OpenSearch
OpenSearch MCP Server provides a bridge between AI assistants and OpenSearch databases, enabling direct querying and data retrieval capabilities. Built with Python 3.10, it leverages the opensearch-py library and FastMCP framework to establish secure connections to OpenSearch clusters using configurable authentication credentials. The server can be deployed as a Docker container or run locally, with environment variables controlling connection settings. This implementation is particularly valuable for workflows requiring real-time access to data stored in OpenSearch, such as log analysis, document retrieval, and structured data querying without leaving the conversation interface.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/jimmy974/opensearch-mcp-server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve OpenSearch from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.