Power your agent
การติดตั้งจากผู้เผยแพร่ ไม่ใช่เอนด์พอยต์ของ PlugMCP
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รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
PRIMS is a tiny open-source Model Context Protocol (MCP) server that lets LLM agents run arbitrary Python code in a secure, throw-away sandbox.
• One tool, one job. Exposes a single MCP tool – run_code – that executes user-supplied Python and streams back .
PRIMS is a lightweight, open-source Model Context Protocol (MCP) server that lets LLM agents safely execute arbitrary Python code in a secure, throw-away sandbox.
stdout / stderr• Isolated & reproducible. Each call spins up a fresh virtual-env, installs any requested pip packages, mounts optional read-only files, then nukes the workspace.
• Zero config. Works over MCP/stdio or drop it in Docker.
chmod +x scripts/setup_env.sh # once, to make the script executable
./scripts/setup_env.sh # creates .venv & installs deps
# activate the venv in each new shell
source .venv/bin/activate
python -m server.main # binds http://0.0.0.0:9000/mcp
# Quick one-liner (build + run)
chmod +x scripts/docker_run.sh
./scripts/docker_run.sh # prints the MCP URL when ready
You can use the provided script to list all tools exposed by the server:
python examples/list_tools.py
Expected output (tool names and descriptions may vary):
Available tools:
- run_code: Execute Python code in a secure sandbox with optional dependencies & file mounts.
- list_dir: List files/directories in your session workspace.
- preview_file: Preview up to 8 KB of a text file from your session workspace.
- persist_artifact: Upload an output/ file to a presigned URL for permanent storage.
- mount_file: Download a remote file once per session to `mounts/<path>`.
python examples/run_code.py
python examples/mount_and_run.py
This mounts a CSV with mount_file and then reads it inside run_code without re-supplying the URL.
python examples/inspect_workspace.py
This shows how to use the list_dir and preview_file tools to browse files your code created.
The persist_artifact tool uploads a file from your output/ directory to a presigned URL.
Example (Python):
await client.call_tool("persist_artifact", {
"relative_path": "plots/plot.png",
"presigned_url": "https://bucket.s3.amazonaws.com/...signature...",
})
Small artifacts can be fetched directly:
curl -H "mcp-session-id: <your-session-id>" \
http://localhost:9000/artifacts/plots/plot.png -o plot.png
See the examples/ directory for end-to-end demos.
Contributions are welcome! Feel free to open issues, suggest features, or submit pull requests to help improve PRIMS.
If you find this project useful, please consider leaving a ⭐ to show your support.
PRIMS is a lightweight, open-source Model Context Protocol (MCP) server that lets LLM agents safely execute arbitrary Python code in a secure, throw-away sandbox.
เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Python Runtime Interpreter ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-10-27 PRIMS is a lightweight, open-source Model Context Protocol (MCP) server that lets LLM agents safely execute arbitrary Python code in a secure, throw-away sandbox.
