Update README.md

README.md

@@ -48,6 +48,61 @@ As of now, MiniCPM4-MCP supports the following:
 
 - Cross-tool-calling capability: It can perform single- or multi-step tool calls using different tools that complies with the MCP.
 
+
+## Inference
+
+### MCP Servers Deployment
+
+The MCP Servers supported by MiniCPM4-MCP include
+[Airbnb](https://github.com/openbnb-org/mcp-server-airbnb), 
+[Amap-Maps](https://github.com/zxypro1/amap-maps-mcp-server),
+[Arxiv-MCP-Server](https://github.com/blazickjp/arxiv-mcp-server),
+[Calculator](https://github.com/githejie/mcp-server-calculator),
+[Computer-Control-MCP](https://github.com/AB498/computer-control-mcp),
+[Desktop-commander](https://github.com/wonderwhy-er/DesktopCommanderMCP),
+[Filesystem](https://github.com/mark3labs/mcp-filesystem-server),
+[Github](https://github.com/modelcontextprotocol/servers/tree/main/src/github),
+[Gaode](https://github.com/perMAIN/gaode),
+[MCP-Code-Executor](https://github.com/bazinga012/mcp_code_executor),
+[MCP-DOCx](https://github.com/MeterLong/MCP-Doc),
+[PPT](https://github.com/GongRzhe/Office-PowerPoint-MCP-Server),
+[PPTx](https://github.com/supercurses/powerpoint),
+[Simple-Time-Server](https://github.com/andybrandt/mcp-simple-timeserver),
+[Slack](https://github.com/modelcontextprotocol/servers/tree/main/src/slack), and
+[Whisper](https://github.com/arcaputo3/mcp-server-whisper). Follow the instructions provided in each server's repository for successful deployment. Note that not all tools in these servers will function properly in every environment. Some tools are unstable and may return errors such as timeouts or HTTP errors. During training data construction, tools with consistently high failure rates (e.g., those for which the LLM fails to produce a successful query even after hundreds of attempts) are filtered out.
+
+### MCP Client Setup
+
+We modified the existing MCP Client from the [mcp-cli](https://github.com/chrishayuk/mcp-cli) repository to enable interaction between MiniCPM and MCP Servers.  
+After the MCP Client performs a handshake with a Server, it retrieves a list of available tools. An example of tool information contained in this list is provided in [`available_tool_example.json`](https://github.com/OpenBMB/MiniCPM/blob/main/demo/minicpm4/MCP/available_tool_example.json).  
+
+Once the available tools and user query are obtained, results can be generated using the following script logic:
+
+```bash
+python generate_example.py \
+--tokenizer_path {path to MiniCPM4 tokenizer} \
+--base_url {vllm deployment URL} \
+--model {model name used in vllm deployment} \
+--output_path {path to save results}
+```
+where the `generate_example.py` is located in [link](https://github.com/OpenBMB/MiniCPM/blob/main/demo/minicpm4/MCP/generate_example.py) and MiniCPM4 generates tool calls in the following format:
+
+```
+    <|tool_call_start|>
+    ```python 
+    read_file(path="/path/to/file")
+    ```
+    <|tool_call_end|>
+```
+You can build a custom parser for MiniCPM4 tool calls based on this format. The relevant parsing logic is located in `generate_example.py`.
+
+Since the [mcp-cli](https://github.com/chrishayuk/mcp-cli) repository supports the vLLM inference framework, MiniCPM4-MCP can also be integrated into `mcp-cli` by modifying vLLM accordingly.  
+Specifically, follow the instructions in [this link](https://github.com/OpenBMB/MiniCPM/tree/main/demo/minicpm3/function_call) to enable interaction between a client running the MiniCPM4-MCP model and the MCP Server.
+
+
+
+
+
 ## Evaluation
 The detailed evaluation script can be found on the [GitHub](https://github.com/OpenBMB/MiniCPM/tree/main/demo/minicpm4/MCP) page. The evaluation results are presented below.