Power BI
This Power BI MCP server by Sulaiman Ahmed enables AI assistants to connect to Power BI datasets through XMLA endpoints and perform natural language data analysis using OpenAI's GPT models for DAX query generation. The implementation combines Service Principal authentication with async performance optimizations to discover table schemas, execute custom DAX queries, and automatically translate user questions into executable DAX code with intelligent result interpretation. Built specifically for business analysts and data professionals who want to interact with their Power BI datasets through conversational AI without needing to write DAX manually, it supports both guided data exploration through table discovery and direct query execution for advanced users.
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
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/sulaiman013/powerbi-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Power BI 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.