Every Ollagraph endpoint is an MCP tool. Drop into Claude Desktop, Cursor, or Cline with one config line. Then connect your other MCP servers, and Ollagraph observes, governs, and rate-limits them all from one plane.
Every agent in production calls a half-dozen MCP servers — yours, partners', vendors'. Without visibility, you ship blind.
Auto-detect every MCP server your agents touch. Index their tools, schemas, and version history with zero config.
Per-tool latency, error rates, drift, and cost. Trace agent invocations end-to-end and replay any failure.
Per-agent quotas, allowlists, redaction, and policy-as-code. Block tool calls before they spend a dollar.
Schema drift detection across tool versions. Pin agents to known-good versions and canary new ones safely.
Detect prompt-injection, malformed responses, runaway loops, and tool-of-last-resort patterns automatically.
Tamper-evident logs of every tool call. Tie agent decisions back to data sources for regulators and customers.
Point Ollagraph at any MCP server. Stdio, SSE, or HTTPS — we proxy and instrument in flight.
# Mount our MCP-aware proxy
og mcp connect \
--url "https://internal/mcp" \
--name "postgres/analytics"
Every tool call now emits a trace, cost, and result hash. Stream to your existing observability or use ours.
og.mcp.on("invocation", ev => {
log(ev.tool, ev.latencyMs, ev.costUsd);
});
Write policy-as-code: who can call what, when, with which redactions. Block before spend.
policy "prod-agents" {
deny tool == "db.exec"
limit "slack.send" = 50/min
}