Skip to main content
Glama
306,652 tools. Last updated 2026-07-25 19:02

"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
  • List insurance product categories in Kenya and view representative products. Uses synthetic data for educational and research purposes.
    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
  • Detect and correct hallucinations and fabricated facts in LLM-generated text using multi-channel verification (web search, NLI, cross-reference). Returns corrected output with structured diff.
    MIT
  • Send an A2A direct message to another agent using its bot_id. Returns a task ID for tracking replies.
    Apache 2.0

Matching MCP Servers

Matching MCP Connectors

  • Coordinate multiple AI agents over MCP: atomic claims, leases, shared ledger, handoffs, tasks.

  • Research GTM triggers: new NIH grants by PI/institution and new clinical trials by sponsor/phase.

  • 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
  • Transform stored engrams into structured meta-engrams using a 6-stage pipeline (structural analysis, clustering, alignment, formulation, hierarchy). Requires an LLM API endpoint.
    Apache 2.0
  • Search LinkedIn for professional profiles, company pages, and business content to support networking, recruitment, and research activities.
    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
  • Convert a datetime from one timezone to another with accurate DST and historical timezone handling using IANA tzdata.
    Apache 2.0
  • 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.
    MIT
  • Conduct deep research by aggregating results from multiple search backends, scoring by relevance, and removing duplicates.
    Python
    MIT