Skip to main content
Glama
686,883 tools. Updated 2026-10-21 23:26

"Querying Elasticsearch (ES)" matching MCP tools:

  • Run ES|QL queries on Elasticsearch to filter, aggregate, and sort data. Returns results with column metadata and row objects.
    ISC
  • 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.
    -
  • Run a deep health probe across databases, Elasticsearch, embedding and LLM providers, and schedulers, returning status, components, queue, and scheduler details for production diagnostics.
    MIT

Matching MCP Servers

  • -
    license
    Not graded
    quality
    Not graded
    maintenance
    Enables querying Elasticsearch logs from AI assistants using natural language, with optional SSH tunnel support.
    -
  • A
    license
    A
    quality
    B
    maintenance
    MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana Console proxy when no direct ES URL is configured. Supports ApiKey auth (best for agents), Basic auth, and anonymous access. All 5 tools are read-only (readOnlyHint: true). Returns structured JSON (outputSchema).
    5
    100 PyPI
    MIT

Matching MCP Connectors

  • Find and inspect Virtual Observatory TAP services when no preset catalog fits. Search registry metadata, then review the selected service before querying it.
    MIT
  • Discover available datasets, metrics, attribution, and terms to learn what data exists before querying with Malja MCP.
    MIT
  • Retrieve account profile, limits and permissions, API key scope and expiry, plus es-python setup progress with the next step. Read-only check for MCP clients.
    MIT
  • Delete the cnreport-{year} Elasticsearch index and its metadata row for a specified year. Requires confirm=true to execute.
    MIT
  • Retrieve detailed metadata for a collection: description, extent, properties, and links. Use this before querying to understand available attributes.
    MIT
  • Lists supported Linux distributions, architectures, and Python versions for es-python installations, optionally filtered by an OS target such as ubuntu_24_04_x86_64.
    MIT
  • Retrieve field mappings for a specified Elasticsearch index to understand its structure and data organization within the Elasticsearch MCP Server.
    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
  • 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
  • Convert an Elasticsearch SQL SELECT into the equivalent Query DSL using _sql/translate without running it. Learn the query structure, then pass the DSL to run_query for control.
    Apache 2.0
  • 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
  • Add new fields to an existing index mapping in Elasticsearch. Requires confirmation and enables only additive changes, helping extend schemas without data loss.
    Apache 2.0
    Destructive