Talk to Girlfriend AI
im busy building ai agents so why not let an ai talk to my girlfriend? (i am single)
What is Talk to Girlfriend AI?
Talk to Girlfriend AI is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to im busy building ai agents so why not let an ai talk to my girlfriend? (i am single)
im busy building ai agents so why not let an ai talk to my girlfriend? (i am single)
This server falls under the Communication category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- im busy building ai agents so why not let an ai talk to my g
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx talk-to-girlfriend-aiConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Talk to Girlfriend AI
Talk to Girlfriend AI is a Telegram MCP server and AI agent built with Claude Sonnet and the Nia semantic search API that exposes 60+ Telegram tools for reading and sending messages, managing chats, sending reactions, editing and deleting messages, searching conversation history, and checking user online status. An optional AI agent layer adds pickup-line retrieval and dating-guide search against a Nia-indexed knowledge base. You would use it to give an AI assistant full programmatic control over a Telegram account for conversation automation or as a Telegram integration for an MCP client.
Prerequisites
- Python 3.10+ and uv package manager
- A Telegram account with API credentials from my.telegram.org/apps (TELEGRAM_API_ID and TELEGRAM_API_HASH)
- A Telegram session string generated by the included session_string_generator.py script
- An AI Gateway API key for the agent component (Vercel AI Gateway or compatible)
- A Nia API key from trynia.ai (required for the semantic pickup-line and dating-guide search tools)
Get Telegram API credentials
Log in at my.telegram.org/apps and create an application to obtain your API ID and API Hash. These are account-level credentials, not bot tokens — this integration uses a user account session.
Clone the repository and install Python dependencies
Clone the repository and install its dependencies using uv. The project uses uv for dependency management.
git clone https://github.com/arlanrakh/talk-to-girlfriend-ai.git
cd talk-to-girlfriend-ai
uv syncGenerate a Telegram session string
Run the included helper script to authenticate with Telegram and produce a persistent session string. You will be prompted for your phone number and a confirmation code sent by Telegram.
uv run session_string_generator.pyConfigure environment variables
Copy the example environment file and fill in your credentials. TELEGRAM_API_ID, TELEGRAM_API_HASH, and TELEGRAM_SESSION_STRING are required. AI_GATEWAY_API_KEY and NIA_API_KEY are needed for the agent and semantic search features.
cp .env.example .env
# Edit .env with your values:
# TELEGRAM_API_ID=your_api_id
# TELEGRAM_API_HASH=your_api_hash
# TELEGRAM_SESSION_STRING=your_session_string
# AI_GATEWAY_API_KEY=your_vercel_ai_gateway_key
# NIA_API_KEY=your_nia_api_key
# NIA_CODEBASE_SOURCE=your_pickup_lines_source_uuidStart the Telegram API bridge and add to MCP client
Start the FastAPI bridge server that proxies Telegram operations, then add the MCP server to your Claude Desktop config to expose all 60+ Telegram tools.
python telegram_api.py
# Claude Desktop config:
# {
# "mcpServers": {
# "telegram": {
# "command": "uv",
# "args": ["--directory", "/path/to/talk-to-girlfriend-ai", "run", "main.py"]
# }
# }
# }Talk to Girlfriend AI Examples
Client configuration
Claude Desktop configuration for the Telegram MCP server using uv to run main.py from the cloned repository directory.
{
"mcpServers": {
"telegram": {
"command": "uv",
"args": [
"--directory",
"/Users/yourname/talk-to-girlfriend-ai",
"run",
"main.py"
],
"env": {
"TELEGRAM_API_ID": "12345678",
"TELEGRAM_API_HASH": "abcdef1234567890abcdef1234567890",
"TELEGRAM_SESSION_STRING": "your_session_string_here"
}
}
}
}Prompts to try
These prompts exercise the Telegram messaging, search, reaction, and user status tools exposed by the MCP server.
- "Show me the last 20 messages from @username."
- "Send 'Hey, I was thinking about you!' to @username."
- "React to the last message in chat @username with a heart emoji."
- "Search our conversation with @username for messages about 'dinner plans'."
- "Is @username currently online?"
- "Edit my last message to @username and fix the typo."Troubleshooting Talk to Girlfriend AI
Authentication fails when generating the session string
Ensure your TELEGRAM_API_ID and TELEGRAM_API_HASH match the credentials for the same Telegram account you are logging into. Two-factor authentication (2FA) is supported — enter your cloud password when prompted.
The FastAPI bridge server is not reachable when the MCP server starts
The Telegram API bridge (telegram_api.py) must be running on port 8765 before the MCP server (main.py) starts. Start telegram_api.py first in a separate terminal and confirm it is listening before launching the MCP server or Claude Desktop.
Nia semantic search tools return empty results
Verify NIA_API_KEY and NIA_CODEBASE_SOURCE are set correctly in .env. The NIA_CODEBASE_SOURCE must be the UUID of a source you have created and indexed at trynia.ai. Without indexed content the search tools return no results.
Frequently Asked Questions about Talk to Girlfriend AI
What is Talk to Girlfriend AI?
Talk to Girlfriend AI is a Model Context Protocol (MCP) server that im busy building ai agents so why not let an ai talk to my girlfriend? (i am single) It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Talk to Girlfriend AI?
Follow the installation instructions on the Talk to Girlfriend AI GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Talk to Girlfriend AI?
Talk to Girlfriend AI works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Talk to Girlfriend AI free to use?
Yes, Talk to Girlfriend AI is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
Talk to Girlfriend AI Alternatives — Similar Communication Servers
Looking for alternatives to Talk to Girlfriend AI? Here are other popular communication servers you can use with Claude, Cursor, and VS Code.
Slack
★ 86.1kEnables interaction with Slack workspaces through comprehensive channel management, messaging, user management, file uploads, and Block Kit formatting. Features secure credential storage via macOS Keychain and supports all major Slack operations incl
LibreChat
★ 37.3kEnhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenA
Note Gen
★ 11.9kA cross-platform Markdown AI note-taking software.
DeepChat
★ 5.8k🐬DeepChat - A smart assistant that connects powerful AI to your personal world
WhatsApp MCP
★ 5.7kConnects AI assistants to the official Meta WhatsApp Cloud API for managing conversations and sending various message types through natural language. It provides tools for media management, template messages, and real-time webhook processing without
Apple
★ 3.1kEnables interaction with Apple apps like Messages, Notes, and Contacts through the MCP protocol to send messages, search, and open app content using natural language.
Browse More Communication MCP Servers
Explore all communication servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Talk to Girlfriend AI in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Talk to Girlfriend AI?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.