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Arc Browser Mcp

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Arc Browser MCP Server — control tabs, navigate, execute JS, and capture screenshots via AppleScript (macOS only)

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Описание

Arc Browser MCP Server — control tabs, navigate, execute JS, and capture screenshots via AppleScript (macOS only)

README

A collection of Model Context Protocol (MCP) servers developed by Arvore for seamless integration with AI assistants like Claude.

CI License: MIT

📦 Packages

This monorepo contains the following MCP servers:

@arvoretech/aws-secrets-manager-mcp

Manage AWS Secrets Manager secrets directly from your AI assistant.

Features:

  • Create, read, update, and delete secrets
  • List all secrets in your account
  • Describe secret metadata

@arvoretech/datadog-mcp

Query and analyze Datadog monitoring data.

Features:

  • Query metrics and time series data
  • Search logs
  • Get service maps and APM data
  • List hosts and active metrics
  • Search traces

@arvoretech/mysql-mcp

Execute read-only MySQL queries safely.

Features:

  • Execute SELECT queries
  • List tables in database
  • Read-only operations for safety

@arvoretech/postgresql-mcp

Execute read-only PostgreSQL queries safely.

Features:

  • Execute SELECT queries
  • List tables, schemas, and databases
  • Describe table structure
  • Full schema support
  • Read-only operations for safety

@arvoretech/clickhouse-mcp

Execute read-only ClickHouse queries safely.

Features:

  • Execute SELECT queries
  • List tables and databases
  • Describe table structure (columns, types, keys)
  • Read-only operations for safety

@arvoretech/npm-registry-mcp

Search and get information about npm packages.

Features:

  • Get package information and metadata
  • Get download statistics
  • Search packages by query

@arvoretech/launchdarkly-mcp

Manage LaunchDarkly feature flags directly from your AI assistant.

Features:

  • List, search, create, and delete feature flags
  • Toggle flags ON/OFF per environment
  • Add targeting rules (in, contains, segmentMatch, etc.)
  • List and inspect segments
  • Multi-environment support (production, test, etc.)

@arvoretech/tempmail-mcp

Self-hosted temporary email server with SMTP + SQLite.

Features:

  • Built-in SMTP server to receive real emails
  • Create and manage temporary email accounts
  • Read, list, and delete emails
  • SQLite storage — no third-party dependencies
  • Configurable domain via AWS Route 53

@arvoretech/google-chat-mcp

Google Chat integration for managing spaces, members, and messages.

Features:

  • List and inspect Google Chat spaces
  • List space members
  • Read message history with filtering and pagination
  • Send messages (with thread support)
  • Delete messages
  • Service account JWT auth (no external dependencies)
  • Domain-wide delegation for full user-level access

@arvoretech/gmail-mcp

Gmail integration — read, send, and manage messages with OAuth user flow.

Features:

  • Search messages with full Gmail query syntax (from:, is:unread, newer_than:, etc.)
  • Read messages and full threads with parsed headers and body
  • Create drafts (always available, even with sending disabled)
  • Send mail and reply with proper threading (In-Reply-To, References, threadId)
  • Modify labels (mark read, archive, star, trash)
  • OAuth Desktop client flow with browser-based login
  • Encrypted token storage (AES-256-GCM + macOS keychain)
  • Send-mode opt-in via GMAIL_MCP_ALLOW_SEND to prevent accidental sends

@arvoretech/memory-mcp

Team memory — persistent knowledge base with semantic search for AI-assisted development.

Features:

  • Semantic search across team memories using local embeddings
  • Multilingual support (Portuguese + English) via paraphrase-multilingual-MiniLM-L12-v2
  • Categories: decisions, conventions, incidents, domain, gotchas
  • Create, archive, and remove memories via MCP tools
  • Embedding cache for fast startup
  • Keyword fallback when embeddings are unavailable

@arvoretech/runtime-lens-mcp

Runtime Lens — Runtime inspection with inline values for React, NestJS and Next.js. Two components in one package: a VS Code/Cursor/Kiro extension with inline value display and an MCP server for AI-assisted debugging.

Features:

  • Inline runtime values displayed in the editor
  • Runtime agent injected via --require that patches console.log/warn/error/debug
  • WebSocket-based communication between agent and extension
  • 14 MCP tools for AI-assisted debugging: log tailing, regex search, error inspection, HTTP request inspection, performance metrics, and more
  • Framework detection for React, NestJS, and Next.js
  • Real-time console capture with start/stop control
  • Permanent setup via ~/.zshrc — no need to inject every session

@arvoretech/meet-transcriptions-mcp

Semantic search across meeting transcriptions generated by Meet Transcriber.

