Azure Data Explorer
The Azure Data Explorer MCP Server provides AI assistants with direct access to Azure Data Explorer (ADX) clusters and databases through standardized MCP interfaces. Built with Python using FastMCP, it enables executing KQL queries, discovering database resources, exploring table schemas, and sampling data from tables. The implementation supports authentication via client credentials or default Azure credentials and includes tools for listing tables, retrieving schemas, and executing custom queries. Ideal for AI workflows that need to analyze data stored in ADX, generate insights from logs and metrics, or help users explore their ADX resources.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/pab1it0/adx-mcp-server
- Author type
- human
- Updated
- 2026-08-26
Use via MCP
Resolve Azure Data Explorer 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.