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ToolCargo

A practical MCP workflow

Compare npm and PyPI packages with an AI agent

Use ToolCargo npm Package Intelligence for JavaScript packages and PyPI Package Intelligence for Python packages. Ask your agent to compare a small set within the same ecosystem using versions, declared dependencies and license metadata, then inspect the source documentation before choosing.

Built for: Developers assessing a new dependency or preparing an upgrade and review note.

What to connect

Create a ToolCargo account and use OAuth or an API key with a supported MCP client. Hosted connectors share your plan’s call quota; connect each required MCP endpoint separately. Review provider permissions before starting.

Client setup and test status · Current plans and limits

Run the workflow

  1. 1. State the job and the ecosystem

    Describe the feature you need and your runtime constraints. Compare JavaScript alternatives in npm or Python alternatives in PyPI. A similar package name across registries does not mean the packages have the same maintainers or behavior.

  2. 2. Read registry metadata first

    Retrieve public package metadata and keep the source URLs. Record the version, declared license, dependencies and release details where available. Treat missing fields as unknown instead of having the agent fill them in.

  3. 3. Compare against the same questions

    Check whether each candidate supports your required runtime and feature. npm download statistics can be unavailable and do not prove quality. PyPI metadata does not provide an equivalent download measure through this connector.

  4. 4. Review sources and test in your project

    Read the linked documentation, repository and license text. The GitHub connector can help inspect repositories, issues and pull requests after you connect a suitable personal access token. Test the chosen package in your project before adopting it.

A prompt to try

Compare these packages within their registry for our stated feature. Show the source URL, current version, declared license, dependencies and missing information for each. Distinguish registry facts from your inference. Finish with questions we should answer from documentation and a project-level compatibility check.

What a useful result looks like

Example review note: package → registry/source URL → version → declared license → dependencies → unknowns → project compatibility check. Keep npm and PyPI comparisons separate; do not rank Python packages using npm download counts.

Know the limits

These tools do not install or execute packages, scan for vulnerabilities or prove license compliance. Public registry metadata can be incomplete. GitHub requires your own token and repository permissions; npm and PyPI do not require a registry API key.

Common questions

Do npm and PyPI research need provider API keys?

No registry API key is needed for these public-source connectors. ToolCargo hosted MCP calls still require your ToolCargo account, authentication and shared call quota.

Can this detect whether a package is safe?

Registry metadata alone cannot establish security. Review maintainers, advisories, source changes and your own dependency scanning and tests before installing.

Does ToolCargo install the selected package?

No. These connectors return read-only metadata. Your agent or developer handles installation and testing in your own project.

References and tool documentation

Use the provider’s documentation to check the underlying concepts, and ToolCargo’s references for the exact tools, inputs and limits.

  • npm: package.json metadata

    Read the registry fields for declared licenses, dependencies and runtime constraints.

  • PyPI: JSON API

    Understand the project metadata returned by PyPI and the limits of publisher-supplied information.

Tool references for this workflow

Continue with the tools

View the main connectorSet up your client

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