Package Intel MCP

Package intelligence for AI agents across npm, PyPI, crates.io and deps.dev.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Package intelligence for AI agents across npm, PyPI, crates.io and deps.dev. No API keys.

    How to connect

    How to connect Package Intel MCP to Claude

    The server address to paste into Claude settings:

    https://package.datakoot.com/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect Package Intel MCP to ChatGPT

    The server address to paste into ChatGPT settings:

    https://package.datakoot.com/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect Package Intel MCP to Cursor

    The server address to paste into Cursor settings:

    https://package.datakoot.com/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (6)

    Raw names from tools/list. Only developers need these.

    package_infoGet core metadata for a package: latest version, description, license, homepage, source repository, maintainers, and whether it is deprecated. Use before an agent installs or recommends a dependency. Ecosystems: npm, pypi, cargo.
    package_versionsList recent released versions of a package with release dates (most recent first). Helps an agent pick a version or check how actively it is maintained. Ecosystems: npm, pypi, cargo.
    package_downloadsGet popularity/download statistics for a package (recent download counts). Useful for judging how widely used and battle-tested a dependency is. Ecosystems: npm, pypi, cargo.
    package_dependenciesList the direct dependencies of a specific package version (defaults to latest), via deps.dev. Lets an agent understand what a package pulls in before adding it. Ecosystems: npm, pypi, cargo.
    package_healthA composite trust/health check for a package an agent is considering: latest-release recency, deprecation status, license present, maintainer count, dependency count, and any known security advisories (via deps.dev). Returns a summary an agent can act on. Ecosystems: npm, pypi, cargo.
    package_searchSearch for packages by keyword and get the top matches with descriptions. Supported ecosystems: npm and cargo (PyPI has no public search API).