Connects ChatGPT to a local development agent via OpenAI tunnels, exposing local tools for shell execution, workspace file operations, screenshots, mouse/keyboard control, and persistent Markdown memory as MCP capabilities.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Local Agent MCP take a screenshot and tell me what you see on my screen"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
shell execution
workspace file read/write/list
screenshot capture, now returned to ChatGPT as MCP image content
mouse clicks and keyboard shortcuts
persistent Markdown memory files
skill promotion workflow
persistent context loader for identity / memory / skills / recent daily logs
A complete step-by-step tutorial is available on YouTube:
▶ Watch the tutorial on YouTube
Related MCP server: ChatGPT Local Coder
Python 3.10+ is required by the current MCP Python SDK.
Open PowerShell 1：
Enter the directory like this： cd E:\AI_agent\chatgptweb
input install_mcp.bat 3.input start_mcp.bat
Open Web：
1.Download tunnel-client https://github.com/openai/tunnel-client/releases/tag/v0.0.14
2.Extract the files and copy them to the folder containing `agent.py
3.1Register for an OpenAI Platform API key
https://platform.openai.com/api-keys?utm_source=chatgpt.com
3.2Create new secret key
4.1Tunnel Settings： https://platform.openai.com/settings/organization/tunnels?utm_source=chatgpt.com
4.2Create a tunnel_id
Open PowerShell 2：
$env:CONTROL_PLANE_API_KEY="Your OpenAI API key"
$env:CONTROL_PLANE_TUNNEL_ID="Your tunnel_id"
$env:MCP_SERVER_URL="url=http://127.0.0.1:8001/mcp,channel=main"
.\tunnel-client-runtime.exe run
Open chatgpt web setting → Security and login → Developer mode
Plugins → New Plugin
Connection select Tunnel Switch to using tunnel ID. Authentication select No Auth I understand and want to continue Creat
Open ChatGPT Web
send a message：
Use the Local Agent MCP to call list_workspace and tell me what is in the current workspace. Do not modify any files.
example and test：
Use the Local Agent MCP to read AGENTS.md and IDENTITY.md, and load the agent context. Tell me the current rules and long-term memory for this agent. Do not modify any files.
Use the Local Agent MCP to call take_screenshot, capture my current screen, and tell me what you see.
run_shell, write_file, mouse, keyboard, and memory-write tools can change the local machine. Only connect this MCP server to an OpenAI workspace/account you trust. The MCP annotations mark consequential tools accordingly, but annotations are metadata, not a security boundary.
The file read/write tools are constrained to workspace/. run_shell starts inside workspace/, but shell commands are intentionally powerful and can still access the broader machine unless you additionally sandbox the Python process at the OS/container level.
Operate Linux, macOS and Windows from your LLM. Every action runs through an auditable allowlist.
Persistent memory and knowledge management for AI agents with semantic search and 50+ tools.
Let ChatGPT, Claude & Cursor use your Mac: email, calendar, iMessage, Teams, files. Local, free.
Shared memory and actions for Claude, Kiro, OpenAI, Cursor, and other MCP-compatible AI clients.
