pulsemcp verified Safe content atomic mcp-remote

Elasticsearch

This MCP server implementation provides a bridge to Elasticsearch, enabling AI assistants to interact with Elasticsearch clusters. It offers tools for retrieving index information, performing standard and semantic searches, and analyzing Salesforce data. The server utilizes the FastMCP framework and Elasticsearch Python client, making it suitable for use cases requiring advanced search capabilities and data analysis within AI-assisted applications.

Cognium trust score
100%
Tier
Verified

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 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
search
Source
PulseMCP
Author type
human
Last scanned
2026-09-19
Updated
2026-09-19
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MCP

Resolve Elasticsearch 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
Swap --scope user for --scope project to commit it to .mcp.json.

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