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127,071 tools. Last updated 2026-05-05 08:05

"Information about sandbox environments or games" matching MCP tools:

  • Retrieve detailed information about a specific Railway project, including its status, environments, services, and configuration.
    MIT
  • Copy files from your local system to a Modal sandbox environment for uploading inputs, transferring configurations, or deploying code to isolated cloud-based Python environments.
  • Retrieve metadata about a file or directory within an E2B sandbox, including size, type, and permissions by providing the sandbox ID and absolute path.
  • Retrieve details about a specific sandbox, including its name, state, and creation time, by providing its sandbox ID.

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  • Energy data from EIA: electricity, fuel prices, and renewables

  • Execute code in 8 programming languages via gVisor-sandboxed Docker containers. Supports Python, JS, TS, Go, Java, C++, C, and Bash.

  • Retrieve AI-generated analysis summaries for specific malware analysis runs from Joe Sandbox Cloud to understand threat behavior across different system environments.
  • Fetch detailed information about a validator on Initia blockchain by address or moniker. Supports L1 and L2 rollups, mainnet and testnet.
    Apache 2.0
  • Retrieve details for all environments in a Postman workspace, including variables and values. Specify a workspace ID to filter results.
    Apache 2.0
  • Retrieve detailed information about an API specification by providing its unique ID.
    Apache 2.0
  • Retrieve detailed information about a specific service by providing its name, ID, or prefix to access service configuration and status within the ZenML platform.
  • Retrieve and format detailed information about a specific financial asset using its symbol, asset ID, or CUSIP for US equities.
    MIT
  • Retrieve detailed information about a specific Zetrix blockchain block by providing its height or number to access transaction data and network state.
    MIT
  • Retrieve detailed information about personas, skills, templates, agents, memories, or ensembles from the DollhouseMCP server to manage AI behavioral elements.