pulsemcp Safe content atomic mcp-remote

Workato

This Workato MCP server by MiriTheBest provides read-only access to the Workato automation platform API, enabling AI assistants to retrieve and analyze integration workflows, recipes, connections, and workspace metadata. Built with Python using FastAPI and FastMCP, it offers comprehensive caching with configurable TTL settings, parameter validation utilities, and standardized response formatting across 20+ tools including recipe management, job monitoring, lookup table operations, activity log analysis, and workspace administration. The implementation features intelligent data truncation to prevent memory issues with large datasets, text summarization for chat-friendly output, and robust error handling with detailed logging, making it valuable for DevOps teams monitoring integration health, business analysts reviewing automation workflows, and administrators managing Workato workspaces through conversational AI interfaces.

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.

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/mirithebest/worka42
Author type: human
Updated: 2026-04-25

View source Find related skills

MCP

Resolve Workato 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"