Supported AI Providers — ThinkNEO Control Plane MCP Resource
Supported AI Providers
is one of 2 resources on the
ThinkNEO Control Plane
MCP server. Connect the server and your client can attach it as context.
by client
How to attach Supported AI Providers from your client
- Claude Code ThinkNEO Control Plane Resource/Supported AI Providers run in your project directory
- Claude Desktop ThinkNEO Control Plane Resource/Supported AI Providers ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor ThinkNEO Control Plane Resource/Supported AI Providers ~/.cursor/mcp.json
- VS Code ThinkNEO Control Plane Resource/Supported AI Providers .vscode/mcp.json
- Zed ThinkNEO Control Plane Resource/Supported AI Providers ~/.config/zed/settings.json
- Windsurf ThinkNEO Control Plane Resource/Supported AI Providers ~/.codeium/windsurf/mcp_config.json
- Cline ThinkNEO Control Plane Resource/Supported AI Providers ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI ThinkNEO Control Plane Resource/Supported AI Providers ~/.gemini/settings.json
- Grok ThinkNEO Control Plane Resource/Supported AI Providers .mcp.json (in your project root)
- ChatGPT ThinkNEO Control Plane Resource/Supported AI Providers Settings → Connectors → Advanced → Developer mode
- Claude.ai ThinkNEO Control Plane Resource/Supported AI Providers Settings → Connectors → Add custom connector
- LangChain ThinkNEO Control Plane Resource/Supported AI Providers pip install langchain-mcp-adapters
Other resources on this server
ThinkNEO Control Plane also offers 2 prompts — things you invoke, where a resource is context you attach.
Read from the server itself, by connecting to it and calling resources/list on 24 September 2026.
A listing does not declare its resources, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each resource's type and contents.