Skip to main content

Accordo MCP server with dynamic YAML workflow support

Project description

Accordo Logo

Accordo MCP Server

PyPI - Version GitHub Actions Workflow Status

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

  1. Automatic Discovery - System scans .accordo/workflows/ for available YAML workflows
  2. Intelligent Matching - Analyzes task description against workflow capabilities and goals
  3. Workflow Selection - Agent chooses the most appropriate workflow from discovered options
  4. 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

  1. Analyze Task Requirements - Agent understands specific needs
  2. Get Creation Guidance - Comprehensive templates and best practices provided
  3. Generate Custom YAML - Agent creates workflow tailored to exact requirements
  4. 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!

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 | bash

The 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 --help

Manual 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):

Install MCP Server

Getting Help

📚 Documentation

🎯 Examples

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

accordo_workflow_mcp-0.6.4.tar.gz (131.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

accordo_workflow_mcp-0.6.4-py3-none-any.whl (144.3 kB view details)

Uploaded Python 3

File details

Details for the file accordo_workflow_mcp-0.6.4.tar.gz.

File metadata

  • Download URL: accordo_workflow_mcp-0.6.4.tar.gz
  • Upload date:
  • Size: 131.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for accordo_workflow_mcp-0.6.4.tar.gz
Algorithm Hash digest
SHA256 63de8d0f4d3c1cb1298282860e90bd165b569431e92cbc1563dd0eb0165e79f5
MD5 6f6d518b00101ddf627a402b3f363c14
BLAKE2b-256 7c5317c3c65517184b5b9ce8a444484e898334d8127f5242bae373d3319aa9ba

See more details on using hashes here.

Provenance

The following attestation bundles were made for accordo_workflow_mcp-0.6.4.tar.gz:

Publisher: publish-to-pypi.yml on AndurilCode/accordo

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file accordo_workflow_mcp-0.6.4-py3-none-any.whl.

File metadata

File hashes

Hashes for accordo_workflow_mcp-0.6.4-py3-none-any.whl
Algorithm Hash digest
SHA256 26655e80d344add8b5933b226102c9e387a9281db158b5a9379e4dff040b1bc4
MD5 dc61a1d835e1577ff3bc2441381b6c7b
BLAKE2b-256 6780b8762fcd536b07192841ce832ade905d3f060a0136f9a62e17231600cfdb

See more details on using hashes here.

Provenance

The following attestation bundles were made for accordo_workflow_mcp-0.6.4-py3-none-any.whl:

Publisher: publish-to-pypi.yml on AndurilCode/accordo

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page