Is the ApeRAG MCP server actively maintained?

The ApeRAG MCP server was last committed 1mo ago and has 19 contributors. Issue health: 91% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

ApeRAG MCP Server

Name: apecloud/ApeRAG
Rating: 4.5 (1 reviews)
Author: apecloud

apecloud/ApeRAG

Score: 86.5 → 0% Rank #690 MCP Server

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ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment

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Overview

apecloud/ApeRAG is a Python tool licensed under Apache-2.0. ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment Topics: agents, graphrag, knowledge-graph, mcp, context-engineering.

Ranked #690 out of 24846 indexed tools.

In the top 3% of all indexed tools.

Has 1,321 GitHub stars.

Has 19 contributors.

Ecosystem

Python Apache-2.0

agentsgraphragknowledge-graphmcpcontext-engineering

Score Breakdown

Stars 15% 1,321

1,321 stars → well-known project

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 91%

382/419 issues closed → responsive maintainer

Contributors 10% 19

19 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 147

Description Good

License Apache-2.0

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

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Details

Stars: 1,321
Forks: 147
Open Issues: 37
Closed Issues: 382
Contributors: 19
Dependents: —
Language: Python
License: Apache-2.0
Last Commit: 1mo ago

Matched Queries

topic:mcp

From the README

# ApeRAG

ApeRAG is a production-ready RAG (Retrieval-Augmented Generation) platform that combines Graph RAG, vector search, and full-text search with advanced AI agents. Build sophisticated AI applications with hybrid retrieval, multimodal document processing, intelligent agents, and enterprise-grade management features.

ApeRAG is the best choice for building your own Knowledge Graph, Context Engineering, and deploying intelligent AI agents that can autonomously search and reason across your knowledge base.

[阅读中文文档](README-zh.md)

- [Quick Start](#quick-start)
- [Key Features](#key-features)
- [Kubernetes Deployment (Recommended for Production)](#kubernetes-deployment-recommended-for-production)
- [Development](./docs/en-US/development-guide.md)
- [Build Docker Image](./docs/en-US/build-docker-image.md)
- [Acknowledgments](#acknowledgments)
- [License](#license)

## Quick Start

> Before installing ApeRAG, make sure your machine meets the following minimum system requirements:
>
> -

Read full README on GitHub →

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