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mcp-chat

MCP Tool

UpasanaGhosh/mcp-chat

A CLI-based AI chat application using the Anthropic API, with support for document retrieval, command-driven interactions, and extensible integrations through the Model Control Protocol (MCP).

Install

$ npx loaditout add UpasanaGhosh/mcp-chat

Platform-specific configuration:

.claude/settings.json
{
  "mcpServers": {
    "mcp-chat": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-chat"
      ]
    }
  }
}

Add the config above to .claude/settings.json under the mcpServers key.

About

MCP Chat

MCP Chat is a command-line interface application that enables interactive chat capabilities with AI models through the Anthropic API. The application supports document retrieval, command-based prompts, and extensible tool integrations via the MCP (Model Control Protocol) architecture.

Prerequisites
  • Python 3.9+
  • Anthropic API Key
Setup
Step 1: Configure the environment variables
  1. Create or edit the .env file in the project root and verify that the following variables are set correctly:
ANTHROPIC_API_KEY=""  # Enter your Anthropic API secret key
Step 2: Install dependencies
Option 1: Setup with uv (Recommended)

uv is a fast Python package installer and resolver.

  1. Install uv, if not already installed:
pip install uv
  1. Create and activate a virtual environment:
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
  1. Install dependencies:
uv pip install -e .
  1. Run the project
uv run main.py
Option 2: Setup without uv
  1. Create and activate a virtual environment:
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
  1. Install dependencies:
pip install anthropic python-dotenv prompt-toolkit "mcp[cli]==1.8.0"
  1. Run the project
python main.py
Usage
Basic Interaction

Simply type your message and press Enter to chat with the model.

Document Retrieval

Use the @ symbol followed by a document ID to include document content in your query:

> Tell me about @deposition.md
Commands

Use the / prefix to execute commands defined in the MCP server:

> /summarize deposition.md

Commands will auto-complete when you press Tab.

Development
Adding New Documents

Edit the mcp_server.py file to add new documents to the docs dictionary.

Implementing MCP Features

To fully implement the MCP featu

Tags

agentic-aianthropic-apimcp-server

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Quality Signals

0
Installs
Last updated22 days ago
Security: AREADME

Safety

Risk Levelmedium
Data Access
read
Network Accessnone

Details

Sourcegithub-crawl
Last commit3/23/2026
View on GitHub→

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