
Vantagate Mcp Server
This adds a human approval layer before your AI agent executes high-risk operations. It exposes two MCP tools: create_vantagate_checkpoint pauses execution and sends a Slack or email notification to a human approver, while check_vantagate_status polls for the decision. The payload is encrypted, purged after approval or rejection, and every decision gets a cryptographic audit trail. Reach for this when your agent is about to delete database records, deploy to production, send bulk emails, or move money. Also ships as an OpenAPI spec if you want to wire it into GPTs, n8n, or LangChain instead of using MCP.
- GitHub stars
- 1
- tools
- 2
- auth
- Secret needed
- transport
- STDIO
- env var
- 1
- last updated
- May 5, 2026
Tools
2 toolsPublic tool metadata for what this MCP can expose to an agent.
create_vantagate_checkpointPauses the agent workflow and routes a human approval request.
Pauses the agent workflow and routes a human approval request.
No parameter schema in public metadata yet.
check_vantagate_statusPolls the decision status of a pending checkpoint.
Polls the decision status of a pending checkpoint.
No parameter schema in public metadata yet.
Sponsors
Configuration
VANTA_API_KEY*secretYour VantaGate API Key (Format: vg_123...)
Readme
VantaGate MCP Server & OpenAPI Integration
Human-in-the-Loop authorization for AI Agents. VantaGate intercepts high-risk actions, routes them to a human approver via Slack or Email, and returns a cryptographically-signed decision - so your agent resumes or halts with a full audit trail.
What is VantaGate?
AI agents are increasingly capable of executing consequential real-world actions: sending emails to thousands of users, deleting database records, moving money, deploying to production. VantaGate is the trust layer that ensures humans remain in control.
Details
- Repository
- github.com/aderix/vantagate-mcp-server
- Package
@vantagate/mcp-server- Transport
- STDIO
- Auth
- Required
- Registry
- MCP registry, active