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Code Execution

Code execution servers. Allow LLMs to execute code in a secure environment, e.g. for coding agents.

MCP ServersBrowse all →

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    A standalone server that enables programmatic interaction with Vendure CLI commands, allowing external MCP clients to automate and integrate with Vendure e-commerce projects through command execution and project analysis.
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    21 npm
    12
    MIT
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    Provides tools to search and execute Code Ocean capsules and pipelines while managing platform data assets. It enables users to interact with Code Ocean's computational resources and scientific workflows directly through natural language interfaces.
    26
    202 PyPI
    5
    MIT
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    Enables deterministic verification for AI assistants by executing Python code that uses symbolic engines like SymPy and Z3 for math, logic, and code analysis.
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    35 PyPI
    Apache 2.0
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    Enables AI agents to interact with Bentley STAAD.Pro models for tasks like load case definition, data extraction, and property setting through natural language.
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    49
    MIT
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    Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs
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    15,631 PyPI
    1,022
    MIT
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    tradefloor generates simulated stock markets for testing trading strategies and AI agents. This local MCP server lets an assistant evaluate and rank strategies across many reproducible markets, run stress scenarios such as a rate shock or a recession, and explain why a
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    19
    450 PyPI
    Apache 2.0
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    Enables AI agents to access pay-per-call web unlocking, structured extraction, clean scraping, Python sandbox execution, persistent key-value memory, and clearinghouse task bounties, with settlement via Bitcoin Lightning L402 or Base/Solana USDC x402.
    6
    MIT
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    A Model Context Protocol server implementation that enables AI assistants to securely interact with GreptimeDB, allowing them to explore database schema, read data, and execute SQL queries through a controlled interface.
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    29
    MIT
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    Jungle Grid MCP Server lets AI agents submit, estimate, monitor, and retrieve logs for GPU workloads through Jungle Grid. It enables agentic execution for inference, training, fine-tuning, and batch jobs without manually choosing GPU providers or infrastructure.
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    3 npm
    4
    MIT
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    A Model Context Protocol server that enables automated optimization and analysis using Optuna, allowing LLMs to perform hyperparameter optimization and interactively analyze optimization results via chat interfaces.
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    88
    MIT
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    A server providing tools for querying and analyzing Teradata databases, including database management, data quality assessment, and SQL execution capabilities through an MCP interface.
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    665 PyPI
    58
    MIT
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    Enables AI assistants to inspect, refactor, lint, run, and version Power Query (M) queries in Excel workbooks and Power BI projects, with snapshot safety and live evaluation.
    31
    26 PyPI
    MIT
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    Language-owned MCP gateway and execution-host coordination for Hara, exposing read-only tools for runtime introspection, evaluation, calls, and checks, with an optional deterministic test fixture for development.
    4
    Apache 2.0
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    Connects AI assistants to live Roblox executor clients, letting the model run Luau in-game, walk the instance tree, decompile scripts, capture remote calls, and orchestrate work across multiple clients through 289 tools, a browser dashboard, and an in-game scripting surface. It also supports persistent playbooks, session traces, and verified agent workflows for repeatable automation.
    2
    291
    MIT
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    Bridges a local agent to a Colab session in the browser, enabling seamless interaction with Colab from local clients.
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    1,224
    Apache 2.0
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    Provides AI coding agents a full abap2UI5 development loop—writing ABAP classes, validating views, deploying, and running apps headless with screenshots—all locally without an SAP system.
    9
    28 npm
    1
    MIT
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    Enables execution of SAS code on SAS Viya compute environments with OAuth2 authentication. Allows users to run SAS programs and retrieve execution results including logs and output through the Model Context Protocol.
    92
    62
    Apache 2.0
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    Self-hosted Docker sandboxes for coding agents: create a sandbox with its own Docker daemon, deploy a docker-compose stack into it, read and write its files, and get a URL for every app. Tokens can be limited to one sandbox.
    33
    6
    Apache 2.0
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    A TypeScript-based MCP server that provides full CRUD operations for Requestly rules and groups, enabling integration with VS Code and other MCP clients through a stdio interface.
    8
    16 npm
    9
    MIT
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    Enables AI agents to interact with the Execute.run bot API for managing Shell balances, transferring funds, and executing LLM requests. It provides tools for identity verification, transaction tracking, and performing compute tasks through the Execute.run platform.
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