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Fast MCP Servers

Fast MCP Servers

Local
github.com/jeevanreddygDeveloper Tools0Updated 83w ago
Repository

About Fast MCP Servers

A small project named Fast MCP Servers. Its README lists Ollama and llama3.2 prerequisites and commands to install dependencies and run math_client.py.

Key features

  1. 01Ollama setup prerequisite
  2. 02llama3.2 model prerequisite
  3. 03Dependency setup with uv sync
  4. 04Run math_client.py

Use cases

  1. 01Set up the listed Ollama model
  2. 02Install project dependencies
  3. 03Run the math client
#fastapi#mcp#server

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Fast MCP Servers

Pre-requisite

  1. Download Ollama https://ollama.com/download from and setup
  2. Pull the llama3.2 model (ollama pull llama3.2)

Running

  1. Install the UV (https://docs.astral.sh/uv/getting-started/installation)
  2. Run uv sync
  3. Run uv run math_client.py

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.