io.github.sidebutton/sidebutton MCP Server

Open-source MCP server for AI agents. It provides browser automation and “knowledge packs” to support agentic coding, along with AI workflow automation. The project is associated with SideButton and includes TypeScript-based components and configuration typically expressed in YAML.

🛠️ Key Features

Browser automation
Knowledge packs
MCP server
AI workflow automation
TypeScript
YAML-based workflows

🚀 Use Cases

Agentic coding workflows
Browser-driven automation for AI agents
Using knowledge packs within MCP-based agent setups
Agentic workflows expressed via YAML

⚡ Developer Benefits

Tooling for MCP integration
Support for agentic coding and agentic workflows
Fits TypeScript and YAML developer stacks

⚠️ Limitations

Server behavior beyond browser automation, knowledge packs, and workflow automation is not described in the provided data.

SideButton

Open-source AI agent platform for agentic coding — MCP server, knowledge packs, and AI workflow automation.

sidebutton.com · docs.sidebutton.com

Run AI coding agents with agentic workflows, knowledge packs, and real browser control. Connect Claude Code, Codex, Cursor, ChatGPT, or any MCP client.

bash

npx sidebutton@latest
# Dashboard at http://localhost:9876

What you get


MCP Server	AI agent tools for browser control, workflow execution, and knowledge pack access. Stdio and SSE transports.
REST API	Trigger workflows remotely from webhooks, cron jobs, mobile apps, or other agents.
Workflow Engine	AI workflow automation with browser, git, issue-tracking, LLM, shell, and control-flow steps. Define agentic workflows in YAML.
Knowledge Packs	Installable domain knowledge — CSS selectors, data models, state machines. Role playbooks turn coding agents into an AI software engineer, QA, or PM.
Chrome Extension	Browser commands with real DOM access via WebSocket, not screenshots. Recording mode.
Dashboard	Svelte UI — workflow browser, run logs, skill pack manager, system status.

Quick Start

bash

# Install and start
npx sidebutton@latest

# Or from source
pnpm install && pnpm build && pnpm start

# Open http://localhost:9876

CLI

bash

pnpm cli serve          # Start server with dashboard
pnpm cli serve --stdio  # Start with stdio transport (for Claude Desktop)
pnpm cli list           # List available workflows
pnpm cli status         # Check server status

# Skill pack management
pnpm cli registry add <path|url>   # Install skill packs from a registry
pnpm cli registry update [name]    # Update installed packs
pnpm cli registry remove <name>    # Uninstall packs and remove registry
pnpm cli search [query]            # Search available skill packs

# Creating skill packs
pnpm cli init [domain]             # Scaffold a new skill pack
pnpm cli validate [path]           # Validate pack structure
pnpm cli publish [source]          # Publish to a registry

MCP Server

SideButton is an open-source MCP server for AI coding agents. Agents connect to it directly for browser control, workflow automation, and domain knowledge.

Works with Claude Code, Codex, Cursor, Claude Desktop, VS Code, Windsurf, ChatGPT — any MCP client.

Claude Code

bash

claude mcp add sidebutton --transport http http://localhost:9876/mcp

Persists to ~/.claude.json; add --scope project to write ./.mcp.json instead. Full guide: Claude Code SideButton MCP setup.

Codex

Add to ~/.codex/config.toml:

toml

[mcp_servers.sidebutton]
command = "sidebutton"
args = ["serve", "--stdio"]

Full guide: OpenAI Codex SideButton MCP setup.

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

json

{
  "mcpServers": {
    "sidebutton": {
      "command": "npx",
      "args": ["sidebutton", "--stdio"]
    }
  }
}

Cursor

Add to ~/.cursor/mcp.json:

json

{
  "mcpServers": {
    "sidebutton": {
      "url": "http://localhost:9876/mcp"
    }
  }
}

MCP Tools

Tool	Description
`run_workflow`	Execute a workflow by ID
`get_run_log`	Get execution log for a run
`list_workflows`	List all available workflows
`get_workflow`	Get workflow YAML definition
`list_run_logs`	List recent workflow executions
`publish_artifact`	Publish evidence (screenshots, reports) from a session
`get_browser_status`	Check browser extension connection
`capture_page`	Capture selectors from current page
`navigate`	Navigate browser to URL
`snapshot`	Get page accessibility snapshot
`click`	Click an element
`type`	Type text into an element
`press_key`	Send keyboard keys
`scroll`	Scroll the page
`extract`	Extract text from element
`screenshot`	Capture page screenshot (pass `path` to write a PNG file instead of returning image bytes)
`select_option`	Select dropdown option
`fill`	Fill input value (React-compatible)
`wait`	Wait for element or delay
`exists`	Check if element exists
`extract_all`	Extract all matching elements
`extract_map`	Extract structured data from repeated elements
`scroll_into_view`	Scroll element into viewport
`hover`	Hover over element
`inject_css`	Inject CSS into the page (blur/hide elements before a screenshot)
`evaluate`	Execute JavaScript in browser
`browser_batch`	Run a sequence of browser actions in one call
`set_basic_auth`	Set HTTP Basic Auth credentials for the connected tab
`clear_basic_auth`	Clear stored HTTP Basic Auth credentials