Features:

  • Semantic search using local multilingual embeddings (paraphrase-multilingual-MiniLM-L12-v2)
  • LanceDB vector store with keyword fallback
  • Filter by speaker
  • List and retrieve full transcription content
  • Reads .md files from ~/Documents/meet-transcriptions/ by default

@arvoretech/sendgrid-mcp

Manage SendGrid Dynamic Templates directly from your AI assistant.

Features:

  • List, create, update, and delete dynamic templates
  • Create and manage template versions (HTML content, subject, plain text)
  • Activate specific template versions
  • Full CRUD for templates and versions via SendGrid API v3

@arvoretech/await-until-mcp

Polling/waiting primitives — repeatedly check conditions until they're met or time out.

Features:

  • Execute shell commands until output matches a condition
  • Poll HTTP endpoints until they return expected status/body
  • Watch filesystem until files exist, disappear, or contain content
  • Call any other MCP server's tool and poll until the result matches (auto-discovers from mcp.json)
  • Configurable interval, timeout, and match conditions

@arvoretech/mcp-proxy

MCP Proxy Gateway — consolidates N upstream MCP servers behind 2 tools.

Features:

  • Exposes only mcp_search and mcp_call to the agent
  • Semantic search using multilingual embeddings (paraphrase-multilingual-MiniLM-L12-v2)
  • Hybrid ranking: BM25 lexical + cosine similarity
  • Output shaping: strips redundant fields, truncates text, assigns short refs
  • Cursor-based pagination with TTL
  • Supports stdio and HTTP transports with env var expansion

@arvoretech/agent-teams-lead-mcp

Agent Teams Lead — spawn and coordinate multiple AI agent sessions working together as a team. Inspired by Anthropic's agent teams for Claude Code, built as an editor-agnostic MCP layer.

Features:

  • Spawn teammates as independent CLI processes (Kiro, Cursor, Claude Code, OpenCode)
  • Shared task list with dependencies and exclusive file paths
  • Inter-agent messaging (direct, broadcast, or to lead)
  • Atomic mkdir-based file locking for safe parallel task claiming
  • Audit log in .agent-teams/team.log

@arvoretech/agent-teams-teammate-mcp

Agent Teams Teammate — MCP injected into each teammate session for claiming tasks, messaging, and publishing artifacts.

Features:

  • Claim pending tasks with dependency and lock validation
  • Communicate with other teammates and the lead
  • Publish artifacts (markdown, JSON, or code) linked to tasks
  • Automatically injected by the lead — no manual configuration needed

@arvoretech/agent-teams-chat-mcp

Agent Teams Chat — cross-developer agent communication via Slack threads. Enables AI agents from different developers to communicate asynchronously through a shared Slack channel.

Features:

  • Open conversation threads in a team Slack channel
  • Reply to existing threads
  • Read thread messages and catch up on conversations
  • List recent threads with reply counts and participants
  • Search threads by topic or content
  • Configurable message format using handlebars-style templates

@arvoretech/agent-teams-ui

Agent Teams UI — TUI dashboard for monitoring agent teams in real time. Watches .agent-teams/ and auto-refreshes.

Features:

  • Team view with per-teammate task counts and current activity
  • Kanban board with task selection and detail view
  • WhatsApp-style message view with date separators and sender grouping
  • Chat view showing agent stdout as conversation, filterable by agent
  • Live timer, progress bar, and new-activity indicators per tab
  • Auto-refresh via filesystem watching (chokidar)

@arvoretech/kanban-mcp

Persistent kanban boards for AI agents — manage tasks across sessions with multi-agent coordination, semantic search, and a Linear-style web UI.

Features:

  • 12 MCP tools for board and card management
  • Multi-session: claim/release cards with session tracking across parallel chats
  • Semantic search via LanceDB with multilingual embeddings
  • Subtasks via parent_card_id
  • Optional web UI (Linear-style dark theme with drag-and-drop, hotkeys, context menus)
  • JSON persistence with atomic writes
  • Re-read from disk for multi-process visibility

@arvoretech/metabase-mcp

Interact with Metabase BI platform directly from your AI assistant.

Features:

  • CRUD for cards (questions), dashboards, and collections
  • List databases and tables
  • Execute native SQL queries
  • Run saved card queries
  • Add cards to dashboards
  • Get collection items

@arvoretech/mgc-mcp

Manage Magalu Cloud infrastructure through the MGC CLI.

