Documentation

MCP Integration

Preview

ChordFlow is currently in preview. Features and documentation may change as we improve the product.

Connect ChordFlow to your AI assistants using the Model Context Protocol (MCP) for seamless integration and enhanced productivity.

What is MCP?

The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external data sources and tools:

Secure Access

AI assistants access your data without exposing sensitive information

Real-time Data

Get up-to-date information from your projects and documents

Workflow Automation

Execute ChordFlow workflows directly from your AI assistant

Context Awareness

AI assistants understand your project structure and team dynamics

Agent Types

ChordFlow works with different types of AI agents, each with varying capabilities:

Coding Agents

Full-featured development environments with comprehensive capabilities.

Complete MCP integration
File system access and editing
Shell command execution
Git operations and version control
Code compilation and testing
Full workflow execution

Examples: Cursor, Windsurf, VS Code with extensions

Planning Agents

Specialized agents focused on planning and coordination tasks.

MCP integration for ChordFlow data
Web research capabilities
Document analysis and creation
Project planning and task creation
Limited file system access
No shell command execution

Examples: Claude Desktop, ChatGPT with plugins

Choosing the Right Agent

Use Coding Agents for implementation workflows that need to modify code, run tests, or execute system commands.Use Planning Agents for research, documentation, and high-level planning tasks that don't require direct code manipulation.

Supported AI Assistants

ChordFlow's MCP server works with any MCP-compatible AI assistant:

Installation & Setup

Setting up MCP integration is straightforward:

1

Install the ChordFlow MCP Server

Download and install the MCP server package

2

Configure Your AI Assistant

Add ChordFlow as an MCP server in your assistant's configuration

3

Authenticate

Use your ChordFlow API key to establish secure connection

4

Test Connection

Verify the integration is working correctly

Available Functions

The ChordFlow MCP server provides comprehensive access to your organization's data:

Security & Permissions

ChordFlow MCP integration maintains strict security standards:

  • All connections use secure authentication with API keys
  • Permissions are inherited from your ChordFlow role and team memberships
  • Data is transmitted securely and never stored by the MCP server
  • Audit logs track all MCP access for compliance and security monitoring
  • Fine-grained permissions control what data AI assistants can access
Page updated: September 5, 2025