DagPipe Pipeline Generator
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GROQ_API_KEY | Yes | Your free Groq API key obtained from console.groq.com/keys. Required to power the pipeline generation. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_pipelineB | Generate a complete crash-proof DagPipe workflow from plain English. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion between tools. The single tool has a clear and distinct purpose.
The single tool name 'generate_pipeline' follows a clear verb_noun pattern (generate_pipeline), and there are no other tools to compare, so consistency is perfect.
One tool is on the lower end of the typical range. While the server's narrow focus on pipeline generation justifies a single tool, it feels thin and limits functionality.
The tool provides core generation functionality, but lacks supporting operations like listing, editing, or deleting pipelines. This is acceptable for a pure generator but leaves gaps for broader workflows.