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Agile Planner MCP Server

Automatically generates structured agile backlogs including epics, features, and user stories from n...

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Updated Feb 4, 2026
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Automatically generates structured agile backlogs including epics, features, and user stories from natural language descriptions within AI-powered IDEs. It streamlines project management by creating AI-optimized markdown files and directory structures to guide step-by-step implementation.
  1. Open the FastMCP connection interface (the “Install Now” button)

    • Open the FastMCP UI where you add or configure MCP servers and click the existing “Install Now” / Add connection button for the Agile Planner MCP server.
    • You will enter the environment variable values in the FastMCP connection form fields described below.
  2. Required: set MCP_EXECUTION = "true"

    • In the FastMCP env form add a variable named MCP_EXECUTION and set its value exactly to: true (string "true").
    • This is mandatory for MCP mode.
  3. Provide an OpenAI API key OR a Groq API key (one of these is required)

    • If you will use OpenAI models:
      1. Sign in or create an account at OpenAI (platform.openai.com).
      2. Open the API keys / secret keys page and click “Create new secret key”.
      3. Copy the generated secret immediately (you will not be able to view it again).
      4. In the FastMCP form add OPENAI_API_KEY and paste the copied secret as the value. (metorial.com)
    • If you will use Groq models:
      1. Sign up or sign in at Groq Cloud (console.groq.com).
      2. Open the API Keys (or “Keys”) section in your Groq console and click “Create API Key”.
      3. Copy the generated key immediately (it is shown only once).
      4. In the FastMCP form add GROQ_API_KEY and paste the copied key as the value. (console.groq.com)
  4. Optional environment variables to add (only if you need them)

    • DEBUG — set to true to enable verbose logs, or false to disable.
    • TEST_MODE — set to true if you want mock generation/test mode.
    • AGILE_PLANNER_OUTPUT_ROOT — optional path where the backlog will be written (default is current directory).
    • Add these by creating env entries with the exact names above in the FastMCP form.
  5. (If using local installation) .env local setup

    • If your administrator installs the server locally instead of via npx, copy .env.example → .env in the server folder and paste your OPENAI_API_KEY or GROQ_API_KEY there, and set MCP_EXECUTION="true" before starting the server.
  6. Security and best practices

    • Treat API keys like passwords: store them in a password manager or secret manager; do NOT commit .env files or keys to version control.
    • If a key is accidentally exposed, revoke it in the provider console and create a new one.
    • Limit key scope and use project/service keys where available.
  7. Save the FastMCP connection and install

    • Paste all values into the FastMCP connection interface fields, save the connection, then click the Install / Confirm button.
    • After installation, run a simple MCP command (for example a small generateBacklog or generateFeature call from your Windsurf/Cascade/Cursor UI) to verify the server can reach the chosen LLM provider.
  8. If something fails

    • Confirm MCP_EXECUTION is exactly "true".
    • Re-check that the API key was copied fully (remember OpenAI/Groq only show the full key once).
    • If needed, rotate/recreate the key in the provider console and update the FastMCP env value.

References for creating keys:

  • OpenAI: create a secret API key at your OpenAI dashboard / API keys page. (metorial.com)
  • Groq: create/manage API keys in the Groq Cloud console (console.groq.com → Keys). (console.groq.com)

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