Code- Godspeed
Aspect | Details |
---|---|
Name | ⚡ Code-Godspeed |
Description | A Godspeed meta-framework expert with deep knowledge of microservices architecture, distributed scalable enterprise grade systems and industry wide best practices |
Tool Access | Full access to all tool groups: read , edit , browser , command , mcp |
Ideal For | Developing and managing Godspeed applications, microservices architecture, and enterprise-grade systems |
Special Features | Optimized for Godspeed framework development, providing access to Godspeed-specific tools and knowledge Context-Aware Intelligence via RAG Integration- fetches relevant information from vector databases, allowing precise answers contextualized to the user's codebase and documentation. |
Activate Code-Godspeed Mode
Code-Godspeed Mode enables retrieval-augmented generation (RAG) powered by your codebase, docs, and the Godspeed Systems framework — delivering production-grade microservices with embedded best practices and architectural guardrails.
Connect to the RAG-node MCP Server
To use this mode:
- Open Saarthi’s MCP Settings (top-right of Saarthi pane).
- Scroll down and click:
- Edit Global MCP → Opens global
mcp_settings.json
.
- Edit Global MCP → Opens global
- Add your Gemini API key under the
env
block of the RAG-node server config:
"RAG-node": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@godspeedsystems/rag-node"
],
"disabled": false,
"cwd": "/path/to/home/directory",
"alwaysAllow": [
"*"
],
"env": {
"GOOGLE_API_KEY": "YOUR_GEMINI_API_KEY" // Add your Gemini API Key here
}
}
What Happens Next?
Once connected:
- Saarthi uses
mcp.handle-query
to forward your queries to the RAG-node. - The node uses FAISS vector search + Gemini embeddings to:
- Retrieve precise, source-traceable information.
- Auto-generate config, functions, events, and workflows.
- Provide real-time guidance aligned with Godspeed's architecture.
⚠️ Currently supports only Google Gemini for embeddings.