Sievant

Sievant puts a security checkpoint between AI agents and the tools they call.

It sits in front of MCP (Model Context Protocol) servers and checks every tool call: who is calling, whether they may, what goes in and what comes back.

Two ways to run it

  • On a developer's machine, in front of the MCP servers that Claude Desktop, Claude Code, Cursor, VS Code and Windsurf launch: sievant scan audits their configurations, sievant wrap routes the servers through Sievant, and sievant ui shows what happened.
  • As a gateway for a team or a cluster: one process, or a Kubernetes sidecar, that serves databases, REST and gRPC APIs, Prometheus and Loki, and other MCP servers as tools, with identity, per-agent policies and rate limits.

It adds about 0.25 ms per call at the 99th percentile (proxy overhead, measured on a development machine). The figure is the proxy-overhead p99 from the TestProxyOverheadBudget runs recorded in the repository's BASELINE.md; the release gate is 2 ms.

On your machineFrom the README
sievant scan        # read-only: what is risky in your MCP client configurationssievant wrap --all  # route those servers through Sievant (backs up every file first)sievant ui          # calls, decisions, blocked actions and redactions (127.0.0.1, one-time link)sievant unwrap      # restore the original configurations, byte for byte

What it blocks

Real responses, recorded against the synthetic MCP server in Sievant’s tests.

Is your MCP setup leaking?

sievant scan reads the MCP server configuration of Claude Desktop, Claude Code, Cursor, VS Code and Windsurf, plus the project files in the current directory. It never changes them.

What the scan checks

What stays on your machine

Sievant sends no telemetry. It contacts only the servers and backends you configure.

The audit trail is a SQLite file on your machine. It never holds raw arguments, only a keyed hash of them, and it never holds results. Exports (OTLP, syslog or a webhook) are off unless you configure them.

See a sample posture report · How findings are rated · FAQ

Want a review of your setup?

The Agent Security Review delivers a threat model, Sievant deployed (observe first, then enforce) and a posture report for your customer’s security review.

From $7,500, 1–2 weeks.

Paying for inference too?

Tokvera measures what your LLM endpoint costs and how it behaves under load. Halotrcer runs both and writes one report.

Launching soon

Sievant isn’t released yet

Install commands will appear here on release day. Until then, book a call to talk through your setup, or email us.