ossf_scorecard_trend_analyzer

As a CTO, analyze OSSF Scorecard trends for your top 10-50 dependencies to identify security regressions or deteriorating project health. Input GitHub repository names (owner/repo), get structured trend data including score deltas, check failures, and risk flags. Uses OSSF Scorecard API and GitHu...

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io
Low RISK CLASS
Category Read
Parameters 41 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/ossf-scorecard-trend-analyzer.md

What ossf_scorecard_trend_analyzer does on Mcp Knowledge

AI agents call ossf_scorecard_trend_analyzer 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.

ParameterTypeRequiredDescription
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
lookbackDays number Number of days to analyze trends for
repositories array Yes List of GitHub repositories in owner/repo format
minScoreThreshold number Minimum acceptable score to flag as risky

Parameters from the server's own tool schema.

Why ossf_scorecard_trend_analyzer is rated Low

This tool queries existing security scorecard data and historical metrics from public APIs (OSSF Scorecard, GitHub Archive) to help assess dependency risk. It is purely informational—it reads and analyzes data without side effects.

From the tool's definition Tool description explicitly states 'analyze OSSF Scorecard trends' and 'get structured trend data' — retrieval and analysis operations. It 'uses OSSF Scorecard API and GitHub Archive for historical context' to fetch and present security metrics.

Questions about ossf_scorecard_trend_analyzer

What does the ossf_scorecard_trend_analyzer tool do? +

As a CTO, analyze OSSF Scorecard trends for your top 10-50 dependencies to identify security regressions or deteriorating project health. Input GitHub repository names (owner/repo), get structured trend data including score deltas, check failures, and risk flags. Uses OSSF Scorecard API and GitHub Archive for historical context. Ideal for proactive dependency management and risk assessment. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.

What parameters does ossf_scorecard_trend_analyzer accept? +

ossf_scorecard_trend_analyzer accepts 4 parameters: async, lookbackDays, repositories, minScoreThreshold. Required: repositories. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on ossf_scorecard_trend_analyzer? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for ossf_scorecard_trend_analyzer: 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.

What risk level is ossf_scorecard_trend_analyzer? +

ossf_scorecard_trend_analyzer is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit ossf_scorecard_trend_analyzer? +

Yes. Add a rate_limit block to the ossf_scorecard_trend_analyzer 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.

How do I block ossf_scorecard_trend_analyzer completely? +

Set action: deny in the PolicyLayer policy for ossf_scorecard_trend_analyzer. 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.

What MCP server provides ossf_scorecard_trend_analyzer? +

ossf_scorecard_trend_analyzer 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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