toolrouteRoute every task to the best MCP server and cheapest LLM. Scores on real execution data across quality, reliability, speed, cost, and trust.
Install via ClawdBot CLI:
clawdbot install grossiweb/toolrouteGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://toolroute.io/api/routeCalls external URL not in known-safe list
https://toolroute.io/privacyAI Analysis
The skill sends task descriptions to an external API for routing, which is consistent with its stated purpose, but this creates a potential data exfiltration risk if sensitive information is included. The privacy policy is referenced, and the documentation advises users to generalize sensitive tasks, but the data flow to a third-party service remains. No credential harvesting or hidden malicious instructions are evident.
Audited Apr 17, 2026 · audit v1.0
Generated May 21, 2026
A customer support chatbot uses ToolRoute to route each query to the cheapest LLM that meets quality and speed thresholds. Based on telemetry, the system dynamically adjusts to balance cost and user satisfaction across thousands of daily conversations.
A marketing agency automates blog and social media content by routing each task to the best MCP server for style and tone. The tool selects cost-effective models for volume tasks and premium models for high-stakes copy, improving output consistency and reducing spend by 40%.
A fintech startup deploys an AI advisor that routes sensitive client queries to trusted, compliant MCP servers and models. The task descriptions are generalized to protect privacy, while telemetry ensures continuous improvement without compromising security.
A development team integrates ToolRoute into their CI/CD pipeline to route code review tasks to specialized models. The tool picks the best model for each file, considering context length and accuracy, while reporting outcomes to refine future selections.
An online retailer uses ToolRoute to route real-time personalization requests (recommendations, offers) to the cheapest model that meets latency targets. Telemetry data helps optimize for click-through rates while controlling infrastructure costs.
Users earn credits by reporting outcome telemetry, which can be used to pay for routing requests. This creates a self-sustaining economy where heavy users contribute data to improve the system.
Offers tiered plans (e.g., Basic, Pro, Enterprise) based on route volume and premium features like priority routing, custom model selection, and advanced analytics. Credits can still be earned to offset costs.
Licenses the routing engine to enterprises and AI platform providers as a private, on-premise solution. Customers pay a one-time setup fee plus annual maintenance, with optional telemetry anonymization for shared improvement.
💬 Integration Tip
Start by routing a single task via curl to see recommendations, then wrap your LLM calls with the ToolRoute API using the provided SDK or hook for seamless integration.
Scored May 21, 2026
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