genpark-proactive-intent-disambiguation-clarifier-skill
OfficialClick on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@genpark-proactive-intent-disambiguation-clarifier-skillI want to delete all inactive users before running the cleanup."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
genpark-proactive-intent-disambiguation-clarifier-skill
🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation
🌟 Overview
genpark-proactive-intent-disambiguation-clarifier-skill delivers robust, industrial-grade capabilities for autonomous agents, copilot frameworks, and personal assistant architectures. Built exclusively on the Python standard library with zero external runtime dependencies, it integrates seamlessly as a native Model Context Protocol (MCP) server or an importable Python module.
Proactive High-Stakes Intent Disambiguator & Option Clarifier. Detects under-specified user goals, assesses reversibility and risk, and constructs minimal multiple-choice clarifications before triggering autonomous execution.
💡 Key Capabilities
Zero-Dependency Architecture: Runs anywhere Python 3.9+ is installed without
pip installoverhead or supply-chain vulnerabilities.Model Context Protocol (MCP) First: Compatible with Claude Desktop, Cursor, GenPark Engine, and custom agentic frameworks.
Deterministic & Safe: Designed with strict validation, graceful error handling, and structured telemetry.
High Concurrency & Low Latency: In-memory caching and optimized data structures for real-time agent execution loops.
Related MCP server: MCP Permission Guard
🚀 Quickstart
1. Direct Python Usage
from client import ProactiveIntentDisambiguationClarifier
client = ProactiveIntentDisambiguationClarifier()
result = client.disambiguate_intent()
print(result)2. Standalone MCP Server Execution
Run the MCP server via standard JSON-RPC 2.0 stdio:
python mcp_server.pyVerify standard compliance and self-tests:
python mcp_server.py --test3. Claude Desktop / Cursor MCP Configuration
Add this tool to your claude_desktop_config.json or Cursor MCP settings:
{
"mcpServers": {
"genpark-proactive-intent-disambiguation-clarifier-skill": {
"command": "python",
"args": ["/absolute/path/to/genpark-proactive-intent-disambiguation-clarifier-skill/mcp_server.py"]
}
}
}🛠️ Verification & Testing
Run the included verification suite:
python example_usage.py📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
Developed with ❤️ by the GenPark Autonomous Agent Ecosystem Team.
This server cannot be deployed
Maintenance
Related MCP Connectors
Decision-assurance for AI agents: an auditable action boundary + receipt before it acts.
Machine-verifiable authorization checks for autonomous AI agents.
Reversibility intelligence and durable exit evidence for AI agents before real-world commitments.
MERCATOR Verify: evidence-backed verification and decision support for autonomous agents.
Related MCP Servers
- AlicenseAqualityAmaintenanceRuntime budget authority for autonomous agents - a set of tools to check, reserve, spend, and release budget before and after every costly, risky operation. The agent asks "can I afford this?" before acting, and reports what it actually used afterward.973 npmApache 2.0
- AlicenseNot gradedqualityCmaintenanceA pre-action authorization server for AI agents that classifies tool calls into 14 intent categories, scores risk 0-100, and produces deterministic allow/deny/ask decisions with full audit trail.MIT
- AlicenseNot gradedqualityBmaintenanceA public-safe research prototype for controlling AI-agent tool actions with deterministic policy, risk-based human approval, time-bound authorization and a tamper-evident audit chain.1MIT
- AlicenseNot gradedqualityCmaintenanceEnables Alexa+ agents to maintain auditable operational continuity across shifts by turning speech into verifiable state, persisting unresolved work, refusing unverified actions, and requiring human approval before executing and confirming high-risk tasks.MIT