io.pm-33/mcp-server

AI-powered product management: backlog optimization, scheduling, forecasting, and PRD generation.

What does this entry provide?

io.pm-33/mcp-server is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding io.pm-33/mcp-server to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 67/100
Install method: streamable-http
Repo: b33-steve/pm33-replit-new
Repo updated: Mar 5, 2026

Install command

mcp add io.pm-33/mcp-server https://pm-33.io/mcp

Install method: streamable-http

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Mar 5, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-03-05T07:13:11.860517Z",
      "publishedAt": "2026-03-05T07:13:11.860517Z",
      "statusChangedAt": "2026-03-05T07:13:11.860517Z"
    }
  },
  "server": {
    "name": "io.pm-33/mcp-server",
    "icons": [
      {
        "src": "https://pm-33.io/pm33-logo-square.png",
        "sizes": [
          "512x512"
        ],
        "mimeType": "image/png"
      },
      {
        "src": "https://pm-33.io/pm33-logo-light.png",
        "theme": "light",
        "mimeType": "image/png"
      },
      {
        "src": "https://pm-33.io/pm33-logo-dark.png",
        "theme": "dark",
        "mimeType": "image/png"
      }
    ],
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://pm-33.io/mcp",
        "type": "streamable-http",
        "headers": [
          {
            "name": "x-api-key",
            "isSecret": true,
            "description": "PM33 API key with 'mcp:enabled' scope (alternative to OAuth). Generate at PM33 Settings > Developer > API Keys."
          }
        ]
      }
    ],
    "version": "1.2.0",
    "repository": {
      "url": "https://github.com/b33-steve/pm33-replit-new",
      "source": "github"
    },
    "description": "AI-powered product management: backlog optimization, scheduling, forecasting, and PRD generation."
  }
}

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