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Jott2121/agent-gate

by Various

MCP server that adds a fail-closed quality gate and hash-chained receipt ledger to any AI agent workflow.

J

MCP

Jott2121/agent-gate

Added 11 June 2026

#ai-agents #fleet-mode #guardrails #llm #mcp #model-context-protocol #python

Overview

Agent-gate is an MCP server that enforces a fail-closed quality gate on AI agent outputs and maintains a hash-chained receipt ledger for auditability. It integrates into existing MCP-compatible agent workflows to block low-quality responses and create an immutable log of decisions.

Best for

Best for
Developers deploying MCP-based AI agents that need output quality control and an immutable audit trail

Use cases

  • Blocking agent outputs that fail a predefined quality threshold
  • Generating tamper-proof receipts for each agent action
  • Integrating quality control and auditing into MCP-based agent pipelines

Notes

Agent-gate is an MCP server that enforces a fail-closed quality gate on AI agent outputs and maintains a hash-chained receipt ledger for auditability. It integrates into existing MCP-compatible agent workflows to block low-quality responses and create an immutable log of decisions.

1 stars on GitHub. Last updated 2026-06-11. Licensed MIT.

Use cases

  • Blocking agent outputs that fail a predefined quality threshold
  • Generating tamper-proof receipts for each agent action
  • Integrating quality control and auditing into MCP-based agent pipelines

Pros

  • Fail-closed gate prevents low-quality or unsafe outputs from reaching users
  • Hash-chained ledger provides a verifiable, immutable audit trail
  • Lightweight Python server that is easy to deploy and integrate

Cons

  • Early-stage project with limited community and documentation
  • Adds latency to agent workflows due to quality checks and ledger writes
  • Requires a compatible MCP agent framework to function

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Fail-closed gate prevents low-quality or unsafe outputs from reaching users
  • Hash-chained ledger provides a verifiable, immutable audit trail
  • Lightweight Python server that is easy to deploy and integrate

Cons

  • Early-stage project with limited community and documentation
  • Adds latency to agent workflows due to quality checks and ledger writes
  • Requires a compatible MCP agent framework to function