oss_dependency_velocity_tracker
As a CTO, track the update velocity of your project's open-source dependencies to assess their impact on DORA metrics like deployment frequency and lead time. This tool fetches release history and version adoption data from npm registry and libraries.io, providing insights into dependency freshne...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/oss-dependency-velocity-tracker.md
What oss_dependency_velocity_tracker does on Mcp Knowledge
AI agents call oss_dependency_velocity_tracker to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
packages | array | Yes | |
lookbackDays | number | — |
Parameters from the server's own tool schema.
Why oss_dependency_velocity_tracker is rated Low
The tool only retrieves and analyzes data from external registries (npm, libraries.io). It does not modify, execute, or delete anything. It outputs structured metrics and warnings, making it a read/query operation with low blast radius.
From the tool's definition fetches release history and version adoption data from npm registry and libraries.io, providing insights into dependency freshness, update frequency, and potential risks
Attacks that exploit this kind of access
The rule that runs oss_dependency_velocity_tracker safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For oss_dependency_velocity_tracker, this is the rule to start with:
oss_dependency_velocity_tracker is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every oss_dependency_velocity_tracker call is checked against it from then on.
Questions about oss_dependency_velocity_tracker
As a CTO, track the update velocity of your project's open-source dependencies to assess their impact on DORA metrics like deployment frequency and lead time. This tool fetches release history and version adoption data from npm registry and libraries.io, providing insights into dependency freshness, update frequency, and potential risks. Input a list of package names and optional version ranges to analyze. Outputs structured dependency velocity metrics and warnings about stale or rapidly changing packages. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
oss_dependency_velocity_tracker accepts 3 parameters: async, packages, lookbackDays. Required: packages. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for oss_dependency_velocity_tracker: 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 Knowledge. Nothing to install.
oss_dependency_velocity_tracker 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 oss_dependency_velocity_tracker 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 oss_dependency_velocity_tracker. 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.
oss_dependency_velocity_tracker is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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