rag for VS Code
io.github.fieldcure/rag
MCP RAG server with hybrid search, multi-KB support, and AI-powered chunk contextualization.
client:VS Code
transport:stdio
runtime:nuget
Install rag in VS Code
.vscode/mcp.json
{
"inputs": [
{
"type": "promptString",
"id": "openai-api-key",
"description": "OPENAI_API_KEY",
"password": true
},
{
"type": "promptString",
"id": "anthropic-api-key",
"description": "ANTHROPIC_API_KEY",
"password": true
},
{
"type": "promptString",
"id": "gemini-api-key",
"description": "GEMINI_API_KEY",
"password": true
},
{
"type": "promptString",
"id": "voyage-api-key",
"description": "VOYAGE_API_KEY",
"password": true
},
{
"type": "promptString",
"id": "groq-api-key",
"description": "GROQ_API_KEY",
"password": true
}
],
"servers": {
"rag": {
"type": "stdio",
"command": "dnx",
"args": [
"FieldCure.Mcp.Rag",
"--yes"
],
"env": {
"OPENAI_API_KEY": "${input:openai-api-key}",
"ANTHROPIC_API_KEY": "${input:anthropic-api-key}",
"GEMINI_API_KEY": "${input:gemini-api-key}",
"VOYAGE_API_KEY": "${input:voyage-api-key}",
"GROQ_API_KEY": "${input:groq-api-key}"
}
}
}
}VS Code prompts for each input the first time the server starts, so no secret is written to the file. VS Code docs