pydantic/pydantic-ai/mcp-run-python A MCP Server Active
pydantic/pydantic-ai/mcp-run-python
Run Python code in a secure sandbox via MCP tool calls
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dagger/container-use A MCP Server Active
dagger/container-use
Containerized environments for coding agents. Multiple agents can work independently, isolated in fresh containers and git branches. No conflicts, many experiments. Full execution history, terminal access to agent environments, git workflow. Any agent/model/infra stack.
r33drichards/mcp-js B MCP Server Active
r33drichards/mcp-js
A Javascript code execution sandbox that uses v8 to isolate code to run AI generated javascript locally without fear. Supports heap snapshotting for persistent sessions.
ksterx/srunx C MCP Server Active
ksterx/srunx
MCP server for the SLURM workload manager. Submit jobs, run YAML workflows, monitor GPU resources, manage SSH profiles, and sync files to remote HPC clusters from natural language. 14 tools spanning local SLURM and SSH-remote clusters; companion CLI and FastAPI Web UI ship in the same package.
Sowiedu/Edict C MCP Server Active
Sowiedu/Edict
Agent-first programming language: agents produce JSON AST, the compiler validates, type-checks, effect-checks, verifies contracts via Z3/SMT, and compiles to WASM. 19 MCP tools for the full compile-and-execute loop.
telleroutlook/agentkit-js/mcp-server C MCP Server Active
telleroutlook/agentkit-js/packages/mcp-server
Code-mode MCP server: collapses N user-defined tools into a two-tool surface (`execute_code` + `docs_search`). Backed by a unified capability manifest (`allowedHosts` / `cpuMs` / `memoryLimitBytes`) honoured across three sandbox kernels — in-process node:vm, WASM (QuickJS / Pyodide / Wasmtime), and remote microVM (E2B / Cloudflare Sandbox). Token-saving benchmark in repo CI.
musharna/jobd C MCP Server Active
musharna/jobd
Self-hostable GPU-aware job broker for your own machines. The MCP server exposes the queue as nine tools (submit, status, logs, list, cancel, preempt, workers, job-get, worker-delete) so an agent can dispatch long-running or GPU jobs that outlive the session, route them by VRAM tier, and babysit them across sessions. `pip install "jobd[mcp]"`.