OpenSearch Integration
STDIOMCP server for OpenSearch providing distributed search and analytics capabilities.
MCP server for OpenSearch providing distributed search and analytics capabilities.
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
This repository is an example of how to create a MCP server for OpenSearch, a distributed search and analytics engine.
pip install opensearch-py[async] zsh: no matches found: opensearch-py[async]
A basic Model Context Protocol server for keeping and retrieving memories in the OpenSearch engine. It acts as a semantic memory layer on top of the OpenSearch database.
search-openSearch
query
(json): prepared json query messageTo install mcp-server-opensearch for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @ibrooksSDX/mcp-server-opensearch --client claude
When using uv
no specific installation is needed to directly run mcp-server-opensearch.
uv run mcp-server-opensearch \ --opensearch-url "http://localhost:9200" \ --index-name "my_index" \
or
uv run fastmcp run demo.py:main
uv run python src/mcp-server-opensearch/test_opensearch.py
cd src/mcp-server-opensearch uv run fastmcp dev demo.py
To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your claude_desktop_config.json
:
{ "opensearch": { "command": "uvx", "args": [ "mcp-server-opensearch", "--opensearch-url", "http://localhost:9200", "--opensearch-api-key", "your_api_key", "--index-name", "your_index_name" ] }, "Demo": { "command": "uv", "args": [ "run", "--with", "fastmcp", "--with", "opensearch-py", "fastmcp", "run", "/Users/ibrooks/Documents/GitHub/mcp-server-opensearch/src/mcp-server-opensearch/demo.py" ] } }
Or use the FastMCP UI to install the server to Claude
uv run fastmcp install demo.py
The configuration of the server can be also done using environment variables:
OPENSEARCH_HOST
: URL of the OpenSearch server, e.g. http://localhost
OPENSEARCH_HOSTPORT
: Port of the host of the OpenSearch server 9200
INDEX_NAME
: Name of the index to use