1
QDRANT_URL URL to remote Qdrant vector database (if mode is remote) http://localhost:6333
QDRANT_STORAGE_PATH Embedded Qdrant disk directory /app/data/qdrant_storage
CHROMA_STORAGE_PATH Embedded ChromaDB disk directory /app/data/chroma_db
EMBEDDING_PROVIDER Embedding engine (local for in-process ONNX, api for LiteLLM/OpenAI) local
EMBEDDING_MODEL FastEmbed dense model name BAAI/bge-small-en-v1.5
SPARSE_MODEL FastEmbed sparse BM25 model name Qdrant/bm25
GITHUB_TOKEN Optional GitHub Personal Access Token for higher rate limits & private repos None
VAULT_PATH Default path to the markdown documentation directory /docs
CACHE_DB_PATH Path to persistent SQLite cache database /app/data/index_cache.db
CHUNK_SIZE Maximum character length per chunk 1500
CHUNK_OVERLAP Character overlap between consecutive chunks 200

🚀 Running via Docker Compose (Recommended)

ContextCortex provides a production-ready multi-container configuration with PostgreSQL 16 + pgvector:

# 1. Clone the repository
git clone git@github.com:spelech/contextcortex.git
cd contextcortex

# 2. Copy and customize environment variables (optional)
cp .env.example .env

# 3. Launch PostgreSQL 16 + pgvector and ContextCortex
docker compose up -d

docker-compose.yml Architecture:

version: '3.8'

services:
  postgres:
    image: pgvector/pgvector:pg16
    container_name: contextcortex-postgres
    restart: unless-stopped
    environment:
      POSTGRES_DB: ${POSTGRES_DB:-contextcortex}
      POSTGRES_USER: ${POSTGRES_USER:-contextcortex}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-cortexsecret}
    volumes:
      - postgres_data:/var/lib/postgresql/data
    ports:
      - "${POSTGRES_PORT:-5432}:5432"
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U $$POSTGRES_USER -d $$POSTGRES_DB"]
      interval: 5s
      timeout: 5s
      retries: 5

  contextcortex:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: contextcortex-app
    restart: unless-stopped
    depends_on:
      postgres:
        condition: service_healthy
    ports:
      - "${PORT:-3000}:3000"
    environment:
      DATABASE_URL: postgresql+psycopg://${POSTGRES_USER:-contextcortex}:${POSTGRES_PASSWORD:-cortexsecret}@postgres:5432/${POSTGRES_DB:-contextcortex}
      AUTH_ENABLED: ${AUTH_ENABLED:-false}
      AUTH_OIDC_ISSUER: ${AUTH_OIDC_ISSUER:-}
      AUTH_JWKS_URI: ${AUTH_JWKS_URI:-}
      AUTH_RESOURCE_INDICATOR: ${AUTH_RESOURCE_INDICATOR:-https://contextcortex.local}
      ADMIN_INITIAL_KEY: ${ADMIN_INITIAL_KEY:-}
    volumes:
      - repo_cache:/app/data

volumes:
  postgres_data:
  repo_cache:

💻 Running Locally (Bare-Metal)

ContextCortex can be run directly on Linux, macOS, or Windows without Docker dependencies. By default, it operates with zero external services required by leveraging embedded Qdrant/ChromaDB, local SQLite (index_cache.db), and in-process CPU embeddings via FastEmbed/ONNX.

1. Prerequisites

  • Python 3.11+
  • Node.js 20+ & npm
  • Git (available on system PATH)

2. Automated Setup (Recommended)

Clone the repository and run the automated setup script for your platform:

Linux / macOS (Bash):

git clone git@github.com:spelech/contextcortex.git
cd contextcortex
./setup.sh

Windows (PowerShell):

git clone git@github.com:spelech/contextcortex.git
cd contextcortex
.\setup.ps1
Or follow manual step-by-step setup
# 1. Create and activate a Python virtual environment
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# 2. Install Python dependencies
pip install -r requirements.txt

# 3. Build the React 19 administrative dashboard frontend
cd frontend
npm install
npm run build
cd ..

3. Start the Server

# Activate virtual environment (if not already active)
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Run ContextCortex with embedded vector store and local SQLite database
python3 main.py

The server starts on port 3000:

  • Web Dashboard: Access the admin interface at http://localhost:3000/admin/
  • MCP SSE Transport: http://localhost:3000/sse
  • MCP Streamable HTTP Transport: http://localhost:3000/mcp
  • OAuth Protected Resource Metadata: http://localhost:3000/.well-known/oauth-protected-resource
  • Health Check: http://localhost:3000/health

📡 Connecting MCP Clients

Connect any MCP client (VS Code, Cursor, Antigravity CLI, Claude Desktop, or Windsurf) using either Server-Sent Events (SSE) or Streamable HTTP.

Server-Sent Events (SSE) Configuration (claude_desktop_config.json / Cursor)

Unauthenticated (Local Dev Bypass):

{
  "mcpServers": {
    "contextcortex": {
      "url": "http://localhost:3000/sse"
    }
  }
}

Authenticated (API Key or Bearer Token):

{
  "mcpServers": {
    "contextcortex": {
      "url": "http://localhost:3000/sse",
      "headers": {
        "Authorization": "Bearer cc_live_your_api_key_here"
      }
    }
  }
}

Streamable HTTP Configuration

{
  "mcpServers": {
    "contextcortex-http": {
      "url": "http://localhost:3000/mcp",
      "headers": {
        "Authorization": "Bearer cc_live_your_api_key_here"
      }
    }
  }
}

🔐 OAuth 2.1 & API Key Management

Protected Resource Discovery

ContextCortex implements RFC 9728 Protected Resource Metadata. Clients can discover OAuth capabilities:

curl http://localhost:3000/.well-known/oauth-protected-resource

Response:

{
  "resource": "https://contextcortex.local",
  "authorization_servers": ["https://auth.company.com/realms/master"],
  "scopes_supported": ["mcp:admin", "mcp:editor", "mcp:viewer"],
  "bearer_methods_supported": ["header"],
  "resource_documentation": "https://github.com/spelech/contextcortex"
}

Generating API Keys (Admin API)

# Create a Viewer API key
curl -X POST http://localhost:3000/admin/api/auth/keys \
  -H "Authorization: Bearer cc_admin_key" \
  -H "Content-Type: application/json" \
  -d '{"name": "Cursor Agent Key", "role": "viewer"}'

📚 Documentation & Specifications


🧪 Testing & Verification

Run the full automated test suites across backend and frontend:

# Python Backend Tests & Code Coverage
pytest -v --cov=app

# Synchronize Requirements Catalog
python3 scripts/generate_requirements.py

# Frontend Unit & Component Tests (Vitest)
cd frontend && npm run test

# Frontend End-to-End Tests (Playwright)
cd frontend && npx playwright test

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High-performance Model Context Protocol (MCP) server providing syntax-aware Code RAG, hybrid retrieval (Dense + BM25), Tree-sitter AST chunking, and multi-repo Git indexing.

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