What is MCP?
Model Context Protocol (MCP) is a standardized way for AI agents to access external tools and services. Velatir’s MCP server provides a security-focused approval gate that requires human authorization before AI agents can execute potentially sensitive operations.Key Features
Human-in-the-Loop Approval
Mandatory approval gate for sensitive AI agent operations
Request Tracking
Unique ID-based approval system with real-time status polling
Feedback Integration
Denial reasons for iterative improvement of AI agent behavior
Universal Compatibility
Works with any MCP-compatible AI tool or platform
Supported AI Tools & Platforms
AI Assistants
Claude (Anthropic)
Claude (Anthropic)
Claude Desktop - Native MCP support for human approval workflows
Claude Web - Via MCP protocol for controlled AI interactions
Claude API - Integrate approval gates in custom Claude implementations
Claude Web - Via MCP protocol for controlled AI interactions
Claude API - Integrate approval gates in custom Claude implementations
ChatGPT/OpenAI
ChatGPT/OpenAI
ChatGPT Desktop - MCP integration for approval workflows
Custom GPT Apps - Add human oversight to specialized GPT applications
OpenAI API - Embed approval gates in OpenAI-powered tools
Custom GPT Apps - Add human oversight to specialized GPT applications
OpenAI API - Embed approval gates in OpenAI-powered tools
Local AI Models
Local AI Models
Ollama - Human approval for local model operations
LM Studio - Approval gates for locally hosted AI models
Text Generation WebUI - Integrate with web-based AI interfaces
LM Studio - Approval gates for locally hosted AI models
Text Generation WebUI - Integrate with web-based AI interfaces
Development Tools
Code Editors
Code Editors
Cursor - Approve AI code changes before execution
GitHub Copilot - Human review for AI-generated code
Replit - Approval gates for AI-assisted development
Windsurf - Human oversight for AI development workflows
GitHub Copilot - Human review for AI-generated code
Replit - Approval gates for AI-assisted development
Windsurf - Human oversight for AI development workflows
AI Development Frameworks
AI Development Frameworks
LangChain - Add approval steps to AI agent workflows
CrewAI - Human oversight for multi-agent systems
AutoGPT - Approval gates for autonomous AI operations
Semantic Kernel - Microsoft’s AI framework integration
CrewAI - Human oversight for multi-agent systems
AutoGPT - Approval gates for autonomous AI operations
Semantic Kernel - Microsoft’s AI framework integration
Business & Productivity Tools
Workflow Automation
Workflow Automation
Zapier - Human approval for AI-powered automations
n8n - Approval nodes in workflow automation (also has dedicated node)
Microsoft Power Automate - AI approval gates in business workflows
Integromat/Make - Human oversight for automated processes
n8n - Approval nodes in workflow automation (also has dedicated node)
Microsoft Power Automate - AI approval gates in business workflows
Integromat/Make - Human oversight for automated processes
Business Intelligence
Business Intelligence
Tableau - Approve AI insights before sharing
Power BI - Human review of AI-generated reports
Custom BI Tools - Integrate approval into data analysis workflows
Power BI - Human review of AI-generated reports
Custom BI Tools - Integrate approval into data analysis workflows
Agent Frameworks
Multi-Agent Systems
Multi-Agent Systems
Microsoft Autogen - Human oversight for agent conversations
Google AI Studio - Approval gates for AI experiments
Hugging Face Agents - Human review for model interactions
Custom Agent Platforms - Universal MCP compatibility
Google AI Studio - Approval gates for AI experiments
Hugging Face Agents - Human review for model interactions
Custom Agent Platforms - Universal MCP compatibility
Available Tools
request_human_approval
Initiates a human approval request before sensitive operations.
Parameters:
functionName: Name of the function requiring approvalargs: Arguments or context for the actiondescription: Human-readable descriptionmetadata: Additional metadata for context
check_approval_status
Checks the current status of an approval request.
Parameters:
requestId: The ID returned fromrequest_human_approval
pending, approved, denied, changerequested) and optional feedback
Response Status Types
pending
pending
Request Submitted - Waiting for human review
Next Action: Continue polling until status changes
Next Action: Continue polling until status changes
approved
approved
Request Approved - Human reviewer authorized the operation
Next Action: Proceed with the originally requested operation
Next Action: Proceed with the originally requested operation
denied
denied
Request Denied - Human reviewer rejected the operation
Next Action: Do not proceed; check feedback for reasons
Next Action: Do not proceed; check feedback for reasons
changerequested
changerequested
Changes Requested - Human reviewer wants modifications before approval
Next Action: Review feedback, make requested changes, and submit a new approval request with the updated parameters
Next Action: Review feedback, make requested changes, and submit a new approval request with the updated parameters
Handling Change Requests
When a request receiveschangerequested status, the AI agent should:
- Parse the feedback to understand what changes are needed
- Modify the request based on human feedback
- Submit a new approval request with updated parameters
- Reference the original request in metadata for audit trail
Security Considerations
The Velatir MCP server is designed as a defensive security tool:- Approval Gates - Prevents unauthorized operations by requiring explicit human consent
- Audit Trail - Every request and decision is logged for compliance
- Secure Communication - All communications are encrypted and authenticated
- No Execution - The server never executes operations, only manages approvals