agentforge-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| AGENTFORGE_API_KEY | Yes | Required. Your API key. | |
| AGENTFORGE_API_URL | No | Override the endpoint (rarely needed). | https://agentforge.sciscale.org/api/v1/refine |
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
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| agentforge_refine_promptA | Turn a rough, plain-language coding request into a structured, tool-tuned prompt for an AI coding agent. AgentForge extracts the real requirements, fills in missing edge cases, formats the prompt for the target agent's conventions, and runs it through a Quality Engine before returning it. Reach for this when a request is vague or under-specified and you want a sharper prompt before handing it to a coding agent. Args:
Returns the refined prompt as text. structuredContent additionally carries: { "prompt": string, "tier": "free" | "pro", "quality": { "score": number, "max_score": number, "passed": boolean } | null, "usage": { "used_today": number, "limit": number | null } } Errors are returned as text, e.g.:
|
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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