toc-ai_in_action — Research Methods Library MCP Resource
toc-ai_in_action
is one of 6 resources on the
Research Methods Library
MCP server. Connect the server and your client can attach it as context.
by client
How to attach toc-ai_in_action from your client
- Claude Code Research Methods Library Resource/toc-ai_in_action run in your project directory
- Claude Desktop Research Methods Library Resource/toc-ai_in_action ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Research Methods Library Resource/toc-ai_in_action ~/.cursor/mcp.json
- VS Code Research Methods Library Resource/toc-ai_in_action .vscode/mcp.json
- Zed Research Methods Library Resource/toc-ai_in_action ~/.config/zed/settings.json
- Windsurf Research Methods Library Resource/toc-ai_in_action ~/.codeium/windsurf/mcp_config.json
- Cline Research Methods Library Resource/toc-ai_in_action ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Research Methods Library Resource/toc-ai_in_action ~/.gemini/settings.json
- Grok Research Methods Library Resource/toc-ai_in_action .mcp.json (in your project root)
- ChatGPT Research Methods Library Resource/toc-ai_in_action Settings → Connectors → Advanced → Developer mode
- Claude.ai Research Methods Library Resource/toc-ai_in_action Settings → Connectors → Add custom connector
- LangChain Research Methods Library Resource/toc-ai_in_action pip install langchain-mcp-adapters
Other resources on this server
Research Methods Library also offers 3 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 15 October 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.