pulsemcp Safe content atomic mcp-remote

Elasticsearch Knowledge Graph

This Elasticsearch-based knowledge graph implementation for MCP replaces the previous JSON file-based approach with a scalable, performant solution. It provides distributed storage for entities and relations, advanced search capabilities with fuzzy matching and relevancy ranking, and complete CRUD operations. The system tracks access patterns to prioritize recently viewed and important entities, simulating memory-like behavior where important, recent, and frequently accessed information rises to the top. Built with TypeScript and the Elasticsearch client, it includes tools for migration, management, and maintenance through a comprehensive admin CLI.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: search
Source: PulseMCP
Repository: github.com/j3k0/mcp-brain-tools
Author type: human
Updated: 2026-04-25

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MCP

Resolve Elasticsearch Knowledge Graph 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.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"