INDIVIDUAL MCP TOOL
createStore
A new, empty FactoGraph store of the person's own: its private link and its MCP connector address.
LIVE ENDPOINT
https://api.factograph.app/api/mcp
Connect to this endpoint to inspect the live schema for createStore and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.factograph-public]
url = "https://api.factograph.app/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"factograph-public": {
"type": "http",
"url": "https://api.factograph.app/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: factograph-public
Remote MCP URL: https://api.factograph.app/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"factograph-public": {
"url": "https://api.factograph.app/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"factograph-public": {
"type": "http",
"url": "https://api.factograph.app/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "factograph-public",
"transport": "streamable-http",
"url": "https://api.factograph.app/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
getManual— How to ask a public store and cite its facts, and what it holds: how many facts, from which sources.listFacts— Every fact in a public store, numbered, each number a link to the fact.ask— Ask a question; the store answers only from its facts, each claim linked to its fact, and checks the answer against them.getStep— Where a running step is now: its next prompt, or its result.replyToPrompt— Answer the prompt a step is waiting on - do the model work in its `system` and `messages` first.