estimate_ai_project — Context Studios MCP MCP Prompt

estimate_ai_project is one of 3 prompts on the Context Studios MCP MCP server. Connect the server and it appears in your client, ready to invoke.

by client

How to invoke estimate_ai_project from your client

• Claude Code Context Studios MCP Prompt/estimate_ai_project run in your project directory
• Claude Desktop Context Studios MCP Prompt/estimate_ai_project ~/Library/Application Support/Claude/claude_desktop_config.json
• Cursor Context Studios MCP Prompt/estimate_ai_project ~/.cursor/mcp.json
• VS Code Context Studios MCP Prompt/estimate_ai_project .vscode/mcp.json
• Zed Context Studios MCP Prompt/estimate_ai_project ~/.config/zed/settings.json
• Windsurf Context Studios MCP Prompt/estimate_ai_project ~/.codeium/windsurf/mcp_config.json
• Cline Context Studios MCP Prompt/estimate_ai_project ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
• Gemini CLI Context Studios MCP Prompt/estimate_ai_project ~/.gemini/settings.json
• Grok Context Studios MCP Prompt/estimate_ai_project .mcp.json (in your project root)
• ChatGPT Context Studios MCP Prompt/estimate_ai_project Settings → Connectors → Advanced → Developer mode
• Claude.ai Context Studios MCP Prompt/estimate_ai_project Settings → Connectors → Add custom connector
• LangChain Context Studios MCP Prompt/estimate_ai_project pip install langchain-mcp-adapters

Other prompts on this server

• ask_context_studios
• compare_ai_tools

Context Studios MCP also offers 3 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.