Elasticsearch MCP server

Connect Elasticsearch to Claude, ChatGPT, Cursor, Claude Code, Codex, Gemini, GitHub Copilot and any other MCP client, for your whole team. Metorial adds security, governance, and tracing, and gives everyone one Magic MCP URL to connect.

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What you can do with the Elasticsearch MCP server

Ask your agent in plain language. Each of these maps to a real tool on the server.

  • Use the cluster health tool in Elasticsearch
  • Use the list indices tool in Elasticsearch
  • Use the get document tool in Elasticsearch
  • Use the bulk operations tool in Elasticsearch
  • Use the index document tool in Elasticsearch
  • Use the update document tool in Elasticsearch

Supported Tools

cluster_health

Cluster Health

Get the health status and key metrics of the Elasticsearch cluster including node count, shard allocation status, and pending tasks. Optionally include node-level statistics.

list_indices

List Indices

List all indices in the Elasticsearch cluster with their health status, document count, and storage size. Can also retrieve detailed information about a specific index including its mappings, settings, and aliases.

get_document

Get Document

Retrieve one or more known Elasticsearch documents by ID. This tool is for direct document ID lookups only; use search_documents for Query DSL searches, size limits, sorting, filtering, and unknown document discovery.

bulk_operations

Bulk Operations

Perform multiple index, create, update, or delete operations in a single API call. Much more efficient than individual requests when processing many documents.

index_document

Index Document

Create or replace a document in an Elasticsearch index. Provide JSON document content and optionally specify a document ID. If no ID is provided, Elasticsearch will auto-generate one. If an ID is provided and a document already exists with that ID, it will be replaced.

update_document

Update Document

Partially update an existing document in an Elasticsearch index. Supports partial document updates (merge fields) or script-based updates for more complex modifications. Unlike indexing, this only modifies specified fields without replacing the entire document.

manage_index

Manage Index

Create, configure, open, close, or delete an Elasticsearch index. Supports setting mappings, settings, aliases, and number of replicas/shards during creation. Can also update mappings and settings on existing indices.

search_documents

Search Documents

Search and query documents in Elasticsearch using the full Query DSL. Supports full-text search, term-level queries, compound queries, aggregations, sorting, pagination, and source filtering. Can target a specific index or search across all indices.

manage_watch

Manage Watch

Create, update, delete, execute, activate, or deactivate Watcher alerts. Watches monitor data changes by running scheduled queries and triggering actions (email, webhook, index, logging) when conditions are met.

manage_alias

Manage Alias

Create, delete, or list index aliases. Aliases provide alternative names for indices or groups of indices, enabling seamless index switching and multi-index queries.

graph_explore

Graph Explore

Discover relationships between terms in an Elasticsearch index. The graph explore API extracts and summarizes connections in your data, helping identify significant co-occurrences and related terms.

esql_query

ES|QL Query

Execute an ES|QL query to filter, transform, and analyze data stored in Elasticsearch. ES|QL provides a pipe-based query language for powerful data exploration and manipulation.

manage_snapshot

Manage Snapshot

Create, restore, delete, or retrieve snapshots and snapshot repositories for cluster backups. Snapshots allow you to back up indices and cluster state for disaster recovery.

reindex

Reindex

Copy documents from one index to another, optionally applying a query filter or transformations via a script. Useful for migrating data between indices, changing mappings, or applying pipeline processing to existing data.

run_inference

Run Inference

Execute a machine learning inference task using a configured inference endpoint. Supports text embedding, sparse embedding, reranking, completion, and chat completion tasks. Can also list, create, update, or delete inference endpoints.

manage_security

Manage Security

Manage Elasticsearch security resources including users, roles, and API keys. Create, update, delete, and list users and roles for role-based access control. Create and invalidate API keys.

delete_document

Delete Document

Remove a document from an Elasticsearch index by its ID. Returns the result of the deletion operation.

manage_pipeline

Manage Ingest Pipeline

Create, update, delete, list, or simulate ingest pipelines. Pipelines consist of processors that transform and enrich documents before they are indexed. Use simulate to test a pipeline against sample documents.

manage_index_template

Manage Index Template

Create, retrieve, list, or delete Elasticsearch composable index templates. Index templates define settings, mappings, and aliases that apply automatically when matching indices or data streams are created.

manage_async_search

Manage Async Search

Submit, retrieve, or delete an Elasticsearch asynchronous search. Use this for long-running Query DSL searches when partial results are useful or when results should be retrieved later by ID.

