| name | cursor-explorer-mcp |
| description | Use for token-expensive operations requiring multi-file analysis - codebase exploration, broad searches, architecture understanding, tracing flows, finding implementations across files. Uses MCP cursor-agent server (company pays) with clean async interface. Do NOT use for single-file analysis, explaining code already in immediate context, or pure reasoning tasks. |
| allowed-tools | mcp__cursor_agent__cursor_agent_start, mcp__cursor_agent__cursor_agent_status, mcp__cursor_agent__cursor_agent_result, Read |
Cursor Explorer (MCP)
Trigger immediately when you see:
- "Find where X is..." → cursor-agent
- "How does X work?" (multi-file) → cursor-agent
- "Trace the flow of..." → cursor-agent
- Manual approach needs 3+ file reads → cursor-agent
Skip for: single file, pure reasoning, code in context, 1-2 line answers
Workflow
# 1. Start query (batch multiple questions)
start = mcp__cursor_agent__cursor_agent_start({
"query": "Find where X is. Give file:line, code snippets, purpose."
})
query_id = json.loads(start)["query_id"]
# 2. Get result (blocks until done)
result = mcp__cursor_agent__cursor_agent_result({
"query_id": query_id,
"wait": True # Blocks automatically, no manual monitoring needed
})
output = json.loads(result)
# 3. If completed, present findings. If failed, fall back to Read/Grep.
Never retry on failure - just fall back to manual tools.
Query Tips
- Request file:line refs
- Ask for code snippets
- Batch related questions
- Be specific about format needed