find_camerons_work_on_topic — CamFeed Journalism Archive MCP Prompt
find_camerons_work_on_topic
is one of 5 prompts on the
CamFeed Journalism Archive
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke find_camerons_work_on_topic from your client
- Claude Code CamFeed Journalism Archive Prompt/find_camerons_work_on_topic run in your project directory
- Claude Desktop CamFeed Journalism Archive Prompt/find_camerons_work_on_topic ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor CamFeed Journalism Archive Prompt/find_camerons_work_on_topic ~/.cursor/mcp.json
- VS Code CamFeed Journalism Archive Prompt/find_camerons_work_on_topic .vscode/mcp.json
- Zed CamFeed Journalism Archive Prompt/find_camerons_work_on_topic ~/.config/zed/settings.json
- Windsurf CamFeed Journalism Archive Prompt/find_camerons_work_on_topic ~/.codeium/windsurf/mcp_config.json
- Cline CamFeed Journalism Archive Prompt/find_camerons_work_on_topic ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI CamFeed Journalism Archive Prompt/find_camerons_work_on_topic ~/.gemini/settings.json
- Grok CamFeed Journalism Archive Prompt/find_camerons_work_on_topic .mcp.json (in your project root)
- ChatGPT CamFeed Journalism Archive Prompt/find_camerons_work_on_topic Settings → Connectors → Advanced → Developer mode
- Claude.ai CamFeed Journalism Archive Prompt/find_camerons_work_on_topic Settings → Connectors → Add custom connector
- LangChain CamFeed Journalism Archive Prompt/find_camerons_work_on_topic pip install langchain-mcp-adapters
Other prompts on this server
CamFeed Journalism Archive also offers 13 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.