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ProWorkBench
Local-first AI workbench with approvals and execution control.·proworkbench.com
ProWorkBench is a controlled AI workspace that developers install and run on their own machine. Users bring their own OpenAI-compatible backend, manage Model Context Protocol (MCP) servers, and must approve every tool call before it executes. It provides an execution layer with explicit approvals, tool governance, and local logging rather than a hosted, autonomous AI assistant.
What it's for
Setting up and managing local dev environments for AI workApproving or denying AI tool calls before executionManaging and configuring MCP servers from one placeRunning doctor checks to verify environment and backend healthReviewing local logs of conversations, tool calls, and approvals
Features 12
- Approvals system requiring explicit confirmation before any tool call runs
- Block-by-default tools with per-risk policy controls
- Bring-your-own OpenAI-compatible backend support
- Canvas that stores outputs only and never executes actions
- Doctor checks to verify environment, backend connection, and tool health
- Local state and logging via a local SQLite database
- MCP server manager to add, configure, enable, and disable MCP servers
- Native installers for Windows, macOS, and Linux
- No hosted dashboard or server-side account required
- Telegram and Slack integration restricted to chat/inbox/notifications only, with tool/MCP execution hard-blocked from those channels
- Tool governance dashboard showing every loaded tool, its source, and permissions
- Unified approval queue for tool runs and MCP lifecycle actions
At a glance
TypeDesktop app
DeploymentInstalled (local)
PlatformsWindows, macOS, Linux
Fordevelopers, operators
CompanyProWorkBench
Integrations
OpenAIOllamaLM StudiovLLMllama.cppAnthropicTelegramSlackText Generation WebUI
Resources
Pricing
A one-time license is offered with instant download after purchase and a 30-day money-back guarantee. Specific pricing is not publicly listed.