pulsemcp Safe content atomic mcp-remote

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.

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
database
Source
PulseMCP
Author type
human
Updated
2026-08-26
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Use via MCP

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
Swap --scope user for --scope project to commit it to .mcp.json.

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