OpenSearch MCP Server
Listed on its own since 2026-09-26. Until then it was part of datgfg-opensearch-mcp-server-py, where its earlier checks remain.
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-opensearch-project-opensearch-mcp-serv","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
 - [OpenSearch MCP Server](https://github.com/opensearch-project/opensearch-mcp-server-py#opensearch-mcp-server) - [Installing opensearch-mcp-server-py](https://github.com/opensearch-project/opensearch-mcp-server-py#installing-opensearch-mcp-server-py) - [Available tools](https://github.com/opensearch-project/opensearch-mcp-server-py#available-tools) - [User Guide](https://github.com/opensearch-project/opensearch-mcp-server-py#user-guide) - [Contributing](https://github.com/opensearch-project/opensearch-mcp-server-py#contributing) - [Code of Conduct](https://github.com/opensearch-project/opensearch-mcp-server-py#code-of-conduct) - [License](https://github.com/opensearch-project/opensearch-mcp-server-py#license) - [Copyright](https://github.com/opensearch-project/opensearch-mcp-server-py#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](https://pypi.org/project/opensearch-mcp-server-py/) via pip: ``` pip install opensearch-mcp-server-py ``` ## Available Tools By default, only **core tools** are enabled to provide essential OpenSearch functionality: ### Core Tools (Enabled by Default) Core tools are grouped un…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.