ZBS Index What actually exists in applied AI, with the source next to it

mcp server

package-intel-mcp

npm, PyPI & crates.io intel for AI agents: versions, popularity, deps, health. No API keys.

Description as published by the maintainer. Source

  • version 2.0.0
  • active

active — Most recent push to the repository was 2026-08-02.

What this server can do

6 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

package_dependencies(name, version, ecosystem)
List 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. Required: ecosystem, name.
package_downloads(name, ecosystem)
Get 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. Required: ecosystem, name.
package_health(name, ecosystem)
A 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. Required: ecosystem, name.
package_info(name, ecosystem)
Get 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. Required: ecosystem, name.
package_search(limit, query, ecosystem)
Search for packages by keyword and get the top matches with descriptions. Supported ecosystems: npm and cargo (PyPI has no public search API). Required: ecosystem, query.
package_versions(name, limit, ecosystem)
List 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. Required: ecosystem, name.

Last successful function declaration observed on . Source: https://package.datakoot.com/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://package.datakoot.com/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-08-02 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 2.0.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-27 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-07-27 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 6 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe package.datakoot.com
mcp endpoint status ok The server listed 6 functions when asked. as of probe package.datakoot.com

Where to get it

Related, by what their authors tagged them

  • DepScope — last commit 2026-05-05, shares npm, pypi
    Package intelligence MCP for AI agents — 22 tools, 19 ecosystems, AGPL SDK, free.
  • io.github.DigiCatalyst-Systems/dep-diff-mcp — last commit 2026-04-25, shares npm, pypi
    Translates a lockfile diff into a human-readable upgrade plan for npm and PyPI.
  • Open Source Intelligence MCP — last commit 2026-07-16, shares npm, pypi
    GitHub project health, package dependency risk, trending repos, license & package comparison.
  • io.github.amitsingh-24/pixlint — last commit 2026-07-27, shares pypi
    Lint, curate & prepare computer-vision datasets from your AI assistant — MCP server, 67 tools
  • io.github.davidmosiah/agent-seo-engine — last commit 2026-07-03, shares pypi
    Agent-first local SEO quality, intent and opportunity engine with CLI and optional MCP server.
  • io.github.davidmosiah/delx-agent-utilities — last commit 2026-08-06, shares pypi
    Stateless URL, DNS, x402, JWT, encoding, and parsing tools for AI agents.
  • io.github.davidmosiah/google-ads-intent-mcp — last commit 2026-07-03, shares pypi
    Dry-run-first Google Ads search-term intent analyzer and negative-keyword MCP for agents.
  • MCHS NWAU Calculator — last commit 2026-07-31, shares pypi
    Stdio MCP server for MCHS schemas, validation, support status, and evidence.
  • ai.smithery/Nekzus-npm-sentinel-mcp — last commit 2026-07-31, shares npm
    Provide AI-powered real-time analysis and intelligence on NPM packages, including security, depend…
  • npm Trends API — last commit 2026-08-03, shares npm
    npm package download trends and adoption growth over time. Free key at trendsapi.ai

These share tags the maintainers applied themselves, such as npm, pypi. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

Also from datakoot

How the author describes it

Topics the maintainer set on GitHub: ai-agents, ai-tools, claude, crates, llm, mcp, mcp-server, model-context-protocol, npm, pypi.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. datakoot/package-intel-mcp on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://package.datakoot.com/mcp — package.datakoot.com, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.