Solutions
The problems Meandr takes off your plate.
Every one of these comes from the same gap: agents talking straight to your tools, with nothing in between. Here's what that costs — and how one AI governance and security layer fixes each.
Stop runaway agents
One agent shouldn't be able to drain a budget or hammer an API. Fleet-wide rate limits keep spend and load in check.
Require human approvals
Pause risky or irreversible calls for a quick human yes/no — for supported clients, right inside the agent's own chat.
Audit & compliance
Prove what your agents did: a queryable record of every call — who, what, when, and which rule decided — with opt-in encrypted capture.
Connect AWS MCP
AWS-hosted MCP servers expect AWS SigV4-signed requests. Meandr signs them for you, so they connect out of the box — no proxy to run.
By integration
The same controls, aimed at one vendor's MCP server. Connect the server as it ships, keep its safe read tools flowing, and hold the writes and deletes behind a rule or a human — walked through end to end for a specific service.
Connect GitHub MCP
GitHub's MCP server hands an agent the whole repo — reads, writes and deletes. Put it behind Meandr and the reads flow freely while merges, pushes and deletes wait for a rule or a human. Read-only by default, no change to your agent.
One control plane, all of the above.
Point your agent at one endpoint and you're governed in minutes — no code changes, no proxy to run.
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