Design · MODEL CONTEXT PROTOCOL

Srish ty MCP Testing interface for LLMs

MCP Testing interface for LLMs

Open source All MCP Servers

WHAT IT CONNECTS

What Srish ty MCP Testing interface for LLMs gives an AI Agent

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

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.

README

Repository documentation

Memory Context Provider (MCP) Server

A server that manages context for LLM interactions, storing and providing relevant context for each user.

Features

In-memory storage of user contexts
Context management with last 5 prompts
RESTful API endpoints
TypeScript support

Setup

Install dependencies:
```
npm install
```
Start the development server:
```
npm run dev
```

API Endpoints

POST /context/:userId

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 /context/:userId

Get current context for a user.

Response:

{
  "context": "Current context"
}

DELETE /context/:userId

Clear context for a user.

Response:

{
  "message": "Context cleared"
}

Development

npm run dev: Start development server with hot reload
npm run build: Build TypeScript files
npm start: Run built files

View README on GitHub

COMMUNITY

Save, rate, and discuss

Loading community data…