AI Agent for OpenSearch MCP Server
Integrate your AI assistants and language models seamlessly with OpenSearch clusters using the OpenSearch MCP Server. This robust solution enables standardized search, index management, and cluster monitoring via the Model Context Protocol (MCP), supporting both stdio and real-time streaming protocols. Benefit from built-in tools, secure authentication, and easy compatibility with Claude Desktop, LangChain, and more.
Comprehensive Search & Index Management
Empower your AI stack with advanced OpenSearch operations. Effortlessly list, map, and search indices using built-in tools like ListIndexTool, IndexMappingTool, and SearchIndexTool. Optimize analytics and document retrieval with seamless AI model integration.
- Smart Index Search.
- Use SearchIndexTool to run advanced queries in OpenSearch with support for query DSL, enabling precise and efficient information retrieval.
- Comprehensive Index Listing.
- ListIndexTool provides full visibility into all indices, with detailed stats including document counts, deleted docs, and storage size.
- Index Mapping Insights.
- Quickly retrieve index mappings and settings using IndexMappingTool to understand your data structure and optimize usage.
- Multi-Search Capability.
- Execute multiple search operations in one request with MsearchTool for high-performance analytics workflows.
Real-Time Cluster Monitoring & Management
Monitor cluster health, optimize performance, and manage shards in real time. The OpenSearch MCP Server empowers your AI agents to keep your search infrastructure robust and reliable—ensuring optimal uptime and proactive troubleshooting.
- Cluster Health Insights.
- Utilize ClusterHealthTool for real-time visibility into cluster or index health, keeping operations running smoothly.
- Shard Management.
- GetShardsTool delivers granular insights into shard status and distribution to optimize resource allocation.
- Secure Authentication.
- Supports both basic authentication and IAM roles, ensuring data access remains secure across your AI workflows.
Flexible AI Integration & Extensibility
OpenSearch MCP Server is engineered for extensibility and easy integration. Connect with Claude Desktop, LangChain, and other AI frameworks. Leverage streaming protocols (SSE/HTTP) and contribute new tools to expand your search capabilities.
- Streaming & Stdio Protocols.
- Supports both streaming (SSE/HTTP) and stdio for real-time and batch operations, adapting to any AI deployment.
- Easy AI Integration.
- Plug into popular frameworks like LangChain and Claude Desktop for flexible, future-proof AI pipelines.
MCP INTEGRATION
Available OpenSearch MCP Integration Tools
The following tools are available as part of the OpenSearch MCP integration:
- ListIndexTool
Lists all indices in OpenSearch or returns detailed information about a specific index if provided.
- IndexMappingTool
Retrieves mapping and setting information for a specified index in OpenSearch.
- SearchIndexTool
Performs searches on an OpenSearch index using a query written in the Query DSL format.
- GetShardsTool
Gets detailed information about shards for a specified index in OpenSearch.
- ClusterHealthTool
Returns health information about the OpenSearch cluster or a specific index if provided.
- CountTool
Returns the number of documents matching a query in an index or across all indices.
- ExplainTool
Explains why a specific document matches or does not match a query in OpenSearch.
- MsearchTool
Executes multiple search operations in a single request using the multi-search API.
Connect Your OpenSearch with FlowHunt AI
Connect your OpenSearch to a FlowHunt AI Agent. Book a personalized demo or try FlowHunt free today!
What is OpenSearch
OpenSearch is a community-driven, open source search and analytics suite designed to make it easy for users to ingest, search, visualize, and analyze data at scale. Originating as a fork of Elasticsearch and Kibana, OpenSearch provides a robust, Apache 2.0-licensed platform with a suite of tools for full-text search, log analytics, observability, and security data analysis. OpenSearch supports a broad range of use cases, from powering search applications on websites to enabling advanced analytics for enterprise data. The platform is supported by a vibrant community of developers and organizations who contribute features, plugins, and integrations to enhance its capabilities, ensuring that it remains transparent, extensible, and future-proof.
Capabilities
What we can do with OpenSearch MCP Server
The OpenSearch MCP (Model Context Protocol) Server enables AI assistants and external agents to interact programmatically with OpenSearch clusters. This allows for advanced search, data retrieval, and analytics operations to be performed via AI or external tools, facilitating seamless integration and automation in data-rich environments.
- Real-time data search
- Perform fast, full-text and filtered searches across massive datasets.
- Automated data analysis
- Use AI agents to run complex queries and analyze results programmatically.
- Custom tool integration
- Connect external tools or agents to expand OpenSearch's capabilities.
- Secure access for AI
- Enable authenticated, secure connections for AI assistants to interact with clusters.
- Scalable architecture
- Easily handle large volumes of data and queries through OpenSearch's distributed nature.
How AI Agents Benefit from OpenSearch MCP Server
AI agents can leverage the OpenSearch MCP Server to automate and enhance data exploration, search, and analysis tasks. By connecting directly to OpenSearch clusters, agents can execute sophisticated queries, monitor data in real time, and deliver actionable insights without manual intervention. This integration streamlines workflows, boosts productivity, and empowers AI-driven decision making in any environment where large-scale data search and analytics are critical.