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337,950 tools. Last updated 2026-07-30 03:22

"Tools or methods to help determine a technology stack" matching MCP tools:

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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

Matching MCP Connectors

  • Outcome-based infrastructure for agents — verified AWS deployments, metered billing

  • Command your AI agents: verifiable passports, credential injection, full audit, revoke in 60s.

  • Discover and navigate virtualization tools with a consolidated help interface. List tools, view detailed info, schemas, or get general help for server operations.
    MIT
  • Check compatibility between developer tools to validate your stack and identify integration conflicts before implementation.
    MIT
  • Retrieve detailed firmographics for a company including industry, employee count, revenue, funding, technology stack, and headcount growth. Provide domain, name, website, or LinkedIn URL.
    Apache 2.0
  • Browse popular technology tags to filter developer tools by frameworks, languages, or deployment methods. Discover granular filters like react, rust, or self-hosted to narrow search results within categories.
    MIT
  • Detect a company's technology stack by analyzing HTTP headers, DNS records, and GitHub repositories. Input a domain name to get frameworks, programming languages, hosting providers, analytics tools, and CDNs.
    MIT
  • Audit a technology stack for exploitable vulnerabilities. Accepts a comma-separated list of technologies (max 5) and returns risk-sorted critical/high severity CVEs with public exploits.
    MIT
  • Discover valid technology identifiers for stack recommendations by listing available tech IDs across categories like frontend, backend, and databases.
    MIT
  • Retrieve portfolio projects from Sai Chintamani's portfolio. Filter by technology stack such as React or FastAPI.
    MIT
  • Analyze project directories to identify technology stacks, including runtime environments, frameworks, databases, and frontend components.
    ISC
  • Identify the technology stack of desktop applications, including SDKs, frameworks, and dependencies across macOS and Windows platforms.
    MIT
  • Analyze JFR recordings to identify hot methods by counting exclusive leaf stack samples. Pinpoint the most frequently executed code paths in your Java application.
    MIT
  • Get free technology stack recommendations for software projects by specifying project type and scale. Uses deterministic scoring across 30+ technologies to identify optimal options.
    MIT
  • Determine if your protected content was used to train a suspect AI model by running membership inference with watermark detection and statistical analysis methods.
    MIT