@r33drichards
基本信息
MCP server that exposes a V8 JavaScript runtime as a tool for AI agents like Claude and Cursor. Supports persistent heap snapshots via S3 or local filesystem, and is ready for integration with modern AI development environments.
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mcp-v8 is a Model Context Protocol server, written in Rust, that lets an AI agent run JavaScript and TypeScript in a sandboxed V8 isolate. Instead of wiring up dozens of narrow tools, it gives the agent one tool—run_js—and the agent writes code that can loop, branch, transform data, and call other tools. It is designed for AI agents that need a flexible, stateful code execution environment.
Install the server via the provided curl script (install.sh) or use nix run, Docker, or build from source. Connect an MCP client by adding mcp-v8 with flags like --stateless or --directory-path to the client's mcpServers configuration. The server can also run over HTTP using mcp-v8 --stateless --http-port 8080. Configuration can be done entirely through CLI flags or a single TOML/JSON config file.
run_js tool that executes JavaScript/TypeScript in an isolated V8 engine.fetch, filesystem, subprocess, and external imports controlled via OPA/Rego.In stateful mode, the V8 heap is saved as a content-addressed snapshot after each run, allowing an agent to build up state across many turns. In stateless mode no heap is persisted—the script runs and returns output immediately.
Network requests (`fetch`), filesystem access (`fs.*`), subprocess execution (`child_process`), and external ES module imports are all off by default. They must be explicitly enabled via OPA/Rego policies.
`setInterval` is not available (use a loop with `setTimeout`). There is no DOM or browser APIs. TypeScript is type-stripped but not type-checked, and JSX/TSX is not supported.
Policies are set via CLI flags (e.g., `--policy-fetch`, `--policy-fs`, `--policy-subprocess`) that point to Rego policy files, or through the corresponding sections in a TOML/JSON config file.
Yes, the server natively implements the MCP tasks utility over Streamable HTTP and stdio. A client can run `run_js` as a task by adding a `task` object to the request, then poll with `tasks/get` and `tasks/result`.
📄 The PDF intelligence layer for AI agents — Agent Document Twin, evidence-first extraction, visual crops, OCR provenance, trust reports, and benchmark-gated releases. MCP server for Claude, Cursor, VS Code, and any MCP client.
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