opensearch-mcp-server-py
The opensearch-mcp-server-py is a Model Context Protocol (MCP) server for OpenSearch that enables AI assistants to interact with OpenSearch clusters. It provides a standardized interface for AI models to perform operations such as searching indices, retrieving mappings, and managing shards through both stdio and streaming (SSE/Streamable HTTP) protocols. It allows seamless integration with AI assistants and LLMs, and supports secure authentication using basic auth or IAM roles.
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- OpenSearch MCP Server
- Installing opensearch-mcp-server-py
- Available tools
- User Guide
- Contributing
- Code of Conduct
- License
- Copyright
OpenSearch MCP Server
opensearch-mcp-server-py is a Model Context Protocol (MCP) server for OpenSearch that enables AI assistants to interact with OpenSearch clusters. It provides a standardized interface for AI models to perform operations like searching indices, retrieving mappings, and managing shards through both stdio and streaming (SSE/Streamable HTTP) protocols.
Key features:
- Seamless integration with AI assistants and LLMs through the MCP protocol
- Support for both stdio and streaming server transports (SSE and Streamable HTTP)
- Built-in tools for common OpenSearch operations
- Easy integration with Claude Desktop and LangChain
- Secure authentication using basic auth or IAM roles
Installing opensearch-mcp-server-py
Opensearch-mcp-server-py can be installed from PyPI via pip:
pip install opensearch-mcp-server-py
Available Tools
- ListIndexTool: Lists all indices in OpenSearch with full information including docs.count, docs.deleted, store.size, etc. If an index parameter is provided, returns detailed information about that specific index.
- IndexMappingTool: Retrieves index mapping and setting information for an index in OpenSearch.
- SearchIndexTool: Searches an index using a query written in query domain-specific language (DSL) in OpenSearch.
- GetShardsTool: Gets information about shards in OpenSearch.
- ClusterHealthTool: Returns basic information about the health of the cluster.
- CountTool: Returns number of documents matching a query.
- ExplainTool: Returns information about why a specific document matches (or doesn't match) a query.
- MsearchTool: Allows to execute several search operations in one request.
Tool Parameters
ListIndexTool
opensearch_url
(optional): The OpenSearch cluster URL to connect toindex
(optional): The name of the index to get detailed information for. If provided, returns detailed information about this specific index instead of listing all indices.
IndexMappingTool
opensearch_url
(optional): The OpenSearch cluster URL to connect toindex
(required): The name of the index to retrieve mappings for
SearchIndexTool
opensearch_url
(optional): The OpenSearch cluster URL to connect toindex
(required): The name of the index to search inquery
(required): The search query in OpenSearch Query DSL format
GetShardsTool
opensearch_url
(optional): The OpenSearch cluster URL to connect toindex
(required): The name of the index to get shard information for
ClusterHealthTool
opensearch_url
(optional): The OpenSearch cluster URL to connect toindex
(optional): Limit health reporting to a specific index
CountTool
opensearch_url
(optional): The OpenSearch cluster URL to connect toindex
(optional): The name of the index to count documents inbody
(optional): Query in JSON format to filter documents
ExplainTool
opensearch_url
(optional): The OpenSearch cluster URL to connect toindex
(required): The name of the index to retrieve the document fromid
(required): The document ID to explainbody
(required): Query in JSON format to explain against the document
MsearchTool
opensearch_url
(optional): The OpenSearch cluster URL to connect toindex
(optional): Default index to search inbody
(required): Multi-search request body in NDJSON format
More tools coming soon. Click here
User Guide
For detailed usage instructions, configuration options, and examples, please see the User Guide.
Contributing
Interested in contributing? Check out our:
- Development Guide - Setup your development environment
- Contributing Guidelines - Learn how to contribute
Code of Conduct
This project has adopted the Amazon Open Source Code of Conduct. For more information see the Code of Conduct FAQ, or contact opensource-codeofconduct@amazon.com with any additional questions or comments.
License
This project is licensed under the Apache v2.0 License.
Copyright
Copyright 2020-2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite that makes it easy to ingest, search, visualize, and analyze data.
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