What dependencies are required to run MCP Server Tencent?
JDK 17 or higher, Maven 3.6+ for building, and a valid Tencent Cloud login cookie for authentication. Runtime dependencies include Spring Boot, Spring AI, fastjson, Retrofit2, and Jackson.
@yangbuyiya
基本信息
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使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-tencent": {
"command": "/path/to/java",
"args": [
"-Dspring.ai.mcp.server.stdio=true",
"-Dfile.encoding=utf-8",
"-jar",
"/path/to/mcp-server-tencent-1.0.0.jar",
"--tencent.api.categories=MCP知识",
"--tencent.api.cookie=your_cookie_here"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP Server Tencent is a Spring Boot 3.x and Spring AI based server that integrates with Tencent Cloud AI services, providing a unified interface calling capability via the Model Context Protocol (MCP). It is intended for developers who need to connect MCP clients (e.g., AI assistants) to Tencent AI APIs.
Clone the repository, obtain a valid Tencent Cloud login cookie, and either set it as an environment variable (TENCENT_API_COOKIE) or pass it via command-line argument (--tencent.api.cookie). Then compile with Maven and run the JAR file. The server operates over stdio, so it must be launched as a subprocess by an MCP client configured with the appropriate Java command and arguments.
tencent.api.categoriesJDK 17 or higher, Maven 3.6+ for building, and a valid Tencent Cloud login cookie for authentication. Runtime dependencies include Spring Boot, Spring AI, fastjson, Retrofit2, and Jackson.
Authentication uses a Tencent Cloud login cookie. You can pass it via command-line argument (`--tencent.api.cookie=...`), environment variable (`TENCENT_API_COOKIE`), or in `application.yml` under `tencent.api.cookie`.
Logs are written to `data/log/mcp-server-tencent.log` in the working directory.
The cookie contains sensitive information and must never be committed to version control. Cookies may expire periodically and require renewal. The server uses stdio transport, so it must be launched by an MCP client.
It uses standard input/output (stdio) as the MCP transport. Enable it with the JVM argument `-Dspring.ai.mcp.server.stdio=true`.

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