Features:

  • Virtual Machines: list, create, start, stop, reboot, delete
  • Object Storage: buckets and objects management
  • Networking: VPCs, subnets, public IPs
  • Kubernetes: cluster management and kubeconfig retrieval
  • Block Storage and DBaaS instance listing
  • Semantic search across Magalu developer documentation
  • Configurable region via MGC_REGION env var

@arvoretech/arc-browser-mcp

Control Arc Browser on macOS via a hybrid AppleScript + Chrome DevTools Protocol approach.

Features:

  • Tab management: list, open, close, search, focus
  • Space management: list, get active, switch
  • Screenshots via CDP (viewport or full page)
  • Network request capture and console log monitoring
  • DOM interaction: click, hover, type, scroll, wait for selector
  • JavaScript execution (AppleScript for quick queries, CDP for async/await)
  • Cookie inspection and page content extraction

@arvoretech/posthog-mcp

PostHog analytics, feature flags, experiments, and more. Works with both PostHog Cloud and self-hosted instances.

Features:

  • HogQL queries and structured queries (Trends, Funnels, Retention, Lifecycle, Paths, Stickiness)
  • Feature flags: create, update, list, delete with rollout control
  • A/B test experiments with variants and metrics
  • Dashboards and saved insights management
  • Event and property definitions exploration
  • Persons search and cohort management
  • Surveys, early access features, and annotations
  • Cross-entity search

@arvoretech/slack-advanced-mcp

Advanced Slack integration using user tokens -- messages sent as the authenticated user.

Features:

  • Fuzzy user search with disk cache (47k+ users load instantly)
  • Smart DM: resolve user by name/email/ID, auto-open DM channel
  • Writing style analysis (emoji usage, punctuation, vocabulary, formality)
  • Thread extraction from Slack URLs with participant resolution
  • Audio transcription via ElevenLabs STT
  • Image download and base64 return for model analysis
  • Rate limit retry with backoff

@arvoretech/whatsapp-mcp

Drive a single WhatsApp account from your AI agent using Baileys.

Features:

  • Pair via QR code (ASCII in terminal, PNG file, or base64 data URL)
  • Send and receive text, images, audio (PTT or normal), video, and documents
  • Local SQLite store for chats, messages, and contacts so the agent can recall past conversations
  • Brazilian phone number normalization with WhatsApp-side validation
  • Set typing presence, mark messages as read, react, edit, and delete
  • Single connection — pair one WhatsApp account from your local agent

🚀 Quick Start

Installation

Install individual packages:

npm install -g @arvoretech/aws-secrets-manager-mcp
npm install -g @arvoretech/datadog-mcp
npm install -g @arvoretech/mysql-mcp
npm install -g @arvoretech/postgresql-mcp
npm install -g @arvoretech/clickhouse-mcp
npm install -g @arvoretech/npm-registry-mcp
npm install -g @arvoretech/launchdarkly-mcp
npm install -g @arvoretech/tempmail-mcp
npm install -g @arvoretech/google-chat-mcp
npm install -g @arvoretech/gmail-mcp
npm install -g @arvoretech/memory-mcp
npm install -g @arvoretech/runtime-lens-mcp
npm install -g @arvoretech/meet-transcriptions-mcp
npm install -g @arvoretech/sendgrid-mcp
npm install -g @arvoretech/await-until-mcp
npm install -g @arvoretech/mcp-proxy
npm install -g @arvoretech/agent-teams-lead-mcp
npm install -g @arvoretech/agent-teams-teammate-mcp
npm install -g @arvoretech/agent-teams-chat-mcp
npm install -g @arvoretech/metabase-mcp
npm install -g @arvoretech/mgc-mcp
npm install -g @arvoretech/kanban-mcp
npm install -g @arvoretech/posthog-mcp
npm install -g @arvoretech/slack-advanced-mcp
npm install -g @arvoretech/whatsapp-mcp

Or using pnpm:

