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649,985 tools. Updated 2026-10-11 03:40

"How to send queries to an Elasticsearch cluster" matching MCP tools:

  • Retrieve and display all available Elasticsearch indices to manage and interact with data stored in Elasticsearch through the MCP server.
    Apache 2.0
  • Query Elasticsearch indices using query DSL with enabled highlights. Connect and interact with Elasticsearch data via the Elasticsearch MCP Server for precise search results.
    Apache 2.0
  • Search pages in your GROWI wiki using Elasticsearch queries. Specify path, limit, and offset to refine results.
    MIT
  • Start a background job that proposes cluster groupings for up to 500 tracked queries in fill_gaps, add_on_top, or full_regroup mode; review before applying.
    MIT
  • Run ES|QL queries on Elasticsearch to filter, aggregate, and sort data. Returns results with column metadata and row objects.
    ISC

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Sends document files (EPUB, PDF, DOCX, etc.) to your Kindle via email using Amazon's Send to Kindle feature.
    1
    8 npm
    MIT

Matching MCP Connectors

  • Remote MCP server for converting PDFs and scanned documents to Markdown with OCR, and Markdown to PDF. Provides asynchronous conversion jobs, result retrieval, and usage checks; requires a PDF to MD API key.

  • Extract structured JSON from any document: invoices, receipts, contracts, purchase orders, bills. Auto-detects type and returns vendor, customer, line items, totals.

  • Execute PromQL queries to retrieve and analyze cluster metrics from Prometheus, supporting instant and range queries with automatic endpoint discovery.
    Apache 2.0
  • Check Elasticsearch connection health, returning status, URL, and cluster details to confirm server availability.
    MIT
  • Count declassified UAP records by decade or year to see how sightings cluster over time from 1944 to 2026.
    MIT
  • Verify Elasticsearch connectivity and retrieve cluster basics to confirm the service is reachable before diagnosing log incidents.
    MIT
  • Query an Elasticsearch or OpenSearch index with a Query DSL body, including counting matches and running aggregations.
    MIT
  • Break down a project's rank-tracking metrics by keyword cluster over a date window, showing positions, share of voice, and sentiment to compare cluster performance.
    MIT
  • Query Elasticsearch indexes using Query DSL to retrieve matching documents and aggregations.
    ISC
  • Retrieves cluster name, Elasticsearch version, and build flavor to identify which query DSL features are available.
    MIT
  • Establishes connection to an Elasticsearch cluster using environment variables, returning connection status and cluster information.
    Apache 2.0