TagsCode Execution

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Code Execution MCP Servers

Showing 34 Model Context Protocol tools tagged with “Code Execution”.

Browse MCP Servers

Discover, filter, and connect verified Model Context Protocol tools to your AI agents.

Ramp Kit

LATAM fiat ramps on Stellar for AI agents: live quotes, sandbox orders, PIX/SPEI simulation, docs

Srunx

MCP server for the SLURM workload manager. Submit jobs, run YAML workflows, monitor GPU resources, manage SSH profiles, and sync files to remote HPC clusters from natural language. 14 tools spanning local SLURM and SSH-remote clusters; companion CLI and FastAPI Web UI ship in the same package.

Spotdb

Ephemeral data sandbox for AI workflows with guardrails and security

Python Code Validator

Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.

ExecBro

Gives AI agents eyes and hands into running React Native apps: logs, REPL, tap, screenshots

Node Code Sandbox MCP

alfonsograziano

A Node.js MCP server that spins up isolated Docker-based sandboxes for executing JavaScript snippets with on-the-fly npm dependency installation and clean teardown

E2b Sandbox MCP

Connect Claude Code with E2B cloud sandboxes — 29 tools for creating isolated Linux VMs, cloning repos, running commands, managing files, and performing git operations without touching the local machine.

MCP Safe Local Python Executor

Safe Python interpreter based on HF Smolagents LocalPythonExecutor

Colab MCP

SebastianGilPinzon

Control Google Colab notebooks and assign GPUs (T4/L4/A100) from any AI agent. Enhanced fork of Google's colab-mcp with all tools visible at startup, OAuth GPU control, and Windows support.

Piston MCP

MCP server that lets LLMs execute code through the Piston remote code execution engine, with a zero-config uv setup and a ready-to-use Claude Desktop config example.

MCP Code Runner

Cloud Platforms

An MCP server for running code locally via Docker and supporting multiple programming languages.

Container Use

Containerized environments for coding agents. Multiple agents can work independently, isolated in fresh containers and git branches. No conflicts, many experiments. Full execution history, terminal access to agent environments, git workflow. Any agent/model/infra stack.

Outsource MCP

Give your AI assistant its own AI assistants. For example: "Could you ask openai to generate an image of a dog?"

PRIMS

A Python Runtime Interpreter MCP Server that executes user-submitted code in an isolated environment.

Jobd

Self-hostable GPU-aware job broker for your own machines. The MCP server exposes the queue as nine tools (submit, status, logs, list, cancel, preempt, workers, job-get, worker-delete) so an agent can dispatch long-running or GPU jobs that outlive the session, route them by VRAM tier, and babysit them across sessions. pip install "jobd[mcp]".

Openapi To MCP

⃣ ☁️ - Lightweight MCP server to access any API using their OpenAPI specification. Supports OAuth2 and full JSON schema parameters and request body.

MCP Js

A Javascript code execution sandbox that uses v8 to isolate code to run AI generated javascript locally without fear. Supports heap snapshotting for persistent sessions.

Prolog Reasoner

SWI-Prolog execution for LLMs with CLP(FD), negation-as-failure, and recursion. Benchmarked 90% vs 73% LLM-only accuracy on 30 logic problems.

Edict

Agent-first programming language: agents produce JSON AST, the compiler validates, type-checks, effect-checks, verifies contracts via Z3/SMT, and compiles to WASM. 19 MCP tools for the full compile-and-execute loop.

MCP Server

telleroutlook/agentkit-js

Code-mode MCP server: collapses N user-defined tools into a two-tool surface (executecode + docssearch). Backed by a unified capability manifest (allowedHosts / cpuMs / memoryLimitBytes) honoured across three sandbox kernels — in-process node:vm, WASM (QuickJS / Pyodide / Wasmtime), and remote microVM (E2B / Cloudflare Sandbox). Token-saving benchmark in repo CI.

MCP Server Js

Execute any LLM-generated code in a secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages

Openapi MCP

OpenAPI-MCP: Dockerized MCP Server to allow your AI agent to access any API with existing api docs.

Matlab MCP Server Python

Connect AI agents to MATLAB — execute code, run async jobs with progress reporting, get interactive Plotly plots, expose custom .m functions as tools, and monitor via live dashboard.

Signalfuse MCP

hypeprinter007-stack

Finance & Fintech

11 tools for AI trading agents: fused crypto signals (10 assets), sentiment, macro regime, live strategy arena (4 strategies × 4 assets), fused web search (Brave + Tavily), and sandboxed code execution (E2B). Pay-per-call USDC on Base via x402. Free browser playground at signalfuse.co/play — 25 calls/day, no wallet. npx -y signalfuse-mcp

MCP Server

Run untrusted Python/JavaScript code in WebAssembly sandboxes.

MCP Run Python

pydantic/pydantic-ai

Run Python code in a secure sandbox via MCP tool calls

Wundervault MCP

Other Tools and Integrations

Zero-knowledge secret vault for AI agents: use API keys, passwords, and SSH keys to run real commands (exec/rsync) with the secret injected into a single command — never returned to the model or shown in chat. Client-side AES-256-GCM, per-agent scoping, append-only audit log.

Eterna MCP

No-KYC managed MCP for AI agents: sandboxed TypeScript trading SDK, isolated sub-accounts, futures.

Gigaverse

Portable Roth IRA signups for gig workers: eligibility checks, signup initiation, partners, sandbox.

MCP

E-signatures for agents: mint a sandbox key, send PDFs, track status, download the sealed result.