Design · MODEL CONTEXT PROTOCOL
Srish ty MCP Testing interface for LLMs
MCP Testing interface for LLMs
连接能力
Srish ty MCP Testing interface for LLMs 为 AI Agent 提供什么
- In-memory storage of user contexts
- Context management with last 5 prompts
- RESTful API endpoints
- TypeScript support
- Install dependencies:
- Start the development server:
- `npm run dev`: Start development server with hot reload
- `npm run build`: Build TypeScript files
- `npm start`: Run built files
安全
MCP 收录不等于安全审核
MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前,请检查代码、环境变量、网络行为、软件包来源与维护状态。
README
仓库文档
A server that manages context for LLM interactions, storing and providing relevant context for each user.
- In-memory storage of user contexts
- Context management with last 5 prompts
- RESTful API endpoints
- TypeScript support
-
Install dependencies:
npm install
-
Start the development server:
npm run dev
Add a new prompt to user's context and get updated context.
Request body:
{
"prompt": "Your prompt here"
}Response:
{
"context": "Combined context from last 5 prompts"
}Get current context for a user.
Response:
{
"context": "Current context"
}Clear context for a user.
Response:
{
"message": "Context cleared"
}npm run dev: Start development server with hot reloadnpm run build: Build TypeScript filesnpm start: Run built files
社区
收藏、评分与讨论
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