"ts-node" matching MCP servers:

MCP server that enables AI clients to orchestrate multi-node LAN agents, with tools for remote command execution, file transfer, task delegation, and cross-node collaboration.

Review & approve AI agent task plans in a ComfyUI-style node editor, right in your terminal (MCP server + TUI)

MCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.

Enables MCP clients to create, read, message, wait for, interrupt, and settle persistent peer threads through an existing T3 Code server, keeping them visible across its clients. It supports project-scoped coordination with source attribution and retry-safe commands.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Executes Python code in isolated rootless containers while proxying MCP server tools, reducing context overhead by 95%+ and enabling complex multi-tool workflows through sandboxed code execution.

A lightweight Model Context Protocol (MCP) orchestrator designed for efficiency at scale. It features TOON compression (reducing token usage by 30-90%) and Lazy Loading, making it the ideal solution for complex, multi-tool agentic workflows.

Enables hands-free, voice-driven management of T3 Code projects, threads, agent runs, and pending actions via GPTVoice tool calls.

An autonomous MCP server that uses the Claude Code CLI to solve coding problems without permission prompts.

A secure Node.js execution environment that allows coding agents and LLMs to run JavaScript dynamically, install NPM packages, and retrieve results while adhering to the Model Control Protocol.

Enables users to control the cursor in Figma through verbal commands using an agentic AI agent, streamlining the design process with a new interaction method.

Lets coding agents discover node types and integrations, plan, build, validate, test, publish, and run AI workflows on the Novalink platform, then integrate them into code with scoped API keys.

Enables LLMs to interact with MCP servers by writing TypeScript/JavaScript code instead of direct tool calls. Provides a code execution sandbox that accesses MCP servers through HTTP proxy endpoints.

An MCP server wrapping the FallFuneral US SDK for sovereign, offline-capable funeral service operations.

The Execution Security Layer for the Agentic Era. Providing deterministic "Sudo" governance and audit logs for autonomous AI agents.

Enables MCP clients to interact with A2A agents through four ordinary tools, translating agent discovery, messaging, task reading, and cancellation between the A2A and MCP protocols, with support for the tasks extension.

Enables AI clients to access T-Invest market data and account information for MOEX futures, including candles, last price, order book, instrument specs, portfolio, free margin, and operations history. It also supports position sizing and optional trading actions such as market/limit orders, stop-loss, take-profit, cancellation, and position closing.

Implements a distributed AI worker pattern over MCP, enabling clients to register as workers, poll for tasks, process prompts with AI, and submit results back to the server continuously.

Enables unified access to a multi-node DSH control plane, routing ChatGPT tool calls to appropriate node agents with presence awareness, health monitoring, and fail-closed execution.

A sovereign, MIT-licensed MCP server that wraps mortgage functionality into an AI-callable tool with Ed25519 signing and offline capability, enabling autonomous agents to handle mortgage workflows securely.