Releases·Tool Release
ZennoPoster ships MCP servers letting Claude Code and Cursor edit visual automation graphs, shares six design decisions
The ZennoPoster team shipped MCP servers letting Claude Code, Cursor, and similar clients directly edit automation projects, which are graphs of actions. In a Reddit post, a team member outlines six design decisions for MCP tools that write rather than read: zoomable structure views, explicit edges, capability checks, verifiable saves, guarded destructive actions, and offscreen diagram rendering. The post offers practical patterns for anyone building MCP servers for agents that modify state.
6 engagement1 sourceWed, Sep 30, 2026, 05:45 AM
AI Overview
- ZennoPoster's MCP servers let Claude Code and Cursor edit automation projects as graphs, with zoom-level structure reads and SHA-256-verified saves
- A Capabilities tool returns key scopes, tier, and per-operation isAvailable with reasons like missing_scope or tier_too_low
- close_project returns 409 on unsaved changes unless discardUnsavedChanges is true; set_shared_code and project start require top-tier code:author scope
- get_diagram_image renders the schema offscreen so agents can visually verify edits, since actions lack coordinates and auto-layout
Related
Social·Community
Agent at build time, plain script at run time: how we handle browser tasks that run thousands of times
A ZennoPoster developer outlined how the Windows browser automation tool integrates LLMs without running them on every execution: agents edit and repair automation graphs at build/repair time, while runtime stays deterministic with limited isolated agent steps. The approach targets tasks run thousands of times daily, where per-run agent loops burn tokens and fail inconsistently. The post invites discussion on hybrid agent/deterministic workflow design.
A ZennoPoster developer outlined how the Windows browser automation tool integrates LLMs without running them on every execution: agents edit and repair automation graphs at build/repair time, while runtime stays deterministic with limited isolated agent steps. The approach targets tasks run thousands of times daily, where per-run agent loops burn tokens and fail inconsistently. The post invites discussion on hybrid agent/deterministic workflow design.
12 engagement1 sourceredditTue, Sep 29, 2026, 05:09 AM
Products·launched
Concord: MCP/CLI for coding agents to coordinate and message
Concord is an MCP and CLI tool that lets coding agents like Claude Code, Codex, and Cursor communicate and coordinate. It allows agents to claim work, see what others are doing, and message each other live, preventing duplicated or conflicting changes. It solves the problem of parallel agents lacking task context, similar to giving a team a shared communication channel.
Concord is an MCP and CLI tool that lets coding agents like Claude Code, Codex, and Cursor communicate and coordinate. It allows agents to claim work, see what others are doing, and message each other live, preventing duplicated or conflicting changes. It solves the problem of parallel agents lacking task context, similar to giving a team a shared communication channel.
12 engagement1 sourcehackernewsThu, Aug 27, 2026, 01:34 PM
Releases·Tool Release
PawBrowse open-source browser automation lets AI agents read pages as tables, halving round-trips vs screenshot-based drivers
A developer released PawBrowse, an open-source Chrome extension plus a single-file MCP server that lets AI agents like Claude Code or Cursor control a real, logged-in browser. Instead of screenshots, it gives agents a compact table of clickable elements with stable refs, letting each action complete in one round-trip. On a measured Booking.com task it used 5 agent round-trips versus 10 for screenshot-based driving, roughly halving latency and token cost.
A developer released PawBrowse, an open-source Chrome extension plus a single-file MCP server that lets AI agents like Claude Code or Cursor control a real, logged-in browser. Instead of screenshots, it gives agents a compact table of clickable elements with stable refs, letting each action complete in one round-trip. On a measured Booking.com task it used 5 agent round-trips versus 10 for screenshot-based driving, roughly halving latency and token cost.
10 engagement1 sourceredditSun, Sep 27, 2026, 11:27 AM
Products·launched
OnBridge — Chrome extension + MCP server letting coding agents drive your logged-in browser
OnBridge is a Chrome extension plus MCP server that lets Claude Code, Codex, or Cursor browse, click, and type in your real Chrome session with your existing logins and extensions, rather than a blank headless instance. An ask_user tool blocks agent actions until you approve them in a side panel, protecting against unwanted spending. It targets developers who want agents to act on authenticated sites.
OnBridge is a Chrome extension plus MCP server that lets Claude Code, Codex, or Cursor browse, click, and type in your real Chrome session with your existing logins and extensions, rather than a blank headless instance. An ask_user tool blocks agent actions until you approve them in a side panel, protecting against unwanted spending. It targets developers who want agents to act on authenticated sites.
1 engagement1 sourceredditFri, Sep 25, 2026, 07:38 PM
Products·building
AI coding agent creates real cloud infra behind dry-run + confirm
An MCP tool plugin for AI coding agents (Claude Code, Cursor) that provisions real cloud infrastructure (databases, auth, storage, hosting) on the user's cloud account. The agent creates projects, wires keys, and writes integration code, but requires a dry-run preview and explicit confirmation before any paid resource is created. Solves the trust and cost-control problem of letting AI directly manage cloud resources.
An MCP tool plugin for AI coding agents (Claude Code, Cursor) that provisions real cloud infrastructure (databases, auth, storage, hosting) on the user's cloud account. The agent creates projects, wires keys, and writes integration code, but requires a dry-run preview and explicit confirmation before any paid resource is created. Solves the trust and cost-control problem of letting AI directly manage cloud resources.
15 engagement1 sourceredditSun, Jul 12, 2026, 11:23 AM