WikiStrata

WikiStrata

Enables querying and interacting with a Markdown wiki generated from Confluence pages, with search and MCP server for LLM access.

Category
访问服务器

README

WikiStrata

Build a Markdown wiki and MCP layer from a Confluence tree.

WikiStrata is a public-facing, Confluence-first toolkit for turning internal documentation into structured Markdown, searchable indexes, and agent-friendly MCP context.

Language versions:

This is a prototype and a concept. Take it, adapt it, make it yours.

WikiStrata is currently Confluence-first. It is built to help a team connect a Confluence tree, ingest it into immutable source files, rebuild it into Markdown, and expose that wiki through MCP.

Goals

  • ingest Confluence page trees as immutable Layer 1 source data
  • rebuild them into a structured Layer 2 wiki using schema-driven rules
  • expose the wiki through stdio and HTTP MCP transports
  • provide reusable onboarding via init-style schema suggestion workflows

Current public-safe scope

  • generic Confluence ingest and attachment extraction
  • schema-driven sample build pipeline
  • Whoosh-backed search indexing
  • public CLI for init, ingest, build, index, stats, and MCP entrypoints
  • stdio MCP server
  • HTTP MCP server with CIDR and token gates
  • synthetic sample schema and test coverage
  • a tiny committed sample vault for GitHub browsing

Screenshots

CLI

WikiStrata CLI

Generated Summary

WikiStrata Summary

Obsidian Graph View

WikiStrata Graph View

Quickstart

cd <project-root>
python -m venv .venv
.venv\Scripts\activate
python -m pip install -e .

Then:

wikistrata init --write-starter-schema
wikistrata sample-project .\wikistrata-sample
cd .\wikistrata-sample
wikistrata build-wiki
wikistrata build-index
wikistrata search "refund policy"
wikistrata rebuild
wikistrata-mcp

Documentation

  • docs/CONFLUENCE_FIRST.md
  • docs/QUICKSTART.md
  • docs/SCHEMA_GUIDE.md
  • docs/SAMPLE_DATASET.md
  • docs/SCREENSHOT_GUIDE.md
  • docs/INIT_ONBOARDING_DESIGN.md
  • docs/REPO_BOUNDARY.md
  • docs/RELEASE_CHECKLIST.md
  • docs/PUBLIC_CