Open-source MCP server
Wikipedia for AI agents.
Give Claude Code, Cursor, and any MCP-compatible agent structured causal knowledge — causes, effects, confidence scores, and evidence on every link. Open data. Install in 60 seconds.
$ npx @causari/mcp-server
# or add to .mcp.json:
{
"causari": {
"command": "npx",
"args": ["@causari/mcp-server"]
}
}
5 tools for your agent
Structured causal knowledge, not guesswork.
01 · causal_chain
Trace cause and effect.
"What caused the AI winter?" → Perceptron limitations → DARPA funding cuts → connectionism backlash. Every link has confidence scores and cited evidence.
02 · historical_resonance
Find patterns that rhyme.
"My startup is building an open protocol competing with a closed platform." → Matches: TCP/IP vs OSI, Linux vs Unix, Web vs AOL. Predictive value + historical exemplars returned.
03 · query_events
Search by domain, time, impact.
"High-impact technology events between 1990-2010" → World Wide Web, Linux, Google, iPhone, Bitcoin. Structured JSON. Filter by domain, year, impact score.
See the data visually
Same graph, beautiful canvas.
Powflow renders the same causal knowledge graph your agent queries. Drag, zoom, click any node to trace its causes and effects.
↑ Drag · scroll to zoom · click any node
Give your agent a memory.
Free and open-source. Install the MCP server, or join the waitlist for the hosted Pro tier — zero config, always-fresh data, priority latency.
Embed Powflow anywhere
One line. Drop into Notion, Substack, your blog.
Paste this snippet into any page that allows raw HTML. The demo runs standalone — no account required for visitors.
<iframe src="https://causari.ai/embed/canvas.html" width="100%" height="640" style="border:0;border-radius:14px;background:#010105" loading="lazy" sandbox="allow-scripts allow-same-origin allow-popups allow-forms" title="Powflow by Causari"></iframe>
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