pulsemcp verified Safe content atomic mcp-remote

Workflows

This MCP server provides workflow management and automation capabilities through a comprehensive step-by-step execution system that supports both cognitive actions (analyze, research, validate, summarize) and tool integrations. Built by FiveOhhWon using TypeScript with Zod validation and SQLite-based storage, it offers tools for creating workflows with complex branching logic, conditional execution, and template variable substitution, managing workflow versions with rollback capabilities, and executing workflows through interactive sessions where each step can be processed individually with full state management. The implementation includes automatic workflow import from JSON files, metadata tracking for performance analytics, and support for various action types including file operations, data transformations, user input prompts, and parallel execution, making it valuable for automating complex multi-step processes like code reviews, data processing pipelines, and research tasks that require structured decision-making and state persistence across execution sessions.

Cognium trust score

91%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/fiveohhwon/workflows-mcp
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Workflows 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"