How do I install the projectflow mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `STORAGE_DIR`, `LLM_PROVIDER`, `LLM_OLLAMA_MODEL`, `LLM_API_KEY`, `LLM_MODEL`, `LLM_BASE_URL`, `LLM_OLLAMA_HOST` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Projectflow MCP Server

A workflow management system for AI-assisted development, similar to Jira or Azure DevOps. Supports both API-driven interactions and Model Context

Local serverstdioGo

What is the Projectflow MCP Server?

A workflow management system for AI-assisted development, similar to Jira or Azure DevOps. Supports both API-driven interactions and Model Context Protocol for

What it actually does

Hierarchical task management (Epics, Stories, Subtasks)
🚀 NEW: Natural Language Chat Interface — - Interact with ProjectFlow using conversational commands
REST API for programmatic access
Model Context Protocol (MCP) support for AI agents
Web interface for human users
Flexible storage: File system (JSON) or PostgreSQL database

Configuration

Go 1.24 or later - Docker/Podman (for containerized deployment)

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Projectflow MCP Server

{
  "mcpServers": {
    "projectflow": {
      "command": "go",
      "args": [
        "run",
        "cmd/mcp-server/main.go"
      ],
      "cwd": "/path/to/projectflow"
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Go 1.24 or later - Docker/Podman (for containerized deployment)

Example prompts to try

“Use Projectflow to Prerequisites.”
“Use Projectflow to Building.”

Frequently asked questions

A workflow management system for AI-assisted development, similar to Jira or Azure DevOps. Supports both API-driven interactions and Model Context Protocol for Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.