Connect Elasticsearch to your AI client

Every client uses the same Magic MCP URL, and so does any other MCP client. Add it once and sign in with SSO.

  1. Enable Elasticsearch in Metorial. In your Metorial portal, enable the Elasticsearch MCP server and sign in with the account that owns the data. Access stays governed by your team policies.
  2. Add a custom connector. Open Customize, then Connectors. Select Add, then Custom, then Web.
  3. Paste your Metorial MCP URL. Name it Metorial, paste your Magic MCP URL (<your-magic-mcp-url>) and continue.
  4. Sign in. Select Add and sign in to load Elasticsearch tools.

Run Elasticsearch through the Metorial gateway

One governed layer for every app your agents reach, not a separate connector per tool.

  • Give Elasticsearch and every other app to your whole team through one MCP gateway, behind your SSO.
  • Scope which teams and agents can use Elasticsearch tools with role-based access control, and trace every call.
  • Prefer to run it yourself? Metorial is open source and self-hostable.

More integrations teams use with Elasticsearch

Google Sheets

Create, read, and update spreadsheets and their cell data. Read and write values to individual cells, ranges, or multiple ranges using A1 notation or named ranges. Apply cell formatting including text styles, backgrounds, borders, number formats, and conditional formatting. Manage sheets (tabs) within a spreadsheet—add, delete, copy, rename, and reorder them. Create and manage embedded charts, pivot tables, filter views, data validation rules, protected ranges, named ranges, and merged cells. Perform batch operations to apply multiple updates atomically.

GitHub

Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.

Salesforce

Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.

Sharepoint

Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Resolve site users to numeric Person/Group LookupId values. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Retrieve site properties and search for sites across Microsoft 365.

Airtable

Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.

Google Drive

Upload, download, create, copy, move, rename, trash, and permanently delete files and folders in Google Drive. Search for files using complex queries filtering by name, MIME type, owner, modification date, labels, and other metadata. Share files and folders with specific users, groups, or domains with role-based permissions (owner, writer, commenter, reader). Manage shared drives and their members. Export Google Workspace files (Docs, Sheets, Slides) to standard formats like PDF, DOCX, and XLSX. Track file revision history and restore earlier versions. Create, read, update, and delete threaded comments and replies on files. Read label definitions and search files by label. Browse the Drive apps installed for your account. Store app-specific data in a hidden per-user folder.

Technical notes for Elasticsearch

Index, search, and analyze documents in Elasticsearch clusters. Create and manage indices with custom mappings and settings. Perform full-text search, structured queries, aggregations, and async search using Query DSL and ES|QL. Manage ingest pipelines to transform data before indexing. Run machine learning inference tasks including text embedding, reranking, completion, and anomaly detection. Monitor cluster health, node stats, and manage snapshots for backups. Configure cross-cluster replication and index lifecycle policies. Manage security including users, roles, API keys, and privileges. Explore graph relationships between terms. Set up Watcher alerts that poll data and trigger actions like emails or webhooks based on conditions.

Frequently asked questions

Common questions about connecting Elasticsearch to AI agents with Metorial.

  1. How many tools does the Elasticsearch MCP server have?
    The Elasticsearch MCP server exposes 20 tools, including Cluster Health, List Indices, Get Document. Each one is governed and traced through Metorial.
  2. Elasticsearch exposes tools your agents call on demand; it does not publish event triggers yet. Everything still runs through one governed MCP URL.
  3. Any MCP client, including VS Code, Windsurf, Zed, OpenCode and Grok. Each one reaches the Elasticsearch MCP server through the same Metorial URL.
  4. Use role-based access control to decide which teams, users, and agents can use Elasticsearch and which of its tools they can call.
  5. Yes. Metorial is open source, so you can run the Elasticsearch MCP server yourself or use the hosted gateway.

Connect Elasticsearch to production AI agents

See how Metorial gives your team governed access to Elasticsearch, with tracing and security controls built in.

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