pnpm add -g @arvoretech/aws-secrets-manager-mcp

Configuration

Add to your Claude Desktop configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "aws-secrets-manager": {
      "command": "npx",
      "args": ["-y", "@arvoretech/aws-secrets-manager-mcp"]
    },
    "datadog": {
      "command": "npx",
      "args": ["-y", "@arvoretech/datadog-mcp"],
      "env": {
        "DATADOG_API_KEY": "your-api-key",
        "DATADOG_APP_KEY": "your-app-key",
        "DATADOG_SITE": "datadoghq.com"
      }
    },
    "mysql": {
      "command": "npx",
      "args": ["-y", "@arvoretech/mysql-mcp"],
      "env": {
        "MYSQL_HOST": "localhost",
        "MYSQL_USER": "readonly_user",
        "MYSQL_PASSWORD": "password",
        "MYSQL_DATABASE": "your_database",
        "MYSQL_PORT": "3306"
      }
    },
    "postgresql": {
      "command": "npx",
      "args": ["-y", "@arvoretech/postgresql-mcp"],
      "env": {
        "POSTGRESQL_HOST": "localhost",
        "POSTGRESQL_PORT": "5432",
        "POSTGRESQL_USER": "postgres",
        "POSTGRESQL_PASSWORD": "password",
        "POSTGRESQL_DATABASE": "your_database",
        "POSTGRESQL_SSL": "false"
      }
    },
    "clickhouse": {
      "command": "npx",
      "args": ["-y", "@arvoretech/clickhouse-mcp"],
      "env": {
        "CLICKHOUSE_URL": "https://your-host:8443",
        "CLICKHOUSE_USER": "default",
        "CLICKHOUSE_PASSWORD": "secret",
        "CLICKHOUSE_DATABASE": "default"
      }
    },
    "npm-registry": {
      "command": "npx",
      "args": ["-y", "@arvoretech/npm-registry-mcp"]
    },
    "launchdarkly": {
      "command": "npx",
      "args": ["-y", "@arvoretech/launchdarkly-mcp"],
      "env": {
        "LAUNCHDARKLY_EMAIL": "[email protected]",
        "LAUNCHDARKLY_PASSWORD": "your-password",
        "LAUNCHDARKLY_PROJECT": "default",
        "LAUNCHDARKLY_ENVIRONMENT": "production"
      }
    },
    "tempmail": {
      "command": "npx",
      "args": ["-y", "@arvoretech/tempmail-mcp"],
      "env": {
        "CLOUDFLARE_ACCOUNT_ID": "your-account-id",
        "CLOUDFLARE_D1_DATABASE_ID": "your-database-id",
        "CLOUDFLARE_API_TOKEN": "your-api-token",
        "TEMPMAIL_DOMAIN": "yourdomain.com"
      }
    },
    "google-chat": {
      "command": "npx",
      "args": ["-y", "@arvoretech/google-chat-mcp"],
      "env": {
        "GOOGLE_CHAT_CREDENTIALS_PATH": "/path/to/service-account.json",
        "GOOGLE_CHAT_USER_EMAIL": "[email protected]"
      }
    },
    "gmail": {
      "command": "npx",
      "args": ["-y", "@arvoretech/gmail-mcp"],
      "env": {
        "GMAIL_MCP_CLIENT_ID": "your-oauth-client-id",
        "GMAIL_MCP_CLIENT_SECRET": "your-oauth-client-secret",
        "GMAIL_MCP_ALLOW_SEND": "false"
      }
    },
    "team-memory": {
      "command": "npx",
      "args": ["-y", "@arvoretech/memory-mcp"],
      "env": {
        "MEMORY_PATH": "./memories"
      }
    },
    "runtime-lens": {
      "command": "npx",
      "args": ["-y", "@arvoretech/runtime-lens-mcp"],
      "env": {
        "RUNTIME_LENS_PROJECT_ROOT": "."
      }
    },
    "meet-transcriptions": {
      "command": "npx",
      "args": ["-y", "@arvoretech/meet-transcriptions-mcp"]
    },
    "sendgrid": {
      "command": "npx",
      "args": ["-y", "@arvoretech/sendgrid-mcp"],
      "env": {
        "SENDGRID_API_KEY": "SG.your-api-key"
      }
    },
    "await-until": {
      "command": "npx",
      "args": ["-y", "@arvoretech/await-until-mcp"]
    },
    "mcp-proxy": {
      "command": "node",
      "args": ["packages/mcp-proxy/dist/index.js"],
      "env": {
        "MYSQL_HOST": "localhost",
        "MCP_PROXY_UPSTREAMS": "[{\"name\":\"mysql\",\"command\":\"npx\",\"args\":[\"-y\",\"@arvoretech/mysql-mcp\"],\"env\":{\"MYSQL_HOST\":\"${MYSQL_HOST}\"}}]"
      }
    },
    "agent-teams-lead": {
      "command": "npx",
      "args": ["-y", "@arvoretech/agent-teams-lead-mcp"],
      "env": {
        "WORKSPACE_PATH": "/path/to/your/workspace"
      }
    },
    "agent-teams-chat": {
      "command": "npx",
      "args": ["-y", "@arvoretech/agent-teams-chat-mcp"],
      "env": {
        "SLACK_BOT_TOKEN": "xoxb-your-token",
        "SLACK_CHANNEL": "C0123456789",
        "AGENT_IDENTITY": "Your Name"
      }
    },
    "metabase": {
      "command": "npx",
      "args": ["-y", "@arvoretech/metabase-mcp"],
      "env": {
        "METABASE_URL": "https://your-metabase-instance.com",
        "METABASE_API_KEY": "your-api-key"
      }
    },
    "mgc": {
      "command": "npx",
      "args": ["-y", "@arvoretech/mgc-mcp"],
      "env": {
        "MGC_REGION": "br-ne1",
        "MAGALU_DOCS_DIR": "./magalu-cloud-docs"
      }
    },
    "kanban": {
      "command": "npx",
      "args": ["-y", "@arvoretech/kanban-mcp"],
      "env": {
        "KANBAN_PATH": "./kanban",
        "KANBAN_UI": "true",
        "KANBAN_PORT": "4799"
      }
    },
    "posthog": {
      "command": "npx",
      "args": ["-y", "@arvoretech/posthog-mcp"],
      "env": {
        "POSTHOG_BASE_URL": "https://posthog.example.com",
        "POSTHOG_API_KEY": "phx_your_personal_api_key"
      }
    },
    "slack-advanced": {
      "command": "npx",
      "args": ["-y", "@arvoretech/slack-advanced-mcp"],
      "env": {
        "SLACK_USER_TOKEN": "xoxp-your-user-token",
        "ELEVENLABS_API_KEY": "sk_your-elevenlabs-key"
      }
    },
    "whatsapp": {
      "command": "npx",
      "args": ["-y", "@arvoretech/whatsapp-mcp"],
      "env": {
        "WHATSAPP_LOG_LEVEL": "warn"
      }
    }
  }
}

