Is the Petrichor MCP server actively maintained?

The Petrichor MCP server was last committed 1mo ago and has 1 contributor. Issue health: 14% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

Petrichor MCP Server

Name: Ciao1019/Petrichor
Rating: 3.2 (1 reviews)
Author: Ciao1019

Ciao1019/Petrichor

Score: 55.4 Rank #9294 Search & RAG

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A self-hosted knowledge platform for humans and AI agents — publish wikis, blogs, and portable Agent Skills.

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claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

Ciao1019/Petrichor is a TypeScript tool licensed under Apache-2.0. A self-hosted knowledge platform for humans and AI agents — publish wikis, blogs, and portable Agent Skills. Topics: agent-skills, ai-agent, blog, golang, knowledge-base, llm, mcp, rag, react, self-hosted, wiki.

Ranked #9294 out of 24846 indexed tools.

Ecosystem

TypeScript Apache-2.0

agent-skillsai-agentbloggolangknowledge-basellmmcpragreactself-hostedwiki

Score Breakdown

Stars 15% 149

149 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 14%

2/14 issues closed → many open issues

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 13

Description Good

License Apache-2.0

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

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 43 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 12 open vs 2 closed issues — triaging stale issues improves health

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Markdown

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HTML

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HTML

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Details

Stars: 149
Forks: 13
Open Issues: 12
Closed Issues: 2
Contributors: 1
Dependents: —
Language: TypeScript
License: Apache-2.0
Last Commit: 1mo ago

Matched Queries

topic:mcp

From the README

<div align="center">

# Petrichor

### 让知识被人读懂，也被 AI Agent 正确调用

**开源、自托管的知识平台：用 Markdown 写作，把内容编译成语义 Wiki，\
再通过 Agentic RAG 生成可追溯的回答。**

*A self-hosted knowledge platform that turns Markdown into wikis, evidence and agent-ready knowledge.*

[**产品介绍**](https://wl.do/petrichor) · [**在线体验**](https://wl.do) · [**快速开始**](#-快速开始) · [**文档中心**](docs/README.md) · [**GitHub Wiki**](https://github.com/Ciao1019/Petrichor/wiki)

</div>

---

## 🎬 一分钟了解 Petrichor

*写作 → 编译语义 Wiki → 可追溯问答 → 划词问 AI → 交给你的 Agent。画面取自 [wl.do](https://wl.do) 的真实公开页面。*

## ✨ 为什么是 Petrichor

- **知识不是一次性向量。** 原文分片、推荐问题、语义 Wiki 和文章目录并存，分别处理事实、用户问法、概念关系与结构性问题。
- **检索和阅读严格分离。** Agent 先用 Search / Outline 定位，再 Read 原文形成 Evidence，避免把一批相似片段无差别塞进上下文。
- **Wiki 是可维护的知识中间层。** 从整篇文档抽取实体、概念和关系，让多篇文章聚合到同一页面，同时保留来源引用与新鲜度指纹。
- **知识可以交给其它 Agent。** 除 REST 和 MCP 外，还能导出 OKF、Obsidian 与可安装的 Agent Skill 包。
- **运行边界完全可控。** Web、API、Worker、PostgreSQL、Redis 和对象存储均由部署者管理，模型供应商可按用途自由配置。

## 🧩 核心能力

- **随笔与网页采集** — 后台首页随手记录 Markdown、图片和标签，也可粘贴网址交给 Fi

Read full README on GitHub →