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229,458 tools. Last updated 2026-06-24 06:30

"Querying Elasticsearch (ES)" matching MCP tools:

  • Retrieve Elasticsearch index aliases with optional name filtering, enabling precise alias management and querying. Integrates with the octodet-elasticsearch-mcp server for streamlined operations.
    MIT
  • Lists Elasticsearch indices matching a specific pattern to help users discover and access available data collections for querying and analysis.
    Apache 2.0
  • Retrieve all indices from an Elasticsearch cluster to view available data collections for querying and management.
  • Get summary statistics of Klever VM knowledge base, including total entries and counts by context type, to understand available knowledge before querying.
    MIT

Matching MCP Servers

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    Enables querying Elasticsearch logs from AI assistants using natural language, with optional SSH tunnel support.
    Last updated
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    Provides specialized analytics tools for querying VSee's Elasticsearch stats-\* indices, including account/group metrics, visit trends, platform breakdowns, rating distributions, and subscription tier analysis.
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    MIT

Matching MCP Connectors

  • INE Spain (Instituto Nacional de Estadística) Tempus3 JSON API MCP.

  • datos.gob.es — Spanish open-data catalogue

  • List all geospatial datasets available for querying, including pre-loaded public datasets (US states, counties, ZIP codes) and your custom uploads. Use dataset IDs for other spatial query tools.
    MIT
  • List available architecture modules with IDs, titles, and key concerns to identify relevant knowledge before querying specific modules.
    MIT
  • Search and filter stored Google Maps business data using criteria like category, location, rating, and review count. Get sorted results for analysis.
    MIT
  • Retrieve detailed metadata for a collection: description, extent, properties, and links. Use this before querying to understand available attributes.
    MIT
  • 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
  • Retrieve and display all available Elasticsearch indices to manage and interact with data stored in Elasticsearch through the MCP server.
    Apache 2.0
  • Retrieve field mappings for a specified Elasticsearch index to understand its structure and data organization within the Elasticsearch MCP Server.
    Apache 2.0
  • Search GROWI wiki pages using Elasticsearch to retrieve relevant content from your organization's knowledge base.
    MIT
  • Retrieve all views in the connected SQLite database to explore available views or verify a view exists before querying.
    MIT
  • Check the local email index's row count, last sync timestamp, schema version, and folder coverage to ensure freshness before querying. If the index is empty or stale, sync emails first.
    MIT
  • Discover available Elasticsearch indices along with health, status, document count, and storage size. Use this to find index names before searching or aggregating logs.
    MIT
  • Generate per-token glosses into EU languages (EN, FR, ES, DE, IT, PT) from a source sentence. Uses sentence translations for context.
    Apache 2.0
  • Retrieve comprehensive metadata for Salesforce objects including fields, relationships, picklist values, and record types to understand structure before querying or writing data.
    MIT