fix: store original MCP tool name, make close_mcp public

README.md

@@ -16,7 +16,7 @@
 
 ⚡️ Delivers core agent functionality in just **~4,000** lines of code — **99% smaller** than Clawdbot's 430k+ lines.
 
-📏 Real-time line count: **3,536 lines** (run `bash core_agent_lines.sh` to verify anytime)
+📏 Real-time line count: **3,656 lines** (run `bash core_agent_lines.sh` to verify anytime)
 
 ## 📢 News
 
@@ -683,6 +683,40 @@ That's it! Environment variables, model prefixing, config matching, and `nanobot
 </details>
 
 
+### MCP (Model Context Protocol)
+
+> [!TIP]
+> The config format is compatible with Claude Desktop / Cursor. You can copy MCP server configs directly from any MCP server's README.
+
+nanobot supports [MCP](https://modelcontextprotocol.io/) — connect external tool servers and use them as native agent tools.
+
+Add MCP servers to your `config.json`:
+
+```json
+{
+  "tools": {
+    "mcpServers": {
+      "filesystem": {
+        "command": "npx",
+        "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/dir"]
+      }
+    }
+  }
+}
+```
+
+Two transport modes are supported:
+
+| Mode | Config | Example |
+|------|--------|---------|
+| **Stdio** | `command` + `args` | Local process via `npx` / `uvx` |
+| **HTTP** | `url` | Remote endpoint (`https://mcp.example.com/sse`) |
+
+MCP tools are automatically discovered and registered on startup. The LLM can use them alongside built-in tools — no extra configuration needed.
+
+
+
+
 ### Security
 
 > For production deployments, set `"restrictToWorkspace": true` in your config to sandbox the agent.

nanobot/agent/loop.py

@@ -229,7 +229,7 @@ class AgentLoop:
             except asyncio.TimeoutError:
                 continue
     
-    async def _close_mcp(self) -> None:
+    async def close_mcp(self) -> None:
         """Close MCP connections."""
         if self._mcp_stack:
             try:

nanobot/agent/tools/mcp.py

@@ -14,7 +14,7 @@ class MCPToolWrapper(Tool):
 
     def __init__(self, session, server_name: str, tool_def):
         self._session = session
-        self._server = server_name
+        self._original_name = tool_def.name
         self._name = f"mcp_{server_name}_{tool_def.name}"
         self._description = tool_def.description or tool_def.name
         self._parameters = tool_def.inputSchema or {"type": "object", "properties": {}}
@@ -33,9 +33,7 @@ class MCPToolWrapper(Tool):
 
     async def execute(self, **kwargs: Any) -> str:
         from mcp import types
-        result = await self._session.call_tool(
-            self._name.removeprefix(f"mcp_{self._server}_"), arguments=kwargs
-        )
+        result = await self._session.call_tool(self._original_name, arguments=kwargs)
         parts = []
         for block in result.content:
             if isinstance(block, types.TextContent):

nanobot/cli/commands.py

@@ -405,7 +405,7 @@ def gateway(
         except KeyboardInterrupt:
             console.print("\nShutting down...")
         finally:
-            await agent._close_mcp()
+            await agent.close_mcp()
             heartbeat.stop()
             cron.stop()
             agent.stop()
@@ -473,7 +473,7 @@ def agent(
             with _thinking_ctx():
                 response = await agent_loop.process_direct(message, session_id)
             _print_agent_response(response, render_markdown=markdown)
-            await agent_loop._close_mcp()
+            await agent_loop.close_mcp()
         
         asyncio.run(run_once())
     else:
@@ -515,7 +515,7 @@ def agent(
                         console.print("\nGoodbye!")
                         break
             finally:
-                await agent_loop._close_mcp()
+                await agent_loop.close_mcp()
         
         asyncio.run(run_interactive())