Composite "should I add this npm package to my project" check in ONE call — fans out across deps.dev (license + advisories + version history) and bundlephobia (gzipped/minified bundle size, dependency count, ESM/tree-shake support). Use whenever an agent asks "is X safe / popular / small" or "wha...
AI agents call scan_dependency to retrieve information from Mcp Tcgdex without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
package | string | Yes | npm package name. Scoped packages (e.g. "@types/node") are accepted. |
version | string | — | Specific version to check (e.g., "18.3.1"). Defaults to the latest published version when omitted. |
Parameters from the server's own tool schema.
This tool retrieves and aggregates read-only data from multiple public registries and analysis services to help users evaluate npm packages before adding them to a project. It performs no mutations, does not execute code, and does not delete or modify any data.
From the tool's definition Tool queries npm package metadata from deps.dev and bundlephobia: 'fans out across deps.dev (license + advisories + version history) and bundlephobia (gzipped/minified bundle size, dependency count, ESM/tree-shake support)'.
Attacks that exploit this kind of access
Composite "should I add this npm package to my project" check in ONE call — fans out across deps.dev (license + advisories + version history) and bundlephobia (gzipped/minified bundle size, dependency count, ESM/tree-shake support). Use whenever an agent asks "is X safe / popular / small" or "what does adding lodash cost me". Returns a summary block (is_latest, license, published_at, advisory_count, bundle_kb_min, bundle_kb_gz, dependency_count, has_esm, tree_shakeable), per-advisory detail, links, and a list of recent alternative versions. NPM ecosystem only in v1; PyPI / Maven / Cargo / Go fall under deps.dev:version directly. Partial failures degrade gracefully — bundlephobia's first measurement on a new version can take 5-30s; sources_failed will list it if it times out, the rest still returns. It is categorised as a Read tool in the Mcp Tcgdex MCP Server, which means it retrieves data without modifying state.
scan_dependency accepts 2 parameters: package, version. Required: package. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Tcgdex MCP server in PolicyLayer and add a rule for scan_dependency: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Tcgdex. Nothing to install.
scan_dependency is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the scan_dependency rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for scan_dependency. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
scan_dependency is provided by the Mcp Tcgdex MCP server (pipeworx-io/mcp-tcgdex). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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