cn-llm-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CN_LLM_MODEL | No | The model name for the provider (e.g., deepseek-chat, qwen-plus) | |
| CN_LLM_API_KEY | Yes | Your API key for the LLM provider | |
| CN_LLM_BASE_URL | No | Base URL for custom OpenAI-compatible API (only needed when provider=custom) | |
| CN_LLM_PROVIDER | No | The LLM provider. Supported values: deepseek, qwen, kimi, zhipu, doubao, custom |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| run_cn_modelA | Delegate a small, low-risk task to a Chinese LLM provider. Best for drafts, summaries, simple code generation, and mechanical edits. The supervising agent must review the result before using it. |
| draft_code_patchA | Ask a Chinese LLM provider to draft a minimal unified diff for a small code task. Use this only for low-risk changes, then inspect and test the patch before applying it. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ZhuoS62/cn-llm-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server