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44 lines (44 loc) · 974 Bytes
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{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.ggozad/haiku-rag",
"version": "{{VERSION}}",
"description": "Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling",
"repository": {
"url": "https://github.com/ggozad/haiku.rag",
"source": "github"
},
"license": "MIT",
"keywords": [
"rag",
"lancedb",
"vector-database",
"embeddings",
"search",
"qa",
"research",
"docling",
"pydantic-ai"
],
"packages": [
{
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"identifier": "haiku-rag",
"version": "{{VERSION}}",
"runtimeHint": "uvx",
"runtimeArguments": [
{
"type": "positional",
"value": "serve"
},
{
"type": "named",
"name": "--mcp"
}
],
"transport": {
"type": "stdio"
}
}
]
}