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633,640 tools. Updated 2026-10-03 14:57

"Quora" matching MCP tools:

  • Check current usage, remaining limits, and quota breakdown. Use to avoid unexpected blocks by proactively monitoring your plan status.
    MIT
  • Perform advanced Google searches to retrieve AI Overview, organic results, and related searches for off-Amazon market research and demand analysis.
    MIT
  • Identify which domains dominate AI-answer citations for a keyword, and check if a specific domain ranks among them. Reveals who wins AI search for a topic and how competitors compare.
    MIT
  • Analyze the structure of AI-cited answers for a keyword: list vs paragraph, opening length, sources cited. Learn what winning AI-search content looks like to get cited.
    MIT
  • View your API usage, daily limit, and plan name. Manage resource consumption and explore upgrade options for the database AI assistant.
    MIT
  • Execute read-only SQL SELECT queries against Postgres to retrieve data as JSON, with results capped at 1000 rows and schema-qualified table names required.
    MIT

Matching MCP Servers

  • F
    license
    Not graded
    quality
    D
    maintenance
    A Model Context Protocol server implementation that integrates with KeywordsPeopleUse for accessing keyword research features including People Also Ask questions, Google Autocomplete suggestions, Reddit/Quora questions, and semantic keywords.
    5
    -

Matching MCP Connectors

  • Search your brand's Reddit, X, LinkedIn, Quora and Hacker News mentions, and draft replies.

  • Per-agent rate limits and quota enforcement for the Hive A2A economy

  • List available database schemas (system schemas excluded) to discover which schemas exist before exploring tables and data.
    MIT
  • Scrape Google search results to reveal AI Overviews, organic listings, related searches, and competitor Shopping ads for off-Amazon demand and user pain points.
    MIT
  • Scrape Google SERPs to extract AI Overview, organic results, related searches, and sponsored ads for off-Amazon demand validation, competitor ad research, and user pain point discovery.
    MIT
  • Check live remaining quota percentages for Google Antigravity models. See Healthy, Low, or Depleted status for each model.
    MIT
  • Read the shared Codex quota snapshot to check remaining capacity before starting tasks. Uses cached data with enforced TTL and lease; callers cannot force refresh.
    MIT
  • Discover available database tables and views before writing queries. Optionally filter by schema to find relevant data sources.
    MIT
  • Retrieve a unified quota summary across all configured AI providers, with config errors reported per provider instead of halting the entire request.
    MIT
  • Get column names, data types, and nullability for any table to understand its schema before querying. Prevents mistakes from unknown table structures.
    MIT
  • Persist a redacted, resumable checkpoint of task progress in shared local state, capturing completed and pending items without credentials or full prompts.
    MIT