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The model-compose MCP server was last committed 1mo ago and has 6 contributors. Issue health: 87% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

model-compose MCP Server

Name: hanyeol/model-compose
Rating: 4.2 (1 reviews)
Author: hanyeol

hanyeol/model-compose

Score: 80.6 → 0% Rank #1796 Agent Framework

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Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.

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Overview

hanyeol/model-compose is a Python MCP server licensed under MIT. Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose. Topics: ai-agents, declarative, huggingface, rag, agentic-ai, ai-orchestration, ai-pipeline, audio-processing, ffmpeg, llm-agents, local-llm, mcp-servers, multimodal, self-hosted, streaming, video-processing, vllm, workflow-engine, rag-pipeline.

Ranked #1796 out of 24846 indexed tools.

In the top 8% of all indexed tools.

Ecosystem

Python MIT

ai-agentsdeclarativehuggingfaceragagentic-aiai-orchestrationai-pipelineaudio-processingffmpegllm-agentslocal-llmmcp-serversmultimodalself-hostedstreamingvideo-processingvllmworkflow-enginerag-pipeline

Score Breakdown

Stars 15% 113

113 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 87%

13/15 issues closed → responsive maintainer

Contributors 10% 6

6 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 16

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 47 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 113
Forks: 16
Open Issues: 2
Closed Issues: 13
Contributors: 6
Dependents: —
Language: Python
License: MIT
Last Commit: 1mo ago

Matched Queries

"mcp server""mcp-server"topic:mcptopic:mcp-servertopic:model-context-protocol

From the README

<div align="center">

[한국어](README.ko.md) | [中文](README.zh-cn.md)

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# model-compose

One YAML file. Any model. Any protocol. Any runtime.

Build chat APIs, RAG pipelines, autonomous agents, and MCP servers without writing orchestration code — then run the same definition anywhere, like `docker-compose`.

AI systems shouldn't be locked into a single provider, runtime, or cloud. model-compose is built on four principles:

- **Composable** — Models, agents, workflows, tools, memory, and protocols are interchangeable building blocks.
- **Portable** — Define your AI system once and run it anywhere without re-engineering.
- **Model-Agnostic** — Mix local models and cloud APIs in the same system.
- **Stream-Native** — Tokens, audio, video frames, and events flow through workflows as first-class values.

<div align="center">

[Quick Start](#quick-start) · [What You Can Build](#what-you-can-build) · [Documentation](docs/user-guide/README.md) · [Examples](examples/README.md)

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Read full README on GitHub →