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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.
    7
    22 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
    283 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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    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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    42
    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
    61
    8,755 PyPI
    957
    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.
    13
    29
    MIT
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    An MCP server that lets AI models run code in 31 languages, evaluate symbolic math and logic problems, and measure complexity—exposed as 48 tools for execution, session management, translation, optimization, and more.
    2
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    Apache 2.0
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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.
    8
    24 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.
    26
    84
    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.
    47
    138 PyPI
    56
    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.
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    Apache 2.0
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    Debug and inspection tooling for Roblox projects, exposed as an MCP server so an AI agent can explore the instance tree, read/write properties, call remotes, and run Luau in a Roblox client driven by an executor.
    10
    14
    7 npm
    1
    MIT
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    Bridges a local agent to a Colab session in the browser, enabling seamless interaction with Colab from local clients.
    1
    987
    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
    171 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.
    91
    55
    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
    23 npm
    8
    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.
    6
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    Lets AI assistants use MetaModel's formula engine for certified computation, turning published calculators, pricing tools, and engineering models into AI-callable tools with no hallucinated math.
    3
    31 npm
    MIT
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    Backend service implementing the Model Control Panel protocol that connects to Apache Doris databases, allowing users to execute SQL queries, manage metadata, and potentially leverage LLMs for tasks like natural language to SQL conversion.
    8
    146 PyPI
    343
    Apache 2.0
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    An MCP server that enables AI assistants to interact with Ansys CFX through PyCFX, supporting natural-language-assisted CFX-Pre, CFX Solver, and CFD-Post workflows for setup, execution, and postprocessing.
    7
    Apache 2.0
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    Stdio MCP Server wrapping custom Python runtime (LocalPythonExecutor) from Hugging Faces' smolagents framework. The runtime combines the ease of setup (compared to docker, VM, cloud runtimes) while providing safeguards and limiting operations/imports that are allowed inside the runtime.
    12
    1
    48
    MIT

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