REST API

JSON endpoints for external integrations. The same workflows are available via MCP locally and via REST remotely.

bash

# Run a workflow
curl -X POST http://localhost:9876/api/workflows/check_ticket/run \
  -H "Content-Type: application/json" \
  -d '{"params": {"ticket_id": "PROJ-123"}}'

# List workflows
curl http://localhost:9876/api/workflows

# Get run log
curl http://localhost:9876/api/runs/latest

Trigger workflows from webhooks, cron jobs, mobile apps, or other agents on different machines.

Workflow Engine

YAML-first orchestration for agentic workflows. Step types by family:

Step Types

Family	Steps
`browser.*`	navigate, click, type, fill, extract, extractAll, extractMap, snapshot, screenshot, wait, exists, hover, key, scroll, scrollIntoView, select_option, injectCSS, injectJS
`git.*`	createPR, getPR, listPRs, getIssue, listIssues
`issues.*`	create, get, search, comment, attach, transition
`llm.*`	classify, decide, generate
`control.*`	if, foreach, retry, stop
`shell` / `terminal`	shell.run, terminal.open, terminal.run
`data.*`	first, get
`workflow.call`	Call another workflow with parameters

LLM steps work with Ollama (local), OpenAI, and Anthropic.

Example

yaml

id: check_ticket_status
title: "Check Jira ticket and classify"
steps:
  - type: browser.navigate
    url: "https://your-org.atlassian.net/browse/{{ticket_id}}"
  - type: browser.extract
    selector: "[data-testid='status-field']"
    as: current_status
  - type: control.if
    condition: "{{current_status}} != 'Done'"
    then:
      - type: llm.classify
        prompt: "Should this ticket be closed? Context: {{current_status}}"
        classes: [close, keep_open]
        as: decision

Variable Interpolation

Use {{variable}} syntax to reference extracted values or parameters:

yaml

steps:
  - type: browser.extract
    selector: ".username"
    as: user
  - type: shell.run
    cmd: "echo 'Hello, {{user}}!'"

Knowledge Packs

Installable domain knowledge (skill packs) per web app or domain. Knowledge packs power AI code review, automated testing, and enterprise AI agent deployments.

Also referred to as skill packs in code and CLI commands.

Selectors — CSS selectors for UI elements
Data models — entity types, fields, relationships, valid states
State machines — valid transitions per state
Role playbooks — role-specific procedures (QA, SE, PM, SD)
Common tasks — step-by-step procedures, gotchas, edge cases

bash

sidebutton install github.com
sidebutton install atlassian.net

Open registry with published packs for popular web apps. Build and share packs for any domain.

Chrome Extension

Install the SideButton Chrome Extension from the Chrome Web Store.

Browser commands — navigate, click, type, extract, scroll, wait, snapshot
Real DOM access via CSS selectors — not pixel coordinates, not screenshots
Recording mode — capture manual actions as workflows
Embed buttons — inject action buttons into any web page
WebSocket connection — stable reconnection, works with local or remote server

After installing:

Navigate to any website
Click the SideButton extension icon
Click "Connect This Tab"

Dashboard & Observability

Svelte UI at http://localhost:9876:

Workflow browser — list, search, run
Run logs — step-by-step execution traces with timing, variables, errors
Skill pack manager — install, browse, inspect
System status — extension connection, LLM config, server health

SideButton handles multi-agent orchestration — from workflow execution to knowledge injection.

