This is an automated email from the ASF dual-hosted git repository.

guoqi pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/apisix-website.git


The following commit(s) were added to refs/heads/master by this push:
     new cf608b3cc51 fix: video format in apisix-mcp blog (#1886)
cf608b3cc51 is described below

commit cf608b3cc51de38299c6bb0abac35dc774dae125
Author: Yilia Lin <[email protected]>
AuthorDate: Wed Apr 2 10:25:50 2025 +0800

    fix: video format in apisix-mcp blog (#1886)
---
 .../04/01/embrace-intelligent-api-management-with-ai-and-mcp.md     | 6 +++---
 .../04/01/embrace-intelligent-api-management-with-ai-and-mcp.md     | 2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git 
a/blog/en/blog/2025/04/01/embrace-intelligent-api-management-with-ai-and-mcp.md 
b/blog/en/blog/2025/04/01/embrace-intelligent-api-management-with-ai-and-mcp.md
index 58434272a51..79153f962af 100644
--- 
a/blog/en/blog/2025/04/01/embrace-intelligent-api-management-with-ai-and-mcp.md
+++ 
b/blog/en/blog/2025/04/01/embrace-intelligent-api-management-with-ai-and-mcp.md
@@ -101,7 +101,7 @@ Below is a step-by-step guide using **Cursor**:
    }
    ```  
   
-In the `mcpServers` field of the configuration file, add a service 
`apisix-mcp`, which can be changed. Then configure the commands of running MCP 
service.
+In the `mcpServers` field of the configuration file, add a service 
`apisix-mcp`, which can be changed. Then configure the commands for running the 
MCP service.
 
 - **`command`**: `npx` (Node.js package executor).  
 - **`args`**: `-y` (auto-install dependencies) and `apisix-mcp` (package 
name).  
@@ -126,14 +126,14 @@ In the `env` field, you can specify the APISIX service 
access address, Admin API
 
    ![Select Agent 
Models](https://static.api7.ai/uploads/2025/04/01/g9v91DIf_apisix-mcp-4.webp)  
 
-5. Next, we can enter relevant operational commands to verify if the MCP 
service is functioning correctly. Following the workflow in APISIX's Getting 
Started documentation, we input the following into the dialog box, and send the 
message:  
+5. Next, we can enter relevant operational commands to verify if the MCP 
service is functioning correctly. Following the workflow in APISIX's Getting 
Started documentation, we input the following into the dialog box and send the 
message:  
 
    > *"Help me create a route with path `/api` for accessing 
`https://httpbin.org` upstream, with CORS and rate-limiting plugins. Print the 
route details after configuration."*  
 
 6. Next, in Cursor, you will see a process similar to the MCP tool invocation 
demonstrated in the video below. Due to the inherent randomness of large AI 
model responses, the exact operations performed may vary from the example shown.
 
    <video width="100%" controls>  
-     <source 
src="https://static.api7.ai/uploads/2025/04/01/V7CmO59u_mcp-demo.mp4"; 
type="video/mp4">  
+     <source 
src="https://static.api7.ai/uploads/2025/04/01/V7CmO59u_mcp-demo.mp4"; 
type="video/mp4"/>  
    </video>  
 
 Here, the auto-execution mode (YOLO Mode) is enabled, allowing Cursor to 
automatically invoke all tools in the MCP server. From the video, we can 
observe the AI performing the following operations based on our requirements:
diff --git 
a/blog/zh/blog/2025/04/01/embrace-intelligent-api-management-with-ai-and-mcp.md 
b/blog/zh/blog/2025/04/01/embrace-intelligent-api-management-with-ai-and-mcp.md
index 8571aa99669..7e1387100ad 100644
--- 
a/blog/zh/blog/2025/04/01/embrace-intelligent-api-management-with-ai-and-mcp.md
+++ 
b/blog/zh/blog/2025/04/01/embrace-intelligent-api-management-with-ai-and-mcp.md
@@ -128,7 +128,7 @@ APISIX-MCP 目前已经开源并发布到了 npm([apisix-mcp npm](https://www.
 6. 接下来我们会在 cursor 中看到类似下面视频中 MCP 工具调用过程流程,由于 AI 
大模型本身响应具有随机性,所以每次执行的操作不一定与示例中相同。
 
 <video width="100%" height="auto" controls>
-  <source 
src="https://static.api7.ai/uploads/2025/04/01/V7CmO59u_mcp-demo.mp4"; 
type="video/mp4">
+  <source 
src="https://static.api7.ai/uploads/2025/04/01/V7CmO59u_mcp-demo.mp4"; 
type="video/mp4"/>
 </video>
 
 这里开启了自动执行模式(YOLO Mode)允许 cursor 自动调用 mcp 服务器中的所有工具,从视频中我们可以看到 AI 根据我们的需求:

Reply via email to