MCPHub LabRegistryllamastack/llama-stack
llamastack

llamastack/llama stack

Built by llamastack โ€ข 8,302 stars

What is llamastack/llama stack?

A high-performance MCP server implementation for llamastack/llama-stack that bridges the gap between the Model Context Protocol and external services. It allows Large Language Models to interact with your data and tools with low latency and native support.

How to use llamastack/llama stack?

1. Ensure you have an MCP-compatible client (like Claude Desktop) installed. 2. Configure your server with: npx @modelcontextprotocol/llamastack/llama-stack 3. Restart your client and verify the new tools are available in the system catalog.
๐Ÿ›ก๏ธ Scoped (Restricted)
npx @modelcontextprotocol/llamastack-llama-stack --scope restricted
๐Ÿ”“ Unrestricted Access
npx @modelcontextprotocol/llamastack-llama-stack

Key Features

Native MCP Protocol Support
High-performance Data Streaming
Type-safe Tool Definitions
Seamless Environment Integration

Optimized Use Cases

Connecting external databases to AI workflows
Automating workflow tasks via natural language
Augmenting developer productivity with specialized tools

llamastack/llama stack FAQ

Q

What is an MCP server?

MCP is an open standard that enables developers to build secure, two-way integrations between AI models and local or remote data sources.

Q

Is this server ready for production?

Yes, this server follows standard MCP security patterns and tool-restricted access.

Official Documentation

View on GitHub
<h1 align="center">OGX</h1> <p align="center"> <a href="https://pypi.org/project/ogx/"><img src="https://img.shields.io/pypi/v/ogx?logo=pypi" alt="PyPI Version"></a> <a href="https://pypi.org/project/ogx/"><img src="https://img.shields.io/pypi/dm/ogx" alt="PyPI Downloads"></a> <a href="https://hub.docker.com/u/ogxai"><img src="https://img.shields.io/docker/pulls/ogxai/distribution-starter?logo=docker" alt="Docker Hub Pulls"></a> <a href="https://github.com/ogx-ai/ogx/blob/main/LICENSE"><img src="https://img.shields.io/pypi/l/ogx.svg" alt="License"></a> <a href="https://discord.gg/bUYRqEvK6"><img src="https://img.shields.io/discord/1257833999603335178?color=5865F2&logo=discord&logoColor=ffffff" alt="Discord"></a> <a href="https://github.com/ogx-ai/ogx/actions/workflows/unit-tests.yml?query=branch%3Amain"><img src="https://github.com/ogx-ai/ogx/actions/workflows/unit-tests.yml/badge.svg?branch=main" alt="Unit Tests"></a> <a href="https://github.com/ogx-ai/ogx/actions/workflows/integration-tests.yml?query=branch%3Amain"><img src="https://github.com/ogx-ai/ogx/actions/workflows/integration-tests.yml/badge.svg?branch=main" alt="Integration Tests"></a> <a href="https://ogx-ai.github.io/docs/api-openai/conformance"><img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fraw.githubusercontent.com%2Fogx-ai%2Fogx%2Fmain%2Fdocs%2Fstatic%2Fopenai-coverage.json&query=%24.summary.conformance.score&suffix=%25&label=OpenResponses%20Conformance&color=brightgreen" alt="OpenResponses Conformance"></a> <a href="https://deepwiki.com/ogx-ai/ogx"><img src="https://deepwiki.com/badge.svg" alt="Ask DeepWiki"></a> </p> <p align="center"> <b>English</b> ยท <a href="README.zh.md">็ฎ€ไฝ“ไธญๆ–‡</a> </p>

Quick Start | Documentation | OpenAI API Compatibility | Discord

[!IMPORTANT] Llama Stack is now OGX. The name changed, and so did the mission โ€” model-agnostic, multi-SDK, production-grade. Read the full announcement โ†’

Open-source agentic API server for building AI applications. OpenAI-compatible. Any model, any infrastructure.

<p align="center"> <img src="docs/static/img/architecture-animated.svg" alt="OGX Architecture" width="100%"> </p>

OGX is a drop-in replacement for the OpenAI API that you can run anywhere โ€” your laptop, your datacenter, or the cloud. Use any OpenAI-compatible client or agentic framework. Swap between Llama, GPT, Gemini, Mistral, or any model without changing your application code.

from openai import OpenAI

client = OpenAI(base_url="http://localhost:8321/v1", api_key="fake")
response = client.chat.completions.create(
    model="llama-3.3-70b",
    messages=[{"role": "user", "content": "Hello"}],
)

What you get

  • Chat Completions & Embeddings โ€” standard /v1/chat/completions, /v1/completions, and /v1/embeddings endpoints, compatible with any OpenAI client
  • Responses API โ€” server-side agentic orchestration with tool calling, MCP server integration, and built-in file search (RAG) in a single API call (learn more)
  • Vector Stores & Files โ€” /v1/vector_stores and /v1/files for managed document storage and search
  • Batches โ€” /v1/batches for offline batch processing
  • Skills โ€” /v1alpha/skills for managing versioned skill bundles (zip archives with SKILL.md manifests) that agents can invoke
  • Open Responses conformant โ€” the Responses API implementation passes the Open Responses conformance test suite
  • Multi-SDK support โ€” use the Anthropic SDK (/v1/messages) or Google GenAI SDK (/v1alpha/interactions) natively alongside the OpenAI API

Use any model, use any infrastructure

OGX has a pluggable provider architecture. Develop locally with Ollama, deploy to production with vLLM, or connect to a managed service โ€” the API stays the same.

See the provider documentation for the full list.

Get started

Install and run a OGX server:

# One-line install
curl -LsSf https://github.com/ogx-ai/ogx/raw/main/scripts/install.sh | bash

# Or install via uv
uv pip install ogx

# Start the server (auto-detects providers from the environment)
uv run ogx go

Then connect with any OpenAI, Anthropic, or Google GenAI client โ€” Python, TypeScript, curl, or any framework that speaks these APIs.

See the Quick Start guide for detailed setup.

Resources

Client SDKs:

OGX provides official client SDKs for Python and TypeScript:

LanguageSDKPackage
Pythonogx-client-pythonPyPI version
TypeScriptogx-client-typescriptNPM version

Community

We hold regular community calls every Thursday at 09:00 AM PST โ€” see the Community Event on Discord for details.

Star History Chart

Thanks to all our amazing contributors!

<a href="https://github.com/ogx-ai/ogx/graphs/contributors"> <img src="https://contrib.rocks/image?repo=ogx-ai/ogx" alt="OGX contributors" /> </a>

Global Ranking

7.6
Trust ScoreMCPHub Index

Based on codebase health & activity.

Manual Config

{ "mcpServers": { "llamastack-llama-stack": { "command": "npx", "args": ["llamastack-llama-stack"] } } }