Elasticsearch MCP server for secure AI enterprise search access
Connect your AI agents to Elasticsearch with enterprise-grade governance, observability, and control through MintMCP Gateway.
Find documentation on how to connect MCP servers to AI clients.
I found relevant documentation in your knowledge base:
Tools included with Elasticsearch MCP
search
Perform Elasticsearch searches using query DSL for flexible document retrieval.
esql
Execute Elasticsearch ES|QL queries for advanced data analysis.
list_indices
List all available Elasticsearch indices in your cluster.
get_mappings
Retrieve field mappings for specific Elasticsearch indices.
get_shards
Get shard allocation and health information for indices.
Works with every major client
ClaudeChatGPT
Copilot
Cursor
Gemini
Goose
LibreChat
Open WebUI
WindsurfWhy MintMCP gateway
Centralized governance
Unified authentication, audit logging, and rate control for all Elasticsearch MCP connections.
One-click deployment
Instantly enable Elasticsearch MCP for AI teams via MintMCP's standardized gateway without manual server setup.
OAuth + SSO enforcement
Automatic enterprise authentication wrapping for Elasticsearch MCP endpoints.
Host stdio servers on MintMCP instead of running locally
Containerized servers become accessible to clients like ChatGPT without local installations. Better risk management and security posture without requiring users to run servers on their machines.
Observability and control
Real-time dashboards for monitoring usage, detecting anomalies, and maintaining SLA compliance.
Enterprise hardening
High availability, security, and compliance alignment transform MCP from developer utility to production-grade infrastructure.
Supports shared and per-user auth
Flexibility to configure service accounts at the admin level or enable individual OAuth flows. Secrets remain protected while users gain access, with centralized revocation capabilities.
Granular tool access control
Configure tool access by role. For example, enable read-only operations and exclude write tools like create and delete.
Use cases
HR teams
Build AI-accessible knowledge bases from company documentation, policies, and training materials stored in Elasticsearch for instant employee assistance.
Product teams
Enable AI-powered customer-facing documentation search and contextual help systems using Elasticsearch product knowledge bases.
Support teams
Empower AI agents to search historical support tickets, resolution patterns, and help articles in Elasticsearch for faster customer issue resolution.
What can you do with Elasticsearch MCP?
AI-powered knowledge base search
Organizations deploy AI agents that query Elasticsearch knowledge bases to provide instant, contextually relevant answers from internal documentation, reducing information retrieval time from minutes to seconds.
Support ticket intelligence
Support teams leverage AI agents to search historical ticket data and resolution patterns in Elasticsearch, enabling faster diagnosis and providing data-driven recommendations for current customer issues.
Log analysis and troubleshooting
Engineering teams use AI agents to perform semantic searches across application logs stored in Elasticsearch, identifying error patterns, system anomalies, and correlating issues across distributed services.
FAQs
Yes. MintMCP Gateway is SOC 2 compliant and uses OAuth-based authentication for all Elasticsearch MCP interactions.
Ready to connect Elasticsearch to your AI agents?
Join enterprises that trust MintMCP Gateway to manage their Elasticsearch AI integrations securely and efficiently.