Semwright
Semwright is a semantic interface that lets AI agents discover and operate on objects in real applications through typed requests, explicit permissions, and inspectable results. It provides a shared broker for CLI, MCP, and inspector workflows, with application-specific drivers.
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Quick Overview
Best for: Software & Gaming
What it does
AI Tools software for decision-makers comparing workflow fit and alternatives.
Best fit
Software & Gaming
Pricing snapshot
Pricing available on request
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Semwright is a semantic computer interface for AI agents working with real software. Instead of relying on guessed screen coordinates, an agent can discover application capabilities, address named objects, and request typed operations with explicit inputs.
A broker checks the requested operation and its scope against policy before dispatch. Semwright uses scoped object references and session-bound jobs, then provides readback and execution evidence so the result can be inspected. The CLI, MCP frontend, inspector, and recipes share this execution boundary. Application coverage is provided through version-specific drivers, including drivers for Figma, Chromium, Blender, Godot, and MLT.
Give AI agents structured access to real software Discussion | Link
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Claim this listing for $29Key Features
Semantic application objects
Drivers expose application objects and capabilities—such as document nodes, scene objects, or timeline clips—so agents can work with named elements rather than approximate pixel positions.
Typed operations and capability registry
Agents can discover named operations and their typed inputs, schemas, permissions, and execution contracts.
Policy-checked execution
Policy evaluates an operation's authority, scope, and limits before it can dispatch. Discovery alone does not grant permission to execute.
Scoped references
References identify objects within a session. Stale or invalid references must be resolved again rather than used to guess a target.
Inspectable jobs and results
Session-bound jobs expose progress and results, with cooperative cancellation where supported. Readback and execution evidence help describe what happened.
Shared broker for multiple frontends
The CLI, MCP frontend, inspector, and recipes reach application providers through the same broker boundary.
Application drivers
Drivers describe application-specific objects, operations, and limits. The page lists drivers for Figma, Chromium, Blender, Godot, and MLT.
Pricing
Current pricing details are not available from the vendor source.
Use Cases
Agent-driven application workflows
Use typed operations to locate application objects, request changes within policy, and inspect the resulting state instead of relying on screen-coordinate guesses.
Structured creative-software automation
Work with elements such as Figma nodes, Blender scene objects and materials, or MLT timeline clips through application drivers.
Cross-application media workflows
The page demonstrates a workflow that updates materials in Blender, renders a camera shot, creates titles in Motion Canvas, and assembles video and audio with MLT.
Controlled agent access to desktop applications
Keep application changes, input, and capture behind explicit permissions and a shared execution path used by the CLI, MCP, and recipes.
Integrations
Figma
The listed driver addresses pages, nodes, components, variables, prototypes, and exports through the official Figma Plugin API.
Chromium
The experimental driver works with browser tabs and the DOM.
Blender
The experimental native driver works with scene objects and materials.
Godot
Godot is included in the page's cross-application proof examples alongside Blender.
MLT
The listed experimental video driver addresses timelines, tracks, and clips as structured objects.
MCP clients
Semwright provides an MCP frontend; setup generates an MCP snippet to copy into a client.
Benefits
Limitations
Frequently Asked Questions
Is Semwright another AI agent?
Why not just give an agent a shell?
Is Semwright only an MCP server?
What can I use today?
What does cross-platform mean today?
Getting Started
- 1 Choose the native bundle for your operating system and architecture: Linux, macOS, or Windows, with x64 and ARM64 downloads listed.
- 2 Verify the release manifest before extracting the download.
- 3 Run ./install.sh from the extracted directory on Linux or macOS, or .\Install-Semwright.ps1 on Windows.
- 4 Run semwright setup using the exact installed path printed by the helper, then copy the generated MCP snippet into your client.
Support
Documentation
The site links to documentation and an installation guide.
Compatibility guide
The page directs users to the compatibility guide for application coverage evidence and environment-specific limits.
Source and community
The site links to the source code and contribution information.
API
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