Capsule server
Related Servers
Alternatives to Capsule server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceMCP server that gives AI assistants a secure gVisor-isolated sandbox to run Python or JavaScript code, returning stdout, stderr, and exit codes without local access.115 npmMIT
- AlicenseAqualityDmaintenanceA general-purpose MCP server providing web search, persistent memory storage, and secure code execution capabilities. It enables AI agents to search the web, store and retrieve data, and run Python/JavaScript code in sandboxed environments.8MIT
- AlicenseNot gradedqualityDmaintenanceA production-ready MCP server that equips AI agents with dynamic, persistent, and executable skills. It enables secure script execution and progressive disclosure to reduce context window usage.13 npmMIT
- AlicenseNot gradedqualityCmaintenanceA self-hosted MCP server that gives AI agents controlled access to a machine: filesystem, shell, background processes, git, web fetching and persistent key-value memory.GPL 3.0
- AlicenseNot gradedqualityAmaintenanceA sandbox-first MCP server that enables AI agents to safely perform reverse-engineering tasks in fully isolated Docker containers, featuring zero-trust security, declarative YAML-based skills, and white-hat ethical safeguards.MIT
- AlicenseNot gradedqualityCmaintenanceProduction-grade MCP server that enables AI assistants to execute code securely in isolated E2B sandboxes.Apache 2.0
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: execute_javascript for JavaScript code execution and execute_python for Python code execution. There is no overlap or ambiguity between them, as each targets a different programming language in a similar sandbox environment.
Both tools follow a consistent verb_noun naming pattern (execute_javascript and execute_python), using the same verb 'execute' followed by the language name. This makes the naming predictable and easy to understand across the tool set.
With only 2 tools, the server feels thin for a general-purpose code execution server. While it covers two popular languages, the scope suggests potential for more languages (e.g., Ruby, Go) or related operations (e.g., list_sandboxes, kill_execution), making the current count insufficient for broad utility.
The server provides execution capabilities for JavaScript and Python, which are core to its domain of code execution. However, there are notable gaps: no tools for managing sandboxes (e.g., creating, listing, or terminating), handling dependencies, or supporting other common languages, limiting agent workflows to basic execution without lifecycle control.