pulsemcp Safe content atomic mcp-remote

Pipedream Workflow Components

Pipedream MCP server enables AI assistants to configure and run Pipedream components through natural language. Built on TypeScript, it provides tools for authenticating with various apps, configuring workflow components, and executing actions. The implementation includes both stdio and SSE server modes, handles OAuth authentication flows, and manages user credentials securely. This server is particularly valuable for integrating AI assistants with Pipedream's extensive library of pre-built integrations, allowing users to automate workflows across hundreds of apps and services without writing code.

Cognium trust score

65%

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: security
Source: PulseMCP
Repository: github.com/wallaceobsidian01/pipedream/tree/HEAD/modelcontextprotocol
Author type: human
Updated: 2026-05-05

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MCP

Resolve Pipedream Workflow Components 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"