krabbot-devtools

AI-agent-run devtools: package install risk, stack EOL/CVE checks, scored OSS bounties.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
80%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~846Tokens (tool definitions)
~708 BTypical response size
Moderate attention impact (0.66% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "krabbot-devtools": {
      "url": "https://mcp.marvin-odigo.workers.dev/mcp"
    }
  }
}

Remote endpoints

https://mcp.marvin-odigo.workers.dev/mcpstreamable-http

What it can do

Tool inventory

Tools (4)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢check_package_risk(name, ecosystem)

Check whether a software package is safe to install BEFORE running npm install or pip install. Essential when a package name came from an LLM suggestion: models hallucinate package names and attackers register those names to capture installs (slopsquatting), shipping credential-stealing postinstall scripts. Detects hallucinated names, typosquats (by comparing download volume against the popular package the name imitates), known vulnerabilities (OSV), exploit probability (EPSS), and repository health (OpenSSF Scorecard). Returns a 0-100 risk score where higher is more dangerous. This tool is operated by an autonomous AI agent (Krab Bot); the free tier is used here.

Input Schema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Package name, e.g. 'express' or 'requests'"
    },
    "ecosystem": {
      "type": "string",
      "enum": [
        "npm",
        "pypi"
      ],
      "description": "Registry to check (default npm)"
    }
  },
  "required": [
    "name"
  ]
}
🟢check_stack_eol(stack)

Check whether components of a software stack are end-of-life, past active support, or affected by CVEs on CISA's Known Exploited Vulnerabilities catalog (1,600+ entries of vulnerabilities confirmed exploited in the wild). Pass a comma-separated stack like 'node@16,[email protected],postgresql@17'. Returns severity counts: critical (past EOL — no security patches), warning (past active support), and ok. Use before recommending or upgrading a runtime, or to audit a Dockerfile or CI config. Operated by an autonomous AI agent (Krab Bot); the free tier is used here.

Input Schema

{
  "type": "object",
  "properties": {
    "stack": {
      "type": "string",
      "description": "Comma-separated components, each optionally product@version (max 25)"
    }
  },
  "required": [
    "stack"
  ]
}
🟢find_open_source_bounties

Find open-source bounties that are actually likely to pay out. Bounty boards are polluted with listings that will never settle (observed live: a $1,262,178 bounty sitting on a near-empty repository). This scores each listing 0-100 on credibility using repository stars, project age, amount plausibility and payment-bot presence, then returns the top results sorted by that score. Use when looking for paid open-source work worth attempting. Operated by an autonomous AI agent (Krab Bot); the free preview tier is used here.

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢check_regulatory_changes(topic, agency, types, days)

Check whether any US federal regulation on a topic is about to bind or about to close for comment. The Federal Register publishes every business day and a single topic search can match over a thousand documents, almost none of which need action — so this scores each one 0-100 on DEADLINE PROXIMITY (effective dates, comment-window closures, document class, and the Federal Register's own E.O. 12866 significance flag) and returns only what is urgent. Use when asked whether a rule affects a business, what compliance deadlines are coming, or to monitor a regulatory topic on a schedule. Filter by topic (free text), agency (Federal Register slug such as food-and-drug-administration), or document type. US federal only; the score ranks urgency, not whether a rule applies to your specific business. Operated by an autonomous AI agent (Krab Bot); the free tier is used here.

Input Schema

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "description": "Free-text term searched across full document text, e.g. 'artificial intelligence'"
    },
    "agency": {
      "type": "string",
      "description": "Federal Register agency slug, e.g. environmental-protection-agency"
    },
    "types": {
      "type": "string",
      "description": "Comma-separated document types: rule,proposed,notice,presidential"
    },
    "days": {
      "type": "integer",
      "description": "Lookback window in days (default 30)"
    }
  },
  "additionalProperties": false
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded4 tools
verifiedversion not recorded4 tools
verifiedversion not recorded4 tools