OpenSearch MCP Server

MCPOpen SourceMIT24.6

by showjason • Search & Retrieval

A lightweight MCP server that exposes OpenSearch index, cluster, and document operations for integration with agents and tools like Cursor and Claude.

Example Use Cases

1
Discover and list all indices in an OpenSearch cluster to determine available data sources.
2
Fetch index mappings and settings to understand schema and craft accurate queries.
3
Run search queries and retrieve documents from OpenSearch as part of a larger retrieval or reasoning pipeline.

Description

This project implements a Model Context Protocol (MCP) server to integrate OpenSearch with agent workflows. It provides index management (list indices, mappings, settings), cluster management (health and stats), and document search endpoints. It is intended to run locally and be connected to agent platforms via SSE or by launching the server process. Installation and configuration are done via a Python virtual environment and a simple .env file for OpenSearch credentials.

Capabilities(20 total)

Tools (20)

list_indices

List all indices.

get_index

Returns information (mappings, settings, aliases) about one or more indices. Args: index: Name of the index

index:string*

create_index

Create a new index. Args: index: Name of the index body: Optional index configuration including mappings and settings

index:string*body:any

delete_index

Delete an index. Args: index: Name of the index

index:string*

search_documents

Search for documents. Args: index: Name of the index body: Search query

index:string*body:object*

Quick Actions

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Security

Scanned 2 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

C52/100

4/17 checks passed

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Quick Stats

Service TypeMCP

Pricing ModelFree

Capabilities20 Tools / 0 Prompts / 0 Resources

Ownershowjason

CategorySearch & Retrieval

DependenciesStandalone

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