Dagpipe

Name: Dagpipe
Author: devilsfave

by devilsfavecommunityv0.2.3

DagPipe is a reliability layer for AI workflows that prevents cascading failures by validating and checkpointing each node's output independently. It allows users to build crash-proof LLM pipelines using free-tier APIs.

From the registry: Crash-proof LLM pipelines. Resumes from failure without a database.

GitHub Repository

Install & configure

Prerequisites

required
Get Groq API key
Sign up at console.groq.com/keys for a free Groq API key (no credit card).
https://console.groq.com/keys

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `dagpipe` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Get Groq API key** — Sign up at console.groq.com/keys for a free Groq API key (no credit card). (https://console.groq.com/keys)

Canonical MCP server config (HTTP transport):
- url: `https://gastronomic-desk--dagpipe-generator-mcp.apify.actor/mcp?groqApiKey=<your-groq-api-key>`

Note: Hosted Streamable HTTP on Apify. Free Groq API key passed via URL query param.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: Hosted Streamable HTTP on Apify. Free Groq API key passed via URL query param.