MCP: Model Context Protocol

Project Description

MCP (Model Context Protocol) is a system for managing context when interacting with language models (LLM). The system allows you to save the context of dialogs between requests, which allows the language model to "remember" previous interactions.

Peculiarities

Maintaining and managing context between requests
Integration with Google Gemini API
Possibility of using multiple independent sessions
Switching between sessions using identifiers
Local storage of dialog history

Technologies

Python 3
FastAPI
Gemini API
Uvicorn

Installation

Clone repository:

git clone https://github.com/Alex-Replicator/mcp-letta.git
cd mcp-letta

Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # для Linux/Mac
# или
venv\Scripts\activate  # для Windows

Install dependencies:

pip install -r requirements.txt

Create a .env file and add the API key:

GEMINI_API_KEY=ваш_ключ_gemini_api

Usage

Starting the server

python mcp_server.py

The server will be available at: http://localhost:9999

Using the client

Send request (will create a new session):

python mcp_client.py --new "Ваш запрос к модели"

Continue the dialogue in the same session:

python mcp_client.py "Ваш следующий запрос"

Use a specific session by ID:

python mcp_client.py --id "id_сессии" "Ваш запрос"

Show list of all sessions:

python mcp_client.py --list

Project structure

mcp_server.py - Main MCP server
mcp_client.py - Client for interaction with the server
requirements.txt - Project dependencies

License

MIT

Author

Alex Replicator - alex.replicator@gmail.com

GitHub: https://github.com/Alex-Replicator/

This server cannot be installed

security - not tested

license - not found

quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A system that manages context for language model interactions, allowing the model to remember previous interactions across multiple independent sessions using Gemini API.

Related MCP Servers

Rember MCPofficial
rember
-
security
A
license
-
quality
A Model Context Protocol server that allows Claude to create flashcards for Rember, helping users study and remember information through spaced repetition reviews.
Last updated -
88
16
TypeScript
MIT License
MCP Gemini Server
amitsh06
-
security
F
license
-
quality
A server implementing the Model Context Protocol that enables AI assistants like Claude to interact with Google's Gemini API for text generation, text analysis, and chat conversations.
Last updated -
Python
MCP Conversation Server
bsmi021
-
security
A
license
-
quality
A Model Context Protocol server implementation that provides a standardized interface for applications to interact with OpenRouter's language models through a unified conversation management system.
Last updated -
TypeScript
MIT License
Memory Context Provider Server
Srish-ty
-
security
F
license
-
quality
A server that manages conversation context for LLM interactions, storing recent prompts and providing relevant context for each user via REST API endpoints.
Last updated -
1,133
TypeScript

View all related MCP servers

MCP: Model Context Protocol