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Freshrelease MCP Server

by dasscoax

Freshrelease MCP Server

An MCP server implementation that integrates with Freshrelease, enabling AI models to interact with Freshrelease projects and tasks.

Features

  • Freshrelease Integration: Seamless interaction with Freshrelease API endpoints
  • AI Model Support: Enables AI models to perform project/task operations through Freshrelease
  • Automated Project Management: Handle project and task creation and retrieval

Components

Tools

The server offers several tools for Freshrelease operations:

  • fr_create_project: Create a project
    • Inputs: name (string, required), description (string, optional)
  • fr_get_project: Get a project by ID or key
    • Inputs: project_identifier (number|string, required)
  • fr_create_task: Create a task under a project
    • Inputs: project_identifier (number|string, required), title (string, required), description (string, optional), assignee_id (number, optional), status (string, optional), due_date (YYYY-MM-DD, optional), additional_fields (object, optional)
    • Notes: additional_fields allows passing arbitrary extra fields supported by your Freshrelease account. Core fields (title, description, assignee_id, status, due_date) cannot be overridden.
  • fr_get_task: Get a task by ID
    • Inputs: project_identifier (number|string, required), task_id (number, required)
  • fr_list_status_categories: List status categories (key→id and name→id)
    • Inputs: None
  • fr_get_status_category_id: Resolve status key to id
    • Inputs: key (todo | in_progress | done)
  • fr_get_status_category_id_from_name: Resolve human name to id
    • Inputs: name (Yet To Start | Work In Progress | Completed)
  • fr_list_status_category_names: List human-readable status names
    • Inputs: None

Getting Started

Installing via Smithery

If distributed via Smithery, install for Claude Desktop (example):

npx -y @smithery/cli install @dasscoax/freshrelease_mcp --client claude

Installing from PyPI

Install the published package directly from PyPI:

pip install -U freshrelease-mcp

Verify installation:

freshrelease-mcp --help

Run the server locally with environment variables:

FRESHRELEASE_API_KEY="<YOUR_FRESHRELEASE_API_KEY>" \ FRESHRELEASE_DOMAIN="<YOUR_FRESHRELEASE_DOMAIN>" \ freshrelease-mcp

Prerequisites

  • Freshrelease API access (domain + API key)
  • Freshrelease API key
  • uvx installed (pip install uv or brew install uv)

Configuration

  1. Obtain your Freshrelease API key
  2. Set up your Freshrelease domain and authentication details

Usage with Claude Desktop

  1. Install Claude Desktop if you haven't already
  2. Recommended: Use uvx to fetch and run from PyPI (no install needed). Add the following to your claude_desktop_config.json:
{ "mcpServers": { "freshrelease-mcp": { "command": "uvx", "args": [ "freshrelease-mcp" ], "env": { "FRESHRELEASE_API_KEY": "<YOUR_FRESHRELEASE_API_KEY>", "FRESHRELEASE_DOMAIN": "<YOUR_FRESHRELEASE_DOMAIN>" } } } }

Important Notes:

  • Replace <YOUR_FRESHRELEASE_API_KEY> with your Freshrelease API key
  • Replace <YOUR_FRESHRELEASE_DOMAIN> with your Freshrelease domain (e.g., yourcompany.freshrelease.com)
  • Alternatively, you can install the package and point command directly to freshrelease-mcp.

Usage with Cursor

  1. Add the following to Cursor settings JSON (Settings → Features → MCP → Edit JSON):
{ "mcpServers": { "freshrelease-mcp": { "command": "uvx", "args": [ "freshrelease-mcp" ], "env": { "FRESHRELEASE_API_KEY": "<YOUR_FRESHRELEASE_API_KEY>", "FRESHRELEASE_DOMAIN": "<YOUR_FRESHRELEASE_DOMAIN>" } } } }

Usage with VS Code (Claude extension)

  1. In VS Code settings (JSON), add:
{ "claude.mcpServers": { "freshrelease-mcp": { "command": "uvx", "args": [ "freshrelease-mcp" ], "env": { "FRESHRELEASE_API_KEY": "<YOUR_FRESHRELEASE_API_KEY>", "FRESHRELEASE_DOMAIN": "<YOUR_FRESHRELEASE_DOMAIN>" } } } }

Example Operations

Once configured, you can ask Claude to perform operations like:

  • "Create a Freshrelease project named 'Roadmap Q4'"
  • "Get project 'ENG' details"
  • "Create a task 'Add CI pipeline' under project 'ENG' with a custom field"

Example with custom fields for task creation:

{ "tool": "fr_create_task", "args": { "project_identifier": "ENG", "title": "Add CI pipeline", "status": "in_progress", "additional_fields": { "priority": "High", "labels": ["devops", "ci"], "estimate": 3 } } }

Testing

For testing purposes, you can start the server manually:

uvx freshrelease-mcp --env FRESHRELEASE_API_KEY=<your_api_key> --env FRESHRELEASE_DOMAIN=<your_domain>

Troubleshooting

  • Verify your Freshrelease API key and domain are correct
  • Ensure proper network connectivity to Freshrelease servers
  • Check API rate limits and quotas
  • Verify the uvx command is available in your PATH

License

This MCP server is licensed under the MIT License. See the LICENSE file in the project repository for full details.

-
security - not tested
A
license - permissive license
-
quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Enables AI models to interact with Freshrelease project management platform through API integration. Supports creating and retrieving projects and tasks, managing status categories, and automating project operations through natural language.

  1. Features
    1. Components
      1. Tools
    2. Getting Started
      1. Installing via Smithery
      2. Installing from PyPI
      3. Prerequisites
      4. Configuration
      5. Usage with Claude Desktop
      6. Usage with Cursor
      7. Usage with VS Code (Claude extension)
    3. Example Operations
      1. Testing
        1. Troubleshooting
          1. License

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