wasmer-sandbox-mcp
Related Servers
Alternatives to wasmer-sandbox-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceEnables AI coding agents to run shell commands, spawn persistent background tasks, and read/write files inside isolated remote container sandboxes on a VPS. It also provides project workspace listing, task attach/kill controls, and a searchable knowledge graph for memory continuity across sessions.-
- FlicenseNot gradedqualityDmaintenanceEnables secure execution of bash, Python, and Node.js code in isolated Firecracker microVMs with configurable timeouts and no network access.-
- AlicenseNot gradedqualityDmaintenanceThe sessionless code interpreter. Securely run AI-generated code in stateful sandboxes that run forever.44 npm229MIT
- AlicenseAqualityBmaintenanceEnables AI coding agents to safely run commands, install dependencies, test, and modify code inside disposable, policy-enforced Docker sandboxes isolated from the host, returning results and diffs.15MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to safely run bounded, sandboxed tasks on remote machines with persistent state and reviewable artifacts.Apache 2.0
- FlicenseNot gradedqualityDmaintenanceEnables running arbitrary JavaScript code in isolated Docker containers with on-the-fly npm dependency installation, supporting both ephemeral one-shot executions and persistent sandbox environments.101 npm157-
TDQS
Scored across 8 tools
Most tools are sharply distinguished (file read/write/list, package install, reset, info). The only potential confusion is run_python vs run_command, since run_command could also invoke Python, but the descriptions draw a clear boundary by directing run_command to non-Python work.
All eight tools follow a consistent snake_case verb_noun pattern (run_, get_, write_, read_, list_, install_, reset_). The run_ versus sandbox_ prefixes correspond to a meaningful semantic split between execution and sandbox management, so there is no real inconsistency.
Eight tools is well within the ideal 3-15 range and maps cleanly to the server's purpose: two executors, three filesystem operations, package installation, state inspection, and reset. Each tool earns its place with no redundant entries.
The domain — isolated code execution with persistent sandbox state — is well covered: execute, read/write/list files, install packages, inspect, and reset. The only minor gap is the lack of a dedicated file removal tool, but agents can work around it via run_command('rm', ...) or reset_sandbox.