"Elastic Stack" matching MCP servers:

A Model Context Protocol server for Elasticsearch, enabling search, index inspection, and cluster information tools with optional write tools.

Provides AI assistants with access to materials science databases, enabling search and analysis of material properties, crystal structures, phase diagrams, and elastic properties through the Materials Project API.

Provides comprehensive tools for managing Elasticsearch clusters, including security management, search operations, and index administration. It enables users to monitor cluster health, handle InfoSec tasks, and execute complex queries using Elasticsearch Query DSL and ES|QL.

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 token-efficient MCP server for MySQL, PostgreSQL, and SQLite, providing tools to query databases, execute SQL, and analyze query performance.

Connects LLMs to Elasticsearch with a Semantic-to-Lexical layer that translates technical field names into business knowledge, enabling autonomous querying without hardcoded domain logic.

Build on the Flarelink stack — Cloudflare auth (better-auth + KV sessions), D1, and R2 — from AI coding tools. Provides copy-paste code patterns and scaffolding that need no account, plus project-management tools (list/query your projects, D1 databases, and R2 buckets) gated by a Flarelink API key.

Enables answering statistical questions about a large Goodreads dataset in BigQuery using aggregate-only tools, with built-in guards and caveats that prevent users from getting misleading numbers from known data defects.

A server implementing Model Context Protocol that enables LLMs to interact with the ZenML platform, providing access to pipeline data, stack information, and the ability to trigger new pipeline runs.

Enables AI agents to perform full-stack cloud operations across Alibaba Cloud and Tencent Cloud, including server management, project deployment, database queries, file operations, instance lookups, and DNS/CDN management through 26 tools.

Enables AI systems to perform full-text and semantic search operations over structured/unstructured data in Azure Cognitive Search, with capabilities for document indexing and management through natural language.

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

An MCP server that analyzes stock trading volume to identify significant price levels (volume walls), supporting features like order book data fetching, trade analysis, and volume distribution tracking.

MCP server that syncs and queries comprehensive stock data (quotes, financials, dividends, analyst forecasts, options, news) from Yahoo Finance and Investing.com into an external MySQL database.

Enables read-only auditing of product, lot, location, and stock-movement history in Tryton 6.x, transforming natural-language questions into structured investigations with movement states, lots, shipments, locations, and diagnostic balances.

A Model Context Protocol server that provides access to Aiven services (PostgreSQL, Kafka, ClickHouse, Valkey, OpenSearch), enabling LLMs to build full stack solutions by interacting with these services.

Enables interaction with Aiven cloud services including PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch. Allows LLMs to list projects, services, and retrieve service details to build full-stack solutions across the Aiven ecosystem.

Provides access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey and OpenSearch services, enabling LLMs to build full stack solutions by interacting with the Aiven ecosystem.

This read-only MCP Server allows you to connect to Slack data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Exposes four tools that let any MCP client summarise the schema, inspect individual types, and run GraphQL queries, with mutations refused unless explicitly enabled at startup. It serves over stdio or streamable HTTP and shares a guarded executor enforcing single-operation, timeout, and size limits.