Skip to main content
Glama
457,291 tools. Updated 2026-08-14 12:10

"Using a search engine to find evidence to answer a question" matching MCP tools:

  • Fetch a public HTTPS URL and answer a specific question about its content with cited evidence. Use for precise queries like refund policies or delivery terms.
    MIT
  • Search the web for a query and retrieve up to 10 SERP results including title, URL, snippet, engine, and score. Use snippets to answer simple questions; call the scrape tool separately for full page content.
    Inno Setup
  • Recall relevant memories to answer a question, using an LLM to produce a grounded response with citations, or review the memory context yourself.
    MIT
  • Answer factual questions from a shared knowledge graph, grounded in evidence with citations. Abstains when the graph lacks knowledge.
    MIT
  • Create an AI conversation by sending a question to models like GPT-4, DeepSeek, Grok, or GLM, and get the answer. Provide a conversation ID to continue an existing dialogue.
    MIT

Matching MCP Servers

Matching MCP Connectors

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Convert any public webpage to a PDF. Single narrow tool, not a bloated PDF toolkit.

  • Send a question to a specific peer and wait synchronously for their answer. Use a timeout to control wait duration.
    MIT
  • Answer a research question using live web sources, returning a synthesized answer with organized citations and source links.
    Apache 2.0
  • Search the web, fetch top pages, summarize content, and synthesize findings to answer a research question.
    MIT
  • Search the TouchDesigner wiki to find passages that answer your question, with citations. Filters by operator family and handles exact names or paraphrased questions.
    MIT
  • Answer a natural-language question using retrieved memories, returning a concise synthesized answer with confidence and sources. Supports point-in-time recall and payload filters.
    Apache 2.0
  • Answer a question with a cited, verified response by planning retrieval, synthesizing evidence, and self-critiquing for accuracy.
    MIT
  • Ask any question and receive an AI-generated answer that automatically searches the web when needed.
    MIT
  • Ask the user a drill question and return their answer, supporting spaced retrieval practice in a structured learning session.
    MIT
  • Pose any question to an AI that automatically searches the web when needed to provide a synthesized answer.
    MIT
  • Performs deep multi-engine search with waterfall verification and returns structured results plus a synthesis prompt for the agent to derive its own answer.
    Apache 2.0