"Elastic Stack" matching MCP servers:

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

A read-only MCP server that gives AI assistants natural language access to Elasticsearch/Kibana logs for querying and analysis.

MCP server for searching Stack Overflow questions and retrieving answers with body content, supporting advanced filters and multiple transport types.

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.

The complete open-source SEO data stack for AI agents, integrating Google Search Console, Google Analytics 4, Bing Webmaster Tools, and Microsoft Clarity with built-in analyst tools like cannibalization check, low-hanging fruit, and content gap analysis, all self-hosted and free.

A Model Context Protocol server that exposes Sonarr, Radarr, Lidarr, and Jellyfin to any MCP client through a curated tool layer for LLM consumption.

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.

A drop-in replacement for mcp-memory-duckdb with full concurrent access support using Redis Stack. Enables persistent knowledge graph storage with full-text search and multi-session concurrent access.

A machine-readable FOSS registry and zero-latency MCP server for AI coding agents to search free and open-source software alternatives to commercial tools, with capabilities to find replacements, get app details, and search by query.

An MCP server that provides a unified query layer over terminology, SEO/GEO analytics, and company facts, enabling Claude Code to access and reason over data previously scattered across JSON files and reports.

An MCP server for the Servarr stack — Sonarr, Radarr, Lidarr, Readarr, and Prowlarr — packaged as a Docker container. Lets an MCP client (Claude Desktop, etc.) browse and search whichever \*arr apps you're running.

A self-hosted, read-only Slack MCP server that runs locally and provides read-only access to Slack channels, messages, and users via the Slack Web API, with no third-party intermediary.

MCP Server for Korean stock analysis

Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.

An MCP server for semantic search and retrieval of indexed Slack messages stored in Qdrant using Cohere reranking via AWS Bedrock. It enables users to search through Slack history, retrieve full message threads, and access channel or user statistics through natural language.

Enables AI agents to interact with Slack using a user token, providing full access to message search, channel history, DMs, and posting as the user.

MCP server to manage your *ARR media stack (Radarr, Sonarr, Lidarr, Readarr, Prowlarr) for searching, adding, and managing movies, TV shows, music, books, and indexers.

Enables natural language queries for stock market data via the Rice Business Stock Market Data Portal, with Rice University email verification for access control.

Connects to vibe-code-best-practices.vercel.app to index 817 tools across 185 sections and 10 domains, routes the right tool/Skill for your project need, and can recommend a full stack.