"p5.js" matching MCP servers:

Enables MCP clients to execute Python code directly via stdin, preserving quotes, f-strings, and backslashes exactly as written, and returns stdout, stderr, and exit codes.

Sandboxed bash execution MCP server for AI agents, using an in-memory virtual filesystem overlay to prevent real filesystem damage, with configurable network access, timeouts, and optional Python/JS runtimes.

Execute code in 8 programming languages via gVisor-sandboxed Docker containers. Supports Python, JS, TS, Go, Java, C++, C, and Bash.

Provides a persistent JavaScript kernel that treats any configured MCP server as a capability catalog, exposing all its tools to the model through just two tools (js and js_reset) while keeping the model-visible schema small and injecting host parameters like projectPath.

A bridge that enables AI assistants to connect to VS Code's debugger, allowing them to interact with and control debugging sessions through websocket connections.

A Model Context Protocol server for JavaScript/TypeScript development, providing tools to run scripts, tests, builds, and dependency management with framework and package manager detection.

Enables delegating coding tasks to sandboxed agents, returning changes as auditable diffs for human review before applying or discarding them.

A Model Context Protocol server that enables Claude AI to interact with Paybyrd's payment processing API, allowing for creating payment links, processing refunds, and retrieving order information.

Enables AI assistants to automate Next.js development including project scaffolding, React component generation, API route creation, and full-stack application workflows with TypeScript and Tailwind CSS support.

Enables MCP-capable AI agents to work on bounded project folders through read, write, run, and verify tools, with durable approval/resume workflows and completion proven by observed verification evidence rather than self-reported results.

A drop-in MCP server implementation for Next.js projects using Vercel MCP Adapter, allowing developers to integrate model context protocol functionality with custom tools, prompts, and resources.

Stateful backend for AI agents providing memory, watch, render, execute, and board primitives via remote MCP. Enables agents to persist facts, track page changes, render JS pages, run code, and coordinate on shared boards.

Aggregates tools from multiple MCP servers, generates TypeScript definitions, and executes custom TypeScript scripts to orchestrate cross-server tool calls.

Exposes Sylvan's MCP tools to a Pi coding agent, enabling management of spaces and developer shells.

A Model Context Protocol server that enhances Grey Hack game development by providing GitHub code search, GreyScript validation, script generation, and Greybel-JS transpilation capabilities when used with Cursor IDE.

Enables AI agents to securely control a remote Windows/Linux PC via MCP and REST, executing shell commands and driving coding-agent CLIs like Claude, Cursor, and Codex.

An MCP extension that allows coding agents to manage and compose MCP tools by executing JavaScript in a sandboxed environment. It features tools for listing available MCP capabilities and a management command for handling authentication and tool policies.

Composes arbitrary MCP tools using JavaScript, enabling discovery, composition, and execution of other MCP servers through a single 'exec' tool.

A secure PostgreSQL Model Context Protocol server that provides read-only database access through tools like schema listing, object inspection, query execution, and EXPLAIN analysis, with database-enforced access control via read-only transactions and a minimal role rather than SQL text parsing.

Run DeepSeek as a real sub-agent inside Claude Code / Codex CLI — not just a single LLM call. DeepSeek gets its own 7-tool agent loop (Read/Write/Edit/Bash/Glob/Grep/NotebookEdit) inside a sandboxed workspace.