Elasticsearch MCP Server — 10 AI Tools

Elasticsearch MCP ServerElasticsearch MCP server with 10 ready-to-use AI tools. Connect Elasticsearch to Claude, ChatGPT, Gemini, or any MCP-compatible AI assistant. Cloud MCP connector — no install, no Docker, works from any browser.Category: Developer Tools. 10 tools available. Authentication: API Key.Search your data with questions, not Query DSLWhy Elasticsearch + AI?Elasticsearch holds your indexed data, but writing Query DSL and navigating Kibana for quick searches is time-consuming. Describe what you want to find in plain English and let AI build the query.Example prompts you can send your AI about Elasticsearch

Ask: "Find all documents with status "error" in the logs index from the last hour"
AI does: AI builds a bool query with a term filter and date range, executes the search, and returns matching documents.

Ask: "Is the cluster healthy? How many nodes and shards are active?"
AI does: AI checks cluster health, reports green/yellow/red status, node count, active shards, and any relocating or unassigned shards.

Ask: "Show the field mappings for the "events" index"
AI does: AI fetches the index mapping, lists all fields with their types, and highlights any custom analyzers.

Ask: "Which indices are using the most disk space?"
AI does: AI lists all indices sorted by storage size, showing document count, primary size, and total size with replicas.

Featured Elasticsearch Tools

search-documents: Search documents in an Elasticsearch index using Query DSL. Supports full-text search, filters, sorting, pagination, and aggregations. QUERY TYPES: "match": full-text search (e.g., {"match":{"message":"error timeout"}}). "term": exact match on keyword fields (e.g., {"term":{"status.keyword":"error"}}). "query_string": human-readable syntax (e.g., {"query_string":{"query":"status:error AND level:critical"}}). "bool": combine queries with must/should/must_not/filter. "range": numeric or date ranges (e.g., {"range":{"@timestamp":{"gte":"now-24h"}}}). "match_all": return all documents. PAGINATION: Use "from" (offset, default 0) and "size" (limit, default 10, max 10000). SORTING: e.g., [{"@timestamp":"desc"}]. AGGREGATIONS: Add "aggs" for analytics (terms, date_histogram, avg, sum, cardinality).

get-cluster-health: Get Elasticsearch cluster health status. Returns cluster status color (green/yellow/red), number of nodes, active primary shards, active shards total, relocating shards, initializing shards, unassigned shards, and pending tasks count. STATUS MEANINGS: green = all primary and replica shards assigned (healthy). yellow = all primaries assigned but some replicas missing (no redundancy, single node failure could lose data). red = some primary shards unassigned (data loss risk, URGENT). WHEN TO USE: User asks "is the cluster healthy?", "what is the cluster status?", "are there unassigned shards?", "how many nodes in the cluster?", "is Elasticsearch okay?", or any cluster health/status question. CRITICAL: If status is red, alert the user immediately — this means data may be unavailable or lost.

list-indices: List all Elasticsearch indices. Returns index name, health status (green/yellow/red), document count, deleted document count, primary storage size, and total storage size for each index. Supports wildcard filtering to narrow results to matching index patterns. WHEN TO USE: User asks "what indices exist?", "show me all indices", "how big is the logs index?", "how many documents in index X?", "list ES indices", or any index inventory/sizing question. EXAMPLES: All indices: omit pattern. Log indices only: pattern="logs-*". Indices for a date: pattern="*-2024.01.*". STEP-BY-STEP for exploring data: 1) list-indices (find index names), 2) get-mappings on the index (learn field names/types), 3) search-documents to query the data. NOTE: System indices starting with "." (like .kibana, .security) are included. These are internal Elasticsearch indices.

get-mappings: Get field mappings for an index. Shows field names, types (text, keyword, long, date, boolean, etc.), and analyzers. Essential for building search queries — use keyword fields for exact match (term), text fields for full-text search (match). Supports wildcards (e.g., "logs-*").

get-document: Get a single document by its ID from an index. Returns the full document source. Use search-documents to find document IDs if you don't know them.

