"How to write a query in Elasticsearch" matching MCP servers:

Enables AI assistants to search, analyze, and interact with Elasticsearch through natural language.

Read/write Elasticsearch mcp server with many tools

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.

A read-only MCP server for Elasticsearch 7.10 clusters, providing tools for cluster info, health, index listing, and Query DSL search with Google OAuth and Bearer token authentication.

Enables secure and efficient interaction with Elasticsearch clusters through the Model Context Protocol, providing tools for data management, search, and export.

Provides tools for Chinese character stroke order animation with tracing practice and real-time weather queries for major cities.

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.

An MCP server for Dart AI task management that enables bulk operations using DartQL selectors to minimize token usage and context rot. It provides tools for batch updates, task and document CRUD, and safe CSV imports with integrated dry-run capabilities.

Facilitates interaction with Elasticsearch clusters by allowing users to perform index operations, document searches, and cluster management via a Model Context Protocol server and natural language commands.

Enables AI assistants to make real in-place edits to Google Drive files—preserving file IDs, revision history, comments, and sharing—while also supporting appends, targeted find-and-replace, reads, searches, and file creation.

Provides persistent, intelligent memory using Elasticsearch with hierarchical categorization and semantic search for LLM contexts.

An MCP server that enables AI assistants to directly interact with Elasticsearch for searching, aggregating, and retrieving documents from indices, supporting full-text search, semantic search, and various query modes.

Token-efficient Figma MCP server with image export, query DSL, and design token support.

Enables querying and comparing products from MM's retail (B2C) and wholesale (B2B) platforms in Vietnam, including price comparisons, stock availability checks, and multi-store support with Vietnamese language integration.

Enables authorized users to manage Google Ads accounts through natural language, with guardrails like role tiers, account allowlists, spend limits, and two-step confirmations to prevent accidental changes.

Read-only MCP server that converts Elasticsearch logs into citable evidence for AI agents, offering deterministic log summarization and search tools.

MCP server for amazon.in — cheapest in-stock, best-value picks, and price history links.

Enables AI assistants to search arXiv papers, retrieve metadata, browse categories, and read paper text.

Enables querying GoldSrc game servers (e.g., Half-Life, Counter-Strike 1.6) for server info, player lists, rules, and RCON commands.