Note: These packages are published to the public npm registry and can be used directly with npx without any additional configuration.

🛠️ Development

Prerequisites

  • Node.js >= 20
  • pnpm >= 9

Setup

git clone https://github.com/arvoreeducacao/arvore-mcp-servers.git
cd mcp-servers
pnpm install

Build all packages

pnpm build

Run tests

pnpm test

Run tests with coverage

pnpm test:cov

Lint

pnpm lint

Development mode

Run a specific package in development mode:

cd packages/aws-secrets-manager
pnpm dev

📝 Adding a New Package

  1. Create a new directory in packages/
  2. Follow the structure of existing packages
  3. Update the root README.md
  4. Add package-specific documentation

🚢 Publishing

Automatic Publishing

This monorepo uses GitHub Actions for automatic publishing to npm. Publishing happens in these scenarios:

1. Push to main branch

Only the packages changed in the push are published when code is merged to main (after CI passes). The publish job detects which packages/<name> directories were touched via git diff against the previous commit and runs npm publish only for those. Remember to bump the version in the changed package's package.json before merging, otherwise npm will skip it as already published.

2. Manual workflow dispatch

You can manually trigger publishing for a specific package:

  • Go to GitHub Actions
  • Select "Publish Packages" workflow
  • Click "Run workflow"
  • Specify package name (e.g., @arvoretech/aws-secrets-manager-mcp)
  • Choose version bump type (major, minor, or patch)

Setup Requirements

To enable automatic publishing, add these secrets to your GitHub repository:

  1. NPM_TOKEN: Required for publishing to npm

  2. CODECOV_TOKEN (optional): For coverage reports

Manual Publishing

If needed, you can publish manually (requires authentication):

# Publish all packages
pnpm -r publish

# Publish specific package
cd packages/aws-secrets-manager
npm publish

Version Management

To bump versions:

# In a specific package directory
cd packages/aws-secrets-manager
pnpm version patch  # or minor, major

🤝 Contributing

Contributions are welcome! Please read our contributing guidelines before submitting PRs.

📄 License

MIT License - see the LICENSE file for details.

🔗 Links

📞 Support

For issues and questions, please open an issue on GitHub.


Made with ❤️ by Arvore Education

from github.com/arvoreeducacao/arvore-mcp-servers

Установить Arc Browser Mcp в Claude Desktop, Claude Code, Cursor

Рекомендуется · одна команда, все IDE
unyly install arc-browser-mcp

Ставит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.

Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh

Или настроить вручную

Выполни в терминале:

claude mcp add arc-browser-mcp -- npx -y @arvoretech/arc-browser-mcp

FAQ

Arc Browser Mcp MCP бесплатный?

Да, Arc Browser Mcp MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Arc Browser Mcp?

Нет, Arc Browser Mcp работает без API-ключей и переменных окружения.

Arc Browser Mcp — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Arc Browser Mcp в Claude Desktop, Claude Code или Cursor?

Открой Arc Browser Mcp на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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