# Mcp Llama3 Client > A client for the MCP Flight Search service using Ollama and Llama 3.2 to provide a user-friendly flight search interface with Model Context Protocol tools - **Type:** MCP server - **Install:** `agentstack add mcp-arjunprabhulal-mcp-llama3-client` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [arjunprabhulal](https://agentstack.voostack.com/s/arjunprabhulal) - **Installs:** 0 - **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [arjunprabhulal](https://github.com/arjunprabhulal) - **Source:** https://github.com/arjunprabhulal/mcp-llama3-client - **Website:** https://github.com/arjunprabhulal/mcp-llama3-client ## Install ```sh agentstack add mcp-arjunprabhulal-mcp-llama3-client ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # MCP Llama3 Flight Search Client A client for the MCP Flight Search service using Ollama and Llama 3.2 to provide a user-friendly flight search interface with Model Context Protocol tools. ## Description This client application provides a user-friendly interface to interact with the Model Context Protocol (MCP) flight search service. It allows users to search for flights between airports with specified dates. ## About A client for the MCP Flight Search service using Ollama and Llama 3.2 to provide a user-friendly flight search interface with Model Context Protocol tools github.com/arjunprabhulal/mcp-llama3-client ## Files - `mcp_flight_client.py`: Main client implementation for interacting with the MCP Flight Search service - `prompt_templates.py`: Contains prompt templates for generating flight search queries ## Installation Install the required packages for this client: ``` pip install -r requirements.txt ``` Required packages: - llama-index - llama-index-llms-ollama - llama-index-tools-mcp - langchain-community ### Installing Ollama This client uses Ollama to run Llama 3.2 locally. To install Ollama: 1. Download Ollama from the [official website](https://ollama.com/download) 2. Install and start the Ollama application 3. Pull the Llama 3.2 model: ``` ollama pull llama3.2 ``` ## Prerequisites You need to have the [MCP Flight Search](https://github.com/arjunprabhulal/mcp-flight-search) service running. ### Installing the MCP Flight Search Package ``` # Install from PyPI pip install mcp-flight-search ``` ### Starting the MCP Server You can start the MCP server using one of the following methods: ``` # Using the command-line entry point mcp-flight-search --connection_type http # Or using the Python module approach python -m mcp_flight_search.server --connection_type http ``` ## Usage ``` python mcp_flight_client.py ``` ## Architecture ```ascii +------------------------------+ HTTP +------------------------------+ | | | | | MCP Llama3 Flight Search | | MCP Flight Search Server | | Client (This Repository) | | (Backend Service) | | | | | | - mcp_flight_client.py | | - search_flights_tool | | - prompt_templates.py | | - server_status | | | | | | Uses: | | Uses: | | - llama-index | | - Model Context Protocol | | - llama-index-llms-ollama | | - SerpAPI for Google | | (with Llama 3.2) | | Flights data | | - llama-index-tools-mcp | | | | - langchain-community | | | +------------------------------+ +------------------------------+ | | | | v v +------------------------------+ +------------------------------+ | | | | | Ollama (Local LLM) | | Flight Search | | Running Llama 3.2 | | APIs | | | | | +------------------------------+ +------------------------------+ | | v +------------------------------+ | | | User Interface | | | +------------------------------+ ``` This architecture shows how the MCP Llama3 Flight Search Client connects to the MCP Flight Search Server over HTTP. The client uses various libraries to interact with the server, which in turn uses the Model Context Protocol (MCP) to provide flight search functionality through tools like `search_flights_tool`. The client leverages Ollama to run Llama 3.2 locally, providing powerful language model capabilities while maintaining privacy and reducing dependency on cloud services. ## Author For more articles on AI/ML and Generative AI, follow me on Medium: [https://medium.com/@arjun-prabhulal](https://medium.com/@arjun-prabhulal) ## License This project is licensed under the MIT License ## Source & license This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [arjunprabhulal](https://github.com/arjunprabhulal) - **Source:** [arjunprabhulal/mcp-llama3-client](https://github.com/arjunprabhulal/mcp-llama3-client) - **License:** MIT - **Homepage:** https://github.com/arjunprabhulal/mcp-llama3-client Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/mcp-arjunprabhulal-mcp-llama3-client - Seller: https://agentstack.voostack.com/s/arjunprabhulal - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.