Uses FastAPI to create a REST API server that handles requests for managing conversation context and interacting with language models.
Integrates with Google Gemini API to enable context-aware conversations with the language model, allowing the system to maintain conversation history across multiple requests.
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.
.env file and add the API key:The server will be available at: http://localhost:9999
Send request (will create a new session):
Continue the dialogue in the same session:
Use a specific session by ID:
Show list of all sessions:
mcp_server.py - Main MCP servermcp_client.py - Client for interaction with the serverrequirements.txt - Project dependenciesMIT
Alex Replicator - alex.replicator@gmail.com
This server cannot be installed
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.