"An overview of REST (Representational State Transfer)" matching MCP servers:

A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.

Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r

An MCP server that uses Groq's API to expose raw chain-of-thought tokens from Qwen's qwq model, enabling LLMs to think step-by-step before responding.

An MCP Server that enables natural language interaction with the Open Policy Agent REST API, allowing users to manage policies, decisions, and data through conversational interfaces.

A server implementation of the Model Context Protocol (MCP) that provides REST API endpoints for managing and interacting with MCP resources.

Dynamically converts any REST service's OpenAPI specification into MCP tools, enabling interaction with REST endpoints through natural language. Supports Spring Boot services and includes auto-discovery for common API configurations.

Ephemeral MicroVM-isolated code execution for AI agents. Run Python, Node, or bash — fresh hardware-isolated VM per call, hard-purged after. No state persists between calls.

Enables running one Codex CLI task at a time in an isolated temporary folder, returning Codex's answer and a manifest of produced files for manual review and selective copying.

A code-execution MCP server for Klaviyo and Shopify analytics, enabling safe JavaScript execution in a V8 sandbox with state persistence across calls.

Enables AI agents to interact with Jupyter notebooks via MCP tools for querying, modifying, executing, and setting up notebooks, with state preservation and real-time collaboration.

Provides MCP tools to create, run commands in, checkpoint, and delete durable cloud environments, giving coding agents persistent state between calls.

Context Mode is an MCP server that reduces context window waste by sandboxing data-heavy tools, tracking session state in SQLite, and promoting code-based analysis over raw data reads, achieving up to 98% context savings.

A Python code execution sandbox based on IPython and Docker. Stateful code execution, file transfer between host and container, configurable network access.

Enables AI assistants to execute Julia code efficiently with persistent sessions, avoiding startup costs and maintaining state across calls.

Enables AI agents to run persistent Node.js REPL sessions that preserve state across evaluations, supporting top-level await, module loading, and per-session npm package installation.

Connects to an existing IPython kernel for persistent Python code execution, preserving variables and state across calls. It enables AI agents and clients to share a live kernel for interactive coding, execution, kernel status checks, and interrupts.

A bridge server that provides access to an Odoo shell environment, allowing execution of Python code within an Odoo database context for model introspection and database operations.

The Atla MCP Server provides a standardized interface for LLMs to interact with the Atla API for state-of-the-art LLMJ evaluation.

Enables interactive Python execution with a persistent IPython kernel through MCP, retaining namespace state and providing structured output logs for agent and tool integrations.

Provides a set of read-only Kubernetes functions via an MCP server, enabling interaction with Kubernetes clusters through agents or coding assistants like GitHub Copilot.

Enables AI assistants to interact with running games in real time — introspecting game state, simulating keyboard and mouse input to actually play, capturing screenshots, executing Lua code, hot-reloading files, and receiving push notifications when state changes.

MCP server for debugging Brainfuck programs. It provides tools to load code, step through execution, run programs, and inspect state.

Enables LLM clients to run GAUSS code against a real GAUSS installation, with persistent workspace state and full-precision data exchange.

Enables AI agents to interact with the Baltamatica scientific computing kernel, executing code, managing variables, and running scripts while preserving workspace state across calls.

Enables adding and editing cells in local Jupyter Notebooks, and executing individual cells on the notebook's specified kernel, with state persisted across cells.

Enables an AI agent to run Wolfram Language in a persistent Mathematica kernel, interrupt running computations while preserving state, and replay notebooks in a headless environment.

Bridges Claude Desktop, Claude Code CLI, and Claude Code for VS Code, enabling developers to plan in Desktop, save specs to project directories, and invoke Claude Code CLI with seamless state sharing across interfaces.

An educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server for integrating with various LLM clients like Claude Desktop.

A minimal reference implementation of an MCP server that responds with "Hello, World" via Streamable HTTP. Serves as a baseline for integration testing and MCP client development with production-ready features including health checks, metrics, and containerized deployment.

Bridges a locally running coding agent to a Colab session in the browser, letting it inspect, edit, run, and export notebooks, execute ad-hoc Python, transfer files to and from the runtime, and poll or cancel background jobs.