"Querying Elasticsearch (ES)" matching MCP servers:

Connects Claude and other MCP clients to Elasticsearch data, allowing users to interact with their Elasticsearch indices through natural language conversations.

This is an elasticsearch mcp server developed based on sprint ai.

Provides translation tuning by adjusting model output for naturalness, tone, and script per language pair, supporting en-jp and en-es.

Read-only MCP server for querying ClickHouse (product telemetry) and Elasticsearch (download analytics), built for Percona VISTA.

Enables LLM agents to search and retrieve a hybrid knowledge base of manuals, videos, PDFs, DOCX files and images through tools for hybrid BM25-plus-vector search with facet and tag filters, full document retrieval, semantically similar document lookup, and timestamped video transcript segments. It ships with an in-memory backend for instant local use and an identical Elasticsearch backend for production deployment over stdio or authenticated HTTP.

Enables any MCP-compatible agent to query, diagnose, map, and operate Elasticsearch or OpenSearch clusters via REST, with read-only defaults and layered safety controls.

Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.

An MCP server that enables interaction with Elasticsearch and OpenSearch clusters for searching documents and managing indices. It provides tools for cluster health monitoring, index configuration, and general API requests.

Enables AI assistants to interact with Kibana dashboards, visualizations, and Elasticsearch data through read-only resources and executable tools for searching logs, exporting dashboards, and querying data.

Connects to Elasticsearch databases using the Model Context Protocol, allowing users to query and interact with their Elasticsearch indices through natural language conversations.

Connects to Elasticsearch clusters through the Model Context Protocol, enabling natural language querying and management of Elasticsearch data. Provides tools to search indices, list available indices, and retrieve index mappings.

A JavaScript ES Modules server that provides weather information including alerts and forecasts for US locations using the National Weather Service API.

Enables AI agents to search and retrieve datasets, publishers, and themes from Spain's national open-data catalogue through keyless MCP tools or HTTP endpoints.

Enables comprehensive interaction with Elasticsearch APIs through natural language queries, specifically optimized for security analysis, threat detection, incident investigation, and compliance monitoring with advanced machine learning capabilities for anomaly detection.

Enables AI to automatically diagnose bugs by querying logs, tracing call chains, and analyzing code across multiple log platforms like Elasticsearch and Loki.

Enables MCP-compatible AI clients to search and retrieve Elasticsearch application logs through a provided search tool.

Persistent, searchable archive and memory for Claude and ChatGPT. Native macOS MCP server, install from the App Store, no setup. Private, local and open source.

Provides tools to query Elasticsearch indices, retrieve mappings, execute searches, and get cluster health stats.

Enables read-only interaction with Elasticsearch, supporting listing indices, retrieving mappings, and executing search/aggregation queries via MCP.

Enables Claude Desktop to connect directly to Elasticsearch clusters for intelligent log analysis through natural language queries. Users can ask questions about their logs in plain English and get actionable insights without writing complex Elasticsearch queries.

A Model Context Protocol server that enables LLMs to interact with Elasticsearch clusters, allowing them to manage indices and execute search queries using natural language.

Ultra-fast, memory-efficient Rust implementation of the Filesystem MCP server with bounded IO, regex search, and optional terminal execution.

Enables natural language querying of SQL databases by allowing the agent to explore schema, write SQL, and self-correct errors. It integrates with MCP-compatible assistants like Claude Desktop or Cursor.

Provides AI assistants with three web operations—search, fetch, and answer—through pluggable search providers including paid APIs, free tiers, self-hosted SearXNG, or keyless defaults. Enables querying with domain and recency filters, extracting page text or matching passages from URLs, and generating cited answers across multiple sources.

Enables read-only SQL querying and exploration of data files (CSV, Parquet, JSON, Excel, etc.) via DuckDB, supporting local paths, globs, URLs, and S3 buckets.

Enables natural-language querying and analysis of an e-commerce SQLite database via MCP, with read-only SQL execution, table inspection, and AI-generated answers.

Enables AI agents to interact with Jupyter notebooks via MCP tools for querying, modifying, executing, and setting up notebooks, with state preservation and real-time collaboration.

Look up Polish companies from any AI assistant: registry data (KRS, REGON, CEIDG), VAT white list checks before payments, and financial statements of 4.4M businesses. Read-only tools backed by official public registers.

Gives AI agents structured, typed access to Canadian open data through a single server covering Statistics Canada tables, Census and public use microdata, the Bank of Canada, CMHC, federal agencies and federal, provincial, territorial and municipal open-data portals, in English and French. It offers roughly 200 tools for querying, planning multi-source queries, and generating reproduction code in R, Python, Stata or Julia.

Enables querying over 3,200 Dutch statutes (AVG, Wetboek van Strafrecht, Burgerlijk Wetboek, etc.) with verbatim, citation-grounded text from official sources, directly from MCP-compatible AI assistants.