The GitHub integration lets you search and view repositories, manage issues and pull requests, read file contents, and interact with your GitHub account directly from your workspace.

The Hugging Face integration lets you search and explore models, datasets, and Spaces directly from your development environment, making it easy to discover the right pre-trained models and resources for your machine learning projects.

The Vercel integration lets you deploy, manage, and monitor your projects directly from your workflow, including creating deployments, managing environment variables, and checking deployment status across your teams and projects.

The Semgrep integration lets you run static analysis scans directly from your workflow, enabling you to detect security vulnerabilities, find bugs, and enforce code standards without leaving your development environment.

The GitLab integration lets you manage repositories, issues, merge requests, and pipelines directly from your workflow, enabling seamless code review, project management, and CI/CD operations without leaving your development environment.

The Polar Signals integration lets you query and analyze continuous profiling data from your infrastructure to identify performance bottlenecks, optimize resource usage, and investigate production issues directly from your workflow.

The Rube integration lets you connect your AI assistant to Rube's automation workflows, enabling you to trigger tasks, query workflow status, and manage automation sequences directly from your conversations.

The Grafbase integration lets you query and manage your GraphQL API directly from your workspace, enabling you to explore schemas, execute queries and mutations, and configure your API settings without leaving your development environment.

The Cloudflare Worker Builds integration lets you deploy, manage, and monitor your worker scripts programmatically, enabling automated deployments and real-time build status tracking directly from your development workflow.

Connect to Cloudflare Worker Bindings to interact with your KV namespaces, Durable Objects, R2 buckets, D1 databases, and other bound resources directly from your development environment. Use this server to read, write, and manage data across your Worker's bindings without deploying code changes.

Execute terminal commands, manage processes, and perform advanced file editing tasks, including text replacements and file rewrites. Enhance development workflows by automating repetitive tasks and running processes efficiently.

Enable agents to execute Python code seamlessly within a REPL environment, allowing for on-the-fly script creation and execution. It enhances automation and coding capabilities directly within workflows.

Enhances coding workflows by directly executing commands to modify and analyze project files. Integrates with various clients for file access and targeted code modification, with robust command execution and error handling capabilities.

Execute Python code within a specified Conda environment, enabling access to libraries and dependencies. Supports incremental code generation for handling large code blocks that may exceed token limits.

Execute shell commands securely by utilizing a whitelist, with the ability to provide standard input and receive comprehensive output from commands.

Enhance file management by reading, writing, and editing text and image files with powerful MCP tools. Supports efficient file operations with optional customization parameters.

Provides tools for interacting with local file systems and executing commands, allowing LLMs to access and manipulate data securely. Implements a standardized protocol for seamless integration with various AI models.

Execute Python code with a persistent session, manage variables, and install packages through the MCP protocol.

Execute shell commands securely across Windows, macOS, and Linux platforms using automatic shell detection and command management. Features include whitelisting of commands with varying security levels and comprehensive logging for command execution.

Facilitates symbolic computing, mathematical analysis, and data visualization for scientific and engineering applications using libraries like NumPy, SciPy, and Matplotlib in a containerized setup. Supports complex matrix calculations, statistical analysis, and machine learning tasks.

Facilitates coding interactions with Claude Sonnet, allowing for direct edits to codebases, integration with Git for project management, and running tests. It supports collaborative coding environments where users can communicate with Claude about project changes and enhancements.

Integrates static code analysis capabilities into development environments, allowing for the execution of Semgrep scans and management of Semgrep rules through the MCP protocol.

Runs code in secure, isolated Docker containers, preventing unintended consequences from untested code execution. Provides a configurable execution environment for LLMs to safely test code locally.

Enhance AI assistants with Go code analysis capabilities by leveraging the Language Server Protocol for tasks like code navigation, diagnostics, and suggestions. Interact with Go tools for efficient coding workflows.

Execute controlled command-line operations with features for command whitelisting, path validation, and execution controls to ensure secure operation.