OpenSearch
This MCP server implementation provides a bridge to OpenSearch, enabling AI assistants to perform powerful search and analytics operations. Developed by ibrooksSDX, it integrates with OpenSearch to offer functionalities like full-text search, data aggregation, and real-time analytics. The server is designed to work with various MCP-compatible clients, offering a straightforward setup process using Docker for easy deployment. It's particularly useful for applications requiring advanced search capabilities, log analytics, or real-time data exploration. The implementation focuses on efficient query handling and secure authentication, making it suitable for both development and production environments where robust search and analytics are needed.
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
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/ibrookssdx/mcp-server-opensearch
- 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.