get-cluster-info: Get basic Elasticsearch cluster information. Returns cluster name, cluster UUID, node name, Elasticsearch version number, Lucene version, build type, and minimum wire/index compatibility versions. Use this as your FIRST tool to verify connectivity and confirm the Elasticsearch version before running other operations. WHEN TO USE: User asks "is Elasticsearch running?", "what version of Elasticsearch?", "check ES connectivity", "what cluster am I connected to?", or any initial health/version check. STEP-BY-STEP for new cluster exploration: 1) get-cluster-info (verify version), 2) get-cluster-health (check status), 3) list-indices (see what data exists).

Frequently Asked Questions about ElasticsearchHow do I connect Elasticsearch to Claude or ChatGPT?Create a free LearnToSpeak.ai account, add your Elasticsearch credentials in the dashboard, and paste the generated OAuth URL into Claude.ai's custom connectors or ChatGPT's developer apps. The integration runs fully in the cloud — no desktop app, no CLI, no local install.Does it cost anything to connect Elasticsearch?The Elasticsearch integration is free during the LearnToSpeak.ai public beta. You only need a paid plan from Anthropic or OpenAI (Claude Pro/Max/Team or ChatGPT Plus/Pro/Team) since custom connectors require it on the AI provider side.Which AI assistants support the Elasticsearch connector?Claude.ai (Pro, Max, Team, Enterprise) and ChatGPT (Plus, Pro, Team) both support the Elasticsearch integration via the MCP (Model Context Protocol) standard. The same credentials work across both platforms — add the connector once, use it everywhere.How many Elasticsearch tools does my AI get access to?Your AI gets 10 ready-to-use tools for Elasticsearch, covering the most common read and write operations. Each tool is a discrete action the AI can call on demand — no multi-step prompting, no screen scraping, no workarounds.Is it safe to give an AI access to my Elasticsearch account?Yes. Your Elasticsearch credentials are encrypted at rest with AES-256-GCM and only decrypted in memory when the AI makes a request. LearnToSpeak.ai uses OAuth 2.1 with mandatory PKCE for the AI-to-platform connection, and you can revoke access instantly from the dashboard. We never store or log the actual tool responses returned to the AI.Why use LearnToSpeak.ai instead of running an MCP server locally?Cloud MCP servers work from any browser on any device — no Node.js install, no Docker, no local ports, no maintenance. Configure Elasticsearch once in the dashboard and your AI connects from claude.ai or chat.openai.com directly. That's the entire value proposition: web AI assistants don't read your filesystem, they read our servers.What is the Elasticsearch MCP server?The Elasticsearch MCP server is a cloud-hosted integration that gives AI assistants direct access to Elasticsearch through 10 tools via the Model Context Protocol (MCP) standard. It works with Claude, ChatGPT, Gemini, and any MCP-compatible AI — no local installation or Docker required.How do I connect Elasticsearch to Claude via MCP?Sign up at LearnToSpeak.ai, add your Elasticsearch credentials, and copy the generated MCP URL into Claude.ai's custom connectors (Settings → Developer → Custom Connectors). The cloud MCP server handles the connection — no CLI, no local server, no Docker.How do I connect Elasticsearch to ChatGPT via MCP?Sign up at LearnToSpeak.ai, add your Elasticsearch credentials, and copy the generated MCP URL into ChatGPT's developer apps (Settings → Apps → Advanced → Developer mode). Works with any ChatGPT Plus, Pro, or Team account.What can AI do with Elasticsearch through MCP?Elasticsearch offers 10 MCP tools covering Search documents, manage indices, and monitor cluster health in Elasticsearch. Ask your AI to perform any of these actions in natural language — it calls the right tool automatically.What is MCP (Model Context Protocol)?MCP is an open standard that lets AI assistants like Claude, ChatGPT, and Gemini connect directly to external apps and services. LearnToSpeak.ai hosts cloud MCP servers so you don't need to install anything locally — your AI connects from any browser.Related MCP Servers

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