pulsemcp Safe content atomic mcp-remote

Octomind (E2E Test Automation)

Octomind MCP Server enables AI assistants to create, manage, and execute end-to-end tests through integration with the Octomind platform. Built with TypeScript using the Model Context Protocol SDK, it provides tools for test case creation, execution monitoring, environment management, and test report analysis. The server communicates with the Octomind API using an authentication key and supports features like test discovery, which allows generating test cases from descriptions or prompts. Particularly valuable for development teams who want to leverage AI assistants for automated testing workflows without switching context to the Octomind web interface.

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: ai-ml
Source: PulseMCP
Repository: github.com/octomind-dev/octomind-mcp
Author type: human
Updated: 2026-04-29

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MCP

Resolve Octomind (E2E Test Automation) 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"