Architecture

code

┌──────────────────────────────────────────────────────────────────────────┐
│                          @sidebutton/server                               │
│                                                                          │
│  ┌─────────────────────┐   ┌──────────────────────────────────────────┐  │
│  │  stdio Transport    │   │    Fastify HTTP + WebSocket (port 9876)  │  │
│  │  ─────────────────  │   │    ────────────────────────────────────  │  │
│  │  stdin → JSON-RPC   │   │  GET  /        → Dashboard (Svelte)      │  │
│  │  stdout ← JSON-RPC  │   │  GET  /ws      → Chrome Extension WS     │  │
│  │  (Claude Desktop)   │   │  POST /mcp     → MCP JSON-RPC (SSE)      │  │
│  └──────────┬──────────┘   │  GET  /api/*   → REST API                │  │
│             │              └──────────────────────┬───────────────────┘  │
│             │                                     │                      │
│             └──────────────────┬──────────────────┘                      │
│                                ▼                                         │
│  ┌────────────────────────────────────────────────────────────────────┐  │
│  │                       @sidebutton/core                              │  │
│  │                                                                     │  │
│  │  - Workflow types & parser (YAML)                                  │  │
│  │  - Step executors (YAML step types)                                │  │
│  │  - Variable interpolation                                          │  │
│  │  - Execution context & events                                      │  │
│  └────────────────────────────────────────────────────────────────────┘  │
└──────────────────────────────────────────────────────────────────────────┘
      ▲                ▲                      ▲                      ▲
      │ stdio          │ WebSocket            │ HTTP POST            │ REST
      ▼                ▼                      ▼                      ▼
┌──────────────┐ ┌─────────────────┐ ┌─────────────────┐ ┌───────────────────┐
│Claude Desktop│ │ Chrome Extension│ │   Claude Code   │ │   Mobile App      │
│ (MCP stdio)  │ │ (Browser Auto)  │ │   (MCP SSE)     │ │   (REST Client)   │
└──────────────┘ └─────────────────┘ └─────────────────┘ └───────────────────┘

Project Structure

code

sidebutton/
├── packages/
│   ├── core/              # @sidebutton/core — workflow engine
│   │   └── src/
│   │       ├── types.ts       # Workflow types
│   │       ├── parser.ts      # YAML loader
│   │       ├── executor.ts    # Workflow runner
│   │       └── steps/         # Step implementations
│   ├── server/            # @sidebutton/server — MCP + HTTP + CLI
│   │   ├── bin/               # CLI entry point
│   │   └── src/
│   │       ├── server.ts      # Fastify HTTP server
│   │       ├── stdio-mode.ts  # stdio transport entry point
│   │       ├── extension.ts   # WebSocket client
│   │       ├── mcp/           # MCP handlers
│   │       │   ├── handler.ts    # MCP JSON-RPC logic
│   │       │   ├── stdio.ts      # stdio transport adapter
│   │       │   └── tools.ts      # Tool definitions
│   │       └── cli.ts         # Commander CLI
│   └── dashboard/         # Svelte web UI
│       └── src/
│           ├── App.svelte
│           └── lib/
├── extension/             # Chrome extension
├── workflows/             # Public workflow library
├── actions/               # User-created workflows
├── skills/                # Installed skill packs
└── run_logs/              # Execution history

Environment Variables

Variable	Required For	Description
`OPENAI_API_KEY`	`llm.*` steps	OpenAI API key for LLM workflows
`ANTHROPIC_API_KEY`	`llm.*` steps	Anthropic API key (alternative)

Development

bash

pnpm install       # Install dependencies
pnpm build         # Build all packages
pnpm start         # Start server
pnpm cli list      # List workflows
pnpm cli status    # Check status

Watch Mode

bash

pnpm dev              # Full dev mode (all packages)
pnpm dev:server       # Server with auto-restart on :9876
pnpm dev:dashboard    # Dashboard watch build
pnpm dev:core         # Core library watch build

Platform Automation Disclaimer

SideButton is a general-purpose browser automation framework. When automating third-party platforms:

Review Terms of Service: Many platforms prohibit or restrict automation. You are responsible for complying with the terms of any platform you automate.
Account Risk: Automation may result in account restrictions or suspension on some platforms.
Use Responsibly: Only automate actions you would perform manually. Respect rate limits and platform guidelines.

The authors do not endorse or encourage violations of third-party terms of service.

License

This project uses mixed licensing — see LICENSING.md:

Engine, server, CLI, dashboard — Apache-2.0
Browser extension — FSL-1.1-Apache-2.0 (converts to Apache-2.0 on 2029-03-15)

SideButton MCP Server

io.github.sidebutton/sidebutton MCP Server

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

Topics

SideButton

What you get

Quick Start

CLI

MCP Server

Claude Code

Codex

Claude Desktop

Cursor

MCP Tools

REST API

Workflow Engine

Step Types

Example

Variable Interpolation

Knowledge Packs

Chrome Extension

Dashboard & Observability

Architecture

Project Structure

Environment Variables

Development

Watch Mode

Platform Automation Disclaimer

License

Install

Configuration

Related servers