ContextEngine MCP Server

A Model Context Protocol (MCP) server that provides an interface to the ContextEngine system - a comprehensive Documentation Driven Development (DDD) methodology. This MCP server enables AI assistants to access ContextEngine's structured workflows, context management tools, and knowledge graph system for documentation-first development processes, eliminating repetitive context provision and ensuring code generation follows documented requirements.

🚀 What is ContextEngine?

ContextEngine is an MCP server that implements a comprehensive Documentation Driven Development (DDD) system. It provides structured workflows, context management, and tools that enable AI assistants and humans to collaborate effectively through documentation-first development methodologies.

Core Philosophy

ContextEngine addresses the fundamental challenges of AI-human collaboration in software development:

Context Management: Eliminates repetitive context provision by creating persistent documentation repositories
Quality Assurance: Ensures code generation follows documented requirements and specifications
Scalability: Handles 3x to 30x more information per person than traditional development methods
Business Alignment: Maintains clear connection between technical implementation and business value

Features

Documentation-Driven Workflows: 9 standardized workflows for different development activities
Context Engineering: Dynamic context composition and provision through knowledge graph
Structured Documentation: Plan and task documents with hierarchical organization
Local Documentation Setup: Automatic creation of organized folder structure and configuration files
TypeScript: Full type safety and modern development experience
Authentication: Built-in support for API keys and authentication
Comprehensive Logging: Structured logging with proper MCP compatibility

🛠️ Installation

Requirements

Node.js >= v18.0.0
Cursor, Claude Code, VSCode, Windsurf or another MCP Client

Connecting to MCP Clients

"mcp": {
  "servers": {
    "context-engine": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "context-engine", "--api-key", "YOUR_API_KEY"]
    }
  }
}

🔨 Available Tools

ContextEngine provides tools for DDD workflow execution:

1. `start_context_engine`

Starts the ContextEngine system and automatically sets up the local documentation structure. This tool:

Initializes the ContextEngine via API call to establish system awareness
Creates local documentation structure with organized folders for DDD workflows
Sets up configuration files with default settings and workflow definitions
Provides comprehensive feedback about both remote and local setup status

The tool creates a .context-engine directory structure:

.context-engine/
├── implementation/       # For completed documentation and implementations
├── requirements/         # For requirements and specifications  
└── config/              # For configuration files
    ├── settings.json     # ContextEngine settings
    └── workflows.json    # Workflow configurations

Response Format: Returns a combined status showing both API response and local setup results with clear emoji indicators:

📁 Success: Documentation structure setup completed
⚠️ Warning: Setup completed with issues
❌ Error: Setup failed (but API call succeeded)

CLI Arguments

Your MCP server accepts the following CLI flags:

--transport <stdio|http> – Transport to use (stdio by default)
--port <number> – Port to listen on when using http transport (default 3000)
--api-key <key> – API key for authentication (if needed)
--server-url <url> – Custom server URL (defaults to https://contextengine.in)

📚 Usage

Start ContextEngine: Use the start_context_engine tool to initialize the DDD system and set up local documentation structure and local documentation setup results
Select Workflow: Choose from 9 available workflows based on your development objective
Execute Workflow: Follow the structured workflow phases to complete your development task
Integrate with AI assistants: Connect to Cursor, VS Code, Claude Code, etc.

📄 License

MIT

Deploy Server

HTTP connection URL

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Tools

Provides real-time access to up-to-date library documentation and code examples for any programming library. Helps AI coding assistants deliver accurate, current information instead of relying on outdated training data.

Related MCP Servers

mcp-codex-keeper
aindreyway
-
security
A
license
-
quality
Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.
Last updated -
56
75
MIT License
Code Research MCP Server
nahmanmate
A
security
A
license
A
quality
Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation.
Last updated -
6
39
AGPL 3.0
Docforkofficial
docfork
A
security
A
license
A
quality
Provides up-to-date documentation for 9000+ libraries directly in your AI code editor, enabling accurate code suggestions and eliminating outdated information.
Last updated -
1
93
129
MIT License
Document Automation MCP Server
vedantparmar12
-
security
A
license
-
quality
A sophisticated server that enables AI assistants to automatically analyze codebases and generate comprehensive, professional documentation.
Last updated -
1
MIT License

View all related MCP servers

ContextEngine MCP Server