Workoflow MCP Server

MCP (Model Context Protocol) server that bridges local AI tools (Claude Code, Cursor, Windsurf, etc.) with the Workoflow orchestration platform.

Features

• Token-based authentication: Uses your personal access token from Workoflow
• Dynamic tool discovery: Lists all tools available in your organization
• Tool execution proxy: Execute any Workoflow tool from your AI assistant
• Caching: TTL-based caching for tool definitions
• OpenTelemetry tracing: Integrated with Phoenix for observability

Quick Start

1. Get Your Token

1. Log into Workoflow platform
2. Go to /profile/
3. Generate or copy your Personal Access Token

2. Configure Your AI Tool

Add to your Claude Code MCP configuration (~/.claude.json or via claude mcp add):

{
  "mcpServers": {
    "workoflow": {
      "transport": "http",
      "url": "http://localhost:9006/mcp",
      "headers": {
        "X-Prompt-Token": "<your-personal-access-token>"
      }
    }
  }
}

3. Run the Server

Local development:

# Install dependencies
pip install -r requirements.txt

# Copy and configure environment
cp .env.example .env
# Edit .env with your settings

# Run the server
cd src && fastmcp run workoflow_mcp.server:mcp --transport http --port 9006

Docker:

docker build -t workoflow-mcp .
docker run -p 9006:9000 --env-file .env workoflow-mcp

Available Tools

Once connected, you have access to three tools:

workoflow_list_tools

Lists all available tools from your Workoflow organization.

workoflow_execute

Execute any tool by name with parameters.

Parameters:
- tool_name: The tool to execute (e.g., "jira_search_123")
- parameters: JSON string of tool parameters

workoflow_refresh

Refresh the cached tool list after adding/removing integrations.

Environment Variables

| Variable | Description | Default | |----------|-------------|---------| | WORKOFLOW_API_URL | Platform API base URL | http://localhost:8000 | | TOOL_TYPES | Comma-separated tool type filter | (all tools) | | CACHE_TTL_SECONDS | Tool cache TTL in seconds | 600 | | OTEL_SERVICE_NAME | OpenTelemetry service name | workoflow-mcp | | OTEL_EXPORTER_OTLP_ENDPOINT | OTLP endpoint for tracing | (disabled) |

Architecture

AI Tool (Claude Code/Cursor)
    │
    │ MCP Protocol (Streamable HTTP)
    │ X-Prompt-Token header
    ▼
┌─────────────────────┐
│  Workoflow MCP      │
│  Server (FastMCP)   │
│  Port 9006          │
└─────────────────────┘
    │
    │ HTTP API
    │ X-Prompt-Token header
    ▼
┌─────────────────────┐
│  Workoflow Platform │
│  /api/mcp/tools     │
│  /api/mcp/execute   │
└─────────────────────┘

Security

• Token-based: Each user authenticates with their personal access token
• No stored credentials: MCP server doesn't store any credentials
• Per-request validation: Token validated on every API call
• Org-scoped: Token determines which organization's tools you can access

License

Proprietary - Workoflow Platform