pulsemcp Safe content atomic mcp-remote

PBIXRay

PBIXRay MCP Server provides a bridge to analyze Power BI (.pbix) files through a Python-based interface. Developed by jonaolden, this implementation exposes PBIXRay's capabilities as tools for exploring data models, querying languages (DAX and Power Query), and analyzing data structures with features like pagination and filtering. The server handles large file processing asynchronously with progress reporting, making it particularly valuable for data analysts and BI professionals who need to extract insights from Power BI files through AI assistants without switching tools.

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: data-analytics
Source: PulseMCP
Repository: github.com/jonaolden/pbixray-mcp-server
Author type: human
Updated: 2026-04-25

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MCP

Resolve PBIXRay 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"