ragi
Local-first RAG indexing and semantic search MCP server. Enables document retrieval and context-aware queries using local embedding models.
Knowledge & Memory (RAG)
npm 0 platforms
0 features
Install
npx -y @susutawar/ragi
Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
{
"mcpServers": {
"ragi": {
"command": "npx",
"args": [
"-y",
"@susutawar/ragi"
],
"env": {
"RAGI_VECTOR_STORE": "<RAGI_VECTOR_STORE>",
"RAGI_EMBEDDING_MODEL": "<RAGI_EMBEDDING_MODEL>",
"RAGI_EMBEDDING_BASE_URL": "<RAGI_EMBEDDING_BASE_URL>",
"RAGI_EMBEDDING_PROVIDER": "<RAGI_EMBEDDING_PROVIDER>"
}
}
}
}Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.
