PRIMS – Python Runtime Interpreter MCP Server

import asyncio import json from fastmcp import Client SERVER_URL = "http://localhost:9000/mcp" async def main() -> None: """Demonstrate workspace inspection tools.""" async with Client(SERVER_URL) as client: # 1. Create a small text file via run_code code = ( "with open('output/hello.txt', 'w') as f:\n" " f.write('Hello inspection!\\nThis is a test file.')\n" ) await client.call_tool("run_code", {"code": code}) def parse_dir_response(resp): """Convert streamed TextContents into a list of DirEntry dicts, handling both list and single-entry payloads.""" entries = [] for msg in resp: obj = json.loads(msg.text) if isinstance(obj, list): entries.extend(obj) else: entries.append(obj) return entries # 2. List root of session workspace root_resp = await client.call_tool("list_dir", {}) root_listing = parse_dir_response(root_resp) print("\n=== Workspace root ===") for entry in root_listing: print(f"{entry['type']:9} {entry['path']}") # 3. List contents of output/ out_resp = await client.call_tool("list_dir", {"dir_path": "output"}) out_listing = parse_dir_response(out_resp) print("\n=== output/ ===") for entry in out_listing: print(f"{entry['type']:9} {entry['path']} {entry['size']} bytes") # 4. Preview the text file we just created preview_resp = await client.call_tool( "preview_file", {"relative_path": "output/hello.txt"} ) preview = json.loads(preview_resp[0].text) print("\n=== Preview of output/hello.txt ===") print(preview["content"]) if __name__ == "__main__": asyncio.run(main())