research_topic — karandeepsingh blog MCP Prompt
research_topic
is one of 4 prompts on the
karandeepsingh blog
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke research_topic from your client
- Claude Code karandeepsingh blog Prompt/research_topic run in your project directory
- Claude Desktop karandeepsingh blog Prompt/research_topic ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor karandeepsingh blog Prompt/research_topic ~/.cursor/mcp.json
- VS Code karandeepsingh blog Prompt/research_topic .vscode/mcp.json
- Zed karandeepsingh blog Prompt/research_topic ~/.config/zed/settings.json
- Windsurf karandeepsingh blog Prompt/research_topic ~/.codeium/windsurf/mcp_config.json
- Cline karandeepsingh blog Prompt/research_topic ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI karandeepsingh blog Prompt/research_topic ~/.gemini/settings.json
- Grok karandeepsingh blog Prompt/research_topic .mcp.json (in your project root)
- ChatGPT karandeepsingh blog Prompt/research_topic Settings → Connectors → Advanced → Developer mode
- Claude.ai karandeepsingh blog Prompt/research_topic Settings → Connectors → Add custom connector
- LangChain karandeepsingh blog Prompt/research_topic pip install langchain-mcp-adapters
Other prompts on this server
karandeepsingh blog also offers 50 resources — data you attach as context, where a prompt is something you run.
Read from the server itself, by connecting to it and calling prompts/list on 24 September 2026.
A listing does not declare its prompts, 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 prompt's arguments.