Human-in-the-Loop MCP Server

Human-in-the-loop MCP server enabling AI agents to pause execution and request human approval or input before proceeding — presenting decision points to humans via CLI prompts or web UI, collecting structured responses, and allowing agents to safely gate irreversible actions, handle ambiguous situations, or request clarification during autonomous workflows.

Evaluated Mar 06, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ Agent Skills human-in-the-loop approval mcp-server workflow safety agent-control
⚙ Agent Friendliness
75
/ 100
Can an agent use this?
🔒 Security
79
/ 100
Is it safe for agents?
⚡ Reliability
67
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
68
Documentation
70
Error Messages
65
Auth Simplicity
95
Rate Limits
90

🔒 Security

TLS Enforcement
80
Auth Strength
80
Scope Granularity
72
Dep. Hygiene
72
Secret Handling
88

Local process. No external calls. Human-gated operations enhance safety. Community MCP.

⚡ Reliability

Uptime/SLA
70
Version Stability
65
Breaking Changes
65
Error Recovery
68
AF Security Reliability

Best When

An agent needs to pause and get human approval before taking high-stakes or irreversible actions — essential for safe deployment of autonomous agents in production environments.

Avoid When

You need fully automated, unattended operation — or when human review latency would break the workflow's time constraints.

Use Cases

  • Requiring human approval before destructive operations from safety-critical agents
  • Collecting human judgment for ambiguous classification decisions from review agents
  • Pausing agents at key decision points for oversight from compliance workflow agents
  • Requesting human clarification when agent confidence is low from autonomous agents
  • Building human-supervised agentic pipelines from enterprise automation agents
  • Enabling safe agent deployment in production from cautious AI workflow agents

Not For

  • Fully autonomous pipelines where human interruption is not desired
  • High-throughput workflows where human review would be a bottleneck
  • Asynchronous batch processing without human availability

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: none
OAuth: No Scopes: No

No authentication — local process communicates via stdio. Human interaction via CLI or local web UI. No external service required.

Pricing

Model: free
Free tier: Yes
Requires CC: No

Free, open source community MCP server.

Agent Metadata

Pagination
none
Idempotent
Full
Retry Guidance
Not documented

Known Gotchas

  • Agent will block indefinitely waiting for human response — implement timeouts in workflow
  • Human must be present and available for approval — not suitable for overnight automation
  • Community MCP — minimal documentation for edge cases and error scenarios
  • CLI-based interaction may be awkward in headless/server environments
  • No built-in audit log of approvals — consider wrapping with logging
  • Timeout handling must be implemented by the calling agent, not provided by MCP

Alternatives

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Scores are editorial opinions as of 2026-03-06.

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