pulsemcp verified Safe content atomic mcp-remote

AI-Assisted Insights Agent

Translates natural language questions into accurate, explainable SQL queries and data insights. Connects to various data sources including PostgreSQL, Snowflake, BigQuery, and Redshift, providing configurable metric definitions, business glossary mappings, and data quality validation. Features query history tracking, template management, metric comparison tools, and integration examples for Claude Desktop, Jupyter notebooks, and Python applications.

Cognium trust score

91%

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: database
Source: PulseMCP
Repository: github.com/jkelleman/ai-assisted-insights-agent
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve AI-Assisted Insights Agent 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"