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136,059 tools. Last updated 2026-05-26 00:34

"Using another LLM for research purposes" matching MCP tools:

  • Search for academic research articles using Google Scholar to find relevant medical and scientific publications for research purposes.
    MIT
  • Retrieve relevant passages from your personal knowledge base and generate answers using a local LLM, keeping your data private.
    MIT
  • Transfer ownership of a Heroku app to another user or team. Input the app name and recipient details to move or reassign app ownership for organizational or user needs. Requires app owner or team admin permissions.
    Apache 2.0
  • Converts an amount from one currency to another using up-to-date exchange rates. Accepts ISO 4217 codes for 170+ fiat currencies and major cryptocurrencies.
    MIT

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  • UK property research tools - crime stats, schools, demographics, valuations for AI.

  • Evaluate LLM prompt quality before execution. Get instant grades (A-F), scores (0-40), and percentile rankings to predict performance. Free assessment tool supports domain-specific scoring for software, content, and business verticals.
    MIT
  • Find medical research articles in PubMed by entering a medical topic or condition to access relevant scientific literature for clinical or academic purposes.
    MIT
  • Edit files using natural language instructions. Specify file path and edit description; AI applies changes with options for review, context, backup, and dry run.
    Apache 2.0
  • Analyze memory pairs to detect supersessions where one memory updates another, then create supersedes edges, using neutral LLM classification.
    MIT
  • Aggregate and score Google search results from multiple related queries. Remove duplicates and return top relevant content for comprehensive research.
    Python
    MIT
  • Convert a datetime from one timezone to another with accurate DST and historical timezone handling using IANA tzdata.
    Apache 2.0
  • Extract structured data from web pages using LLM capabilities. Define specific information to retrieve with custom prompts and JSON schemas for organized output.
  • Use an LLM to extract structured fields from crawled pages. Define fields or let the LLM auto-discover by sampling. Results saved to extracted.jsonl. Ideal for competitive research, API analysis, and dataset creation.
  • Copy environment variables from one Railway environment to another for migration, configuration sharing, or duplication workflows.
    MIT
  • Extract structured data from web pages using LLM capabilities. Define specific information to retrieve like product details or pricing through custom prompts and schemas.
    MIT