Developer Tools MCP Servers

Gru Sandbox

Provides a self-hostable sandbox environment for securely executing commands from MCP clients and AI agents.

Datetime

Provides a service for formatting dates and times and generating filenames with datetime components.

Apple Notifier

Enables macOS native notifications, prompts, text-to-speech, screenshots, and file selection through MCP-compatible clients.

MacOS Defaults

Provides Model Context Protocol (MCP) access for reading and writing macOS defaults (settings).

Code Reviewer Fixer Agent

Analyzes code repositories for vulnerabilities and quality issues, suggesting fixes based on Sentry error logs.

Lsp

Bridges Language Server Protocol (LSP) servers with Model Context Protocol (MCP) clients, enabling LLMs to leverage LSP features.

ServeMyAPI

Securely stores and retrieves API keys using the macOS Keychain, accessible across projects via the Model Context Protocol (MCP).

Meta

Creates customized MCP servers by dynamically generating directories and files.

GitHub Enterprise

Integrates GitHub Enterprise with AI tools via the Model Context Protocol (MCP).

Supabase

Enables LLMs to query Supabase databases and understand their structure through a Model Context Protocol.

Chakra

Enables natural language interaction with databases and subscribed data shares using Anthropic's Model Context Protocol.

Doris

Serves as an MCP server for Apache Doris and VeloDB, enabling model context protocol interactions.

Node Fetch

Enables fetching web content via HTTP requests using Node.js and Undici.

Scrapybara

Enables Model Context Protocol (MCP) clients to interact with virtual Ubuntu desktops for web browsing, code execution, and more.

Swagger Explorer

Analyzes Swagger/OpenAPI specifications through integration with Claude.

File Preview

Enables HTML file preview and analysis capabilities within an MCP environment.

Slack

Enables interaction with Slack workspaces to post messages and query user lists via a Model Context Protocol client.

Gradle

Enables AI tools to interact with Gradle projects programmatically via the Model Context Protocol.

Daytona Interpreter

Executes Python code within ephemeral Daytona sandboxes, facilitating tasks such as code execution, file manipulation, and web server previewing.

Starknet

Exposes Starknet RPC methods to Large Language Models through the Model Context Protocol.