RAG platform combining graph RAG, vector search and full-text search, with MCP support so agents can query the knowledge base.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add aperag -- python3 path/to/your/main.py~/.codex/config.toml
[mcp_servers.aperag]
command = "python3"
args = ["path/to/your/main.py"]
# codex mcp add aperag -- python3 path/to/your/main.py~/.cursor/mcp.json
{
"mcpServers": {
"aperag": {
"command": "python3",
"args": [
"path/to/your/main.py"
]
}
}
}.vscode/mcp.json
{
"servers": {
"aperag": {
"type": "stdio",
"command": "python3",
"args": [
"path/to/your/main.py"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"aperag": {
"command": "python3",
"args": [
"path/to/your/main.py"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"aperag": {
"command": "python3",
"args": [
"path/to/your/main.py"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"aperag": {
"command": "python3",
"args": [
"path/to/your/main.py"
]
}
}
}