Toolport vs AI Eyes
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
Toolport
Every tool, one port. One MCP setup for all your AI agents
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension | Toolport |  AI Eyes |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 138 votes | 63 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Developer Tools#GitHub#Artificial Intelligence#Open Source | #Developer Tools#OpenAI Day#Privacy#Open Source |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About Toolport
Toolport is a free, open-source local Model Context Protocol (MCP) gateway designed to simplify how developers manage tools across multiple AI agents. Created by cybersecurity veteran and solo builder Tyler, Toolport allows you to set up each MCP server just once, enabling seamless sharing across Claude, Cursor, VS Code, Codex, and over 29 other supported AI agents.
By default, managing multiple tools often means dumping extensive tool definitions directly into context, wasting valuable token space. Toolport solves this by exposing only a few meta-tools that your agent can search on demand. According to benchmarked tests, this approach delivers up to 91% fewer tokens used while maintaining the exact same task success rate.
Security is a core focus of Toolport. Instead of storing sensitive information in client configs, your secrets live safely in your OS keychain. Additionally, Toolport actively flags potential rug-pulls and tool poisoning attempts, while allowing you to set destructive calls to wait for your manual approval.
Pros of Toolport
- Set up MCP servers once and share them across 30+ AI agents including Claude, Cursor, and VS Code.
- Achieves up to 91% fewer tokens used by exposing on-demand meta-tools instead of dumping definitions into context.
- Enhanced security with secrets stored in your OS keychain rather than client configuration files.
- Built-in protection against rug-pulls and tool poisoning, with approval gates for destructive calls.
Cons of Toolport
- Requires local setup and configuration as a gateway.
- Compatibility depends on the supported AI agents and MCP server implementations.
- Security relies heavily on proper OS keychain configuration and user oversight for destructive calls.
Frequently Asked Questions
What is Toolport?
Toolport is a free, open-source local MCP (Model Context Protocol) gateway that lets you set up each server once so it can be shared across multiple AI agents like Claude, Cursor, VS Code, and Codex.
How does Toolport reduce token usage?
Instead of dumping every tool definition into the context window, Toolport exposes a few meta-tools that your AI agent can search on demand, resulting in up to 91% fewer tokens used at the same task success rate.
How does Toolport handle security and secrets?
Toolport keeps your secrets secure by storing them directly in your OS keychain rather than in client configuration files. It also flags tool poisoning and rug-pulls, and can pause destructive calls until you give approval.
Which AI agents are compatible with Toolport?
Toolport supports Claude, Cursor, VS Code, Codex, and 29 more AI agents.
About AI Eyes
AI Eyes is a permission-first co-presence prototype designed for AI companions. Created by developer Deen Storkey, this open-source tool establishes a privacy-focused, local-first foundation for managing what your digital companions can see and hear.
With its initial v0.1 release, AI Eyes allows users to choose a specific screen or window to capture and gives granular, separate controls for screen, system audio, and microphone inputs. The interface makes it easy to invite named companions and ensures transparency by always displaying when sensing is active. Users can pause or end sessions at any time; ending a session immediately stops all media tracks and resets the session completely.
Built using Codex and GPT-5.6, this prototype is focused entirely on local-first permission, presence, and session-control. Please note that in this foundational stage, no external AI provider or semantic understanding has been connected yet.
Pros of AI Eyes
- Privacy-focused, local-first permission architecture
- Separate, granular control over screen, system audio, and microphone capture
- Clear visual indicators showing when active sensing is occurring
- Open-source code base allowing developers to review and build upon the prototype
Cons of AI Eyes
- It is a prototype (v0.1) and does not yet have an active AI provider or semantic understanding connected
- Limited to foundational capture and session-control features at this stage
Frequently Asked Questions
What is AI Eyes?
AI Eyes is an open-source, permission-first co-presence prototype built to manage what AI companions can access. It provides local-first controls over screen sharing, audio, and session state.
Does AI Eyes currently analyze my screen or voice?
No. In the v0.1 release, no AI provider or semantic understanding is connected. The prototype is currently a local-first foundation focused on permission, capture, presence, and session-control.
How do I control my privacy while using AI Eyes?
AI Eyes lets you choose exactly which screen or window to capture and gives you separate toggle controls for your screen, system audio, and microphone. There is also a clear indicator to show when sensing is active, and you can pause or end the session to stop all media tracks instantly.
What technologies were used to build AI Eyes?
The AI Eyes prototype was built using Codex and GPT-5.6.