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Provide shared rate limiting, concurrency control, and signed enforcement for multi-agent MCP systems.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Agent Rate Limiter MCP" yet — see the docs or source repo.
Design a shared rate limiting setup for a system with multiple AI agents and MCP tools. It should support sliding windows, global request quotas, and per-service policies, and include example configuration.
A shared rate limiting design with policies, configuration examples, and multi-service integration guidance.
I need to limit how many agents can call the same external API concurrently. Explain how to use this MCP tool for concurrency grants, acquire/release handling, and over-limit behavior, with an integration flow.
A concurrency control integration guide covering grant requests, release mechanisms, and over-limit responses.
Explain how to generate verifiable signed enforcement attestations after rate-limit decisions, so a multi-agent system can audit whether requests followed policy, and include an example verification flow.
A plan for generating and verifying signed attestations for auditing and compliance tracking.
Protect MCP-connected agents with PII redaction, rate limits, and policy enforcement.
Manage agent credentials, spending, approvals, and audit trails safely.
Gate MCP agent actions through compliance policies before execution.
Add OAuth auth, scope enforcement, and delegation auditing to MCP agents.
Add agentic tools with iterative reasoning and tool use to apps
Enforce permissions, approvals, sanitization, and audit for AI agent MCP calls.