pulsemcp Safe content atomic mcp-remote

WHartTest

This WHartTest MCP server provides automated testing tools and Microsoft API integration capabilities through Python-based modules. Built with FastMCP and featuring cryptographic support via PyCryptodome, it offers tools for test automation workflows and Microsoft service interactions through the ms_mcp_api module and testauto_tools utilities. The implementation includes comprehensive dependency management with requests and Pydantic for data validation, GitHub Actions workflow for documentation deployment, and modular architecture separating API functionality from testing utilities, making it valuable for QA engineers automating test suites, developers integrating Microsoft services into AI workflows, and teams building automated testing pipelines that require both API connectivity and test execution capabilities.

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: version-control
Source: PulseMCP
Repository: github.com/mgdaaslab/wharttest/tree/HEAD/WHartTest_MCP
Author type: human
Updated: 2026-04-25

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MCP

Resolve WHartTest 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"