These tools provide an interface for AI Agents to manage multiple graphs in Apache AGE. They expose tools for creating, updating, administering, and visualizing graphs.
| Tool Name | Description | Parameters |
|---|---|---|
get_or_create_graph |
Get or create a graph with the specified name. | graph_name: str |
list_graphs |
List all graph names in the database. | |
upsert_graph |
Upsert both vertices and edges into the specified graph (deep merge). | graph_name: str, vertices: List[Dict[str, Any]], edges: List[Dict[str, Any]] |
upsert_edge |
Insert or update an edge's properties in a graph non-destructively. | graph_name: str, label: str, edge_start_ident: str, edge_end_ident: str, properties: Dict[str, Any] |
upsert_vertex |
Insert or update a vertex's properties in a graph non-destructively. | graph_name: str, vertex_ident: str, label: str, properties: Dict[str, Any] |
drop_graphs |
Drop one or more graphs by name. | graph_names: List[str] |
drop_vertex |
Remove a vertex by ident. | graph_name: str, vertex_ident: str |
drop_edge |
Remove an edge by ident. | graph_name: str, edge_ident: str |
generate_visualization |
Generate a single-page HTML file visualizing a graph using vis.js and pyvis. | graph_name: str |
Install the latest release using pipx (recommended for CLI/server tools):
# Install
pipx install agemcp
# Postgres DSN / MCP Server Defaults
agemcp config
# Start the server
agemcp runYou should see something like this:
INFO: Starting MCP server 'agemcp' with transport 'streamable-http' on http://0.0.0.0:8000/mcp/
INFO: Started server process [13951]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)- Open Command Palette (Cmd+Shift+P or Ctrl+Shift+P).
- Select
MCP: Add Server... - Choose "HTTP" option.
- Enter the server URL (e.g.,
http://localhost:8000/mcp/). - Enter a "server id" (e.g.,
agemcp). - Select
Globalfor the scope. - Done. (It should appear in the
extensionssidebar.)
{
"mcpServers": {
"agemcp": {
"url": "http://localhost:8000/mcp/",
"type": "streamable-http",
"headers": {
"Content-Type": "application/json"
}
}
}
}