Accordo
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Accordostart the coding workflow for a new feature"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Accordo MCP Server
A powerful MCP (Model Context Protocol) server that provides dynamic YAML-driven workflow guidance for AI coding agents. Features structured development workflows with progression control and decision points.
What This Does
This server guides AI agents through structured, schema-driven development workflows:
📋 Dynamic YAML Workflows: Custom workflows defined in YAML with schema-driven execution
🔍 Discovery-First: Automatically discovers and selects appropriate workflows based on task
⚡ Real-time State: Live workflow state tracking with comprehensive session management
🎯 Mandatory Guidance: Authoritative phase-by-phase instructions agents must follow
🤖 Agent-Generated Workflows: Unique capability for agents to create custom YAML workflows on-the-fly
Two Workflow Approaches
Built-in Workflow Discovery Process
Automatic Discovery - System scans
.accordo/workflows/for available YAML workflowsIntelligent Matching - Analyzes task description against workflow capabilities and goals
Workflow Selection - Agent chooses the most appropriate workflow from discovered options
Immediate Execution - Selected workflow starts with full state management and progression control
This provides instant access to proven workflows for common development patterns - coding, documentation, debugging, and more!
Agent Workflow Generation Process
Analyze Task Requirements - Agent understands specific needs
Get Creation Guidance - Comprehensive templates and best practices provided
Generate Custom YAML - Agent creates workflow tailored to exact requirements
Start Execution - Custom workflow runs with full state management
This enables agents to create workflows for any domain - web development, data science, DevOps, research, documentation, testing, and more!
Related MCP server: Spec-driven Development MCP Server
Quick Start
Installing accordo CLI
The accordo CLI provides easy configuration and management of MCP servers. Install it directly with:
# Download and run the installation script
curl -fsSL https://raw.githubusercontent.com/AndurilCode/accordo/refs/heads/main/install.sh | bashThe installer will:
✅ Detect your environment (virtual env, available tools)
🌍 Global installation (recommended): Uses pipx for system-wide access
📦 Virtual environment: Uses uv or pip if you're in a venv
🔧 Auto-setup: Handles dependencies and PATH configuration
CLI Usage
# Configure MCP servers interactively
accordo configure
# Quick setup for specific platforms
accordo configure -p cursor -y
accordo configure -p claude-code -y
# Deploy workflow guidelines to AI assistants
accordo bootstrap-rules # All assistants
accordo bootstrap-rules cursor # Cursor only
accordo bootstrap-rules --force all # Overwrite existing
# List supported platforms and manage servers
accordo list-platforms
accordo list-servers -p cursor
accordo validate -p cursor
# Get help
accordo --helpManual MCP Configuration
Alternatively, install uv for Python package management and configure your MCP client manually:
For Cursor (.cursor/mcp.json):
{
"mcpServers": {
"accordo": {
"command": "uvx",
"args": ["accordo-workflow-mcp"]
}
}
}Or use the following link to install the MCP server (Cursor Installed):
Getting Help
📚 Documentation
Complete Documentation - Comprehensive guides and references
Installation Prerequisites - Detailed setup requirements
🎯 Examples
Workflow Examples - Ready-to-use workflow YAML files
Configuration Examples - MCP client setup examples
License
This project is licensed under the MIT License - see the LICENSE file for details.
This server cannot be deployed
Maintenance
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