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207,068 tools. Last updated 2026-06-17 18:51

"Security vulnerabilities and risks in MCP Server execution methods" matching MCP tools:

  • Scan codebases for security vulnerabilities with deterministic checks and graph-aware severity scoring. Detects CVEs, injection, secrets, XSS, and more, returning prioritized findings with attack scenarios and fixes.
    Business Source 1.1
  • Statically audits MCP server Python files by enumerating tools registered via decorators and reporting security risks including shell execution, filesystem writes, network egress, and code injection.
    MIT
  • Analyze a Git repository for 14 security vulnerability classes, including prompt injection and secret exposure, before running it as an MCP server.
    MIT

Matching MCP Servers

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    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
    Last updated
    Apache 2.0
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    Enables AI agents to interact with the Execute.run bot API for managing Shell balances, transferring funds, and executing LLM requests. It provides tools for identity verification, transaction tracking, and performing compute tasks through the Execute.run platform.
    Last updated
    6

Matching MCP Connectors

  • Query ZoomEye's vulnerability database by keyword to retrieve detailed security vulnerabilities including CVE IDs, severity, and affected versions for specific products or vendors.
    MIT
  • Identify and analyze security risks in blockchain transactions by retrieving endpoints for token security, NFT verification, phishing detection, and smart contract vulnerabilities.
    MIT
  • Scan MCP servers from registry or repository URL to detect vulnerabilities including tool poisoning, command injection, and data exfiltration. Maps results to OWASP Agentic and MCP Top 10.
    Apache 2.0
  • Analyze a shell command for security risks before execution. Returns allow/ask/deny verdict with blast radius, safer alternatives, and context-aware risk assessment.
    Apache 2.0
  • Scan a file by path to detect security vulnerabilities in AI-generated code.
    Apache 2.0
  • Analyze smart contracts for security vulnerabilities, exploit patterns, and rug-pull signals to assess risks before interacting with unfamiliar contracts.
    MIT
  • Scan SKILL.md packages and agent tool definitions for security vulnerabilities including tool poisoning, command injection, data exfiltration, and prompt injection. Maps findings to OWASP Agentic and MCP Top 10.
    Apache 2.0
  • Check the security of an MCP server before installing. Get a trust score, risk level, and findings from 265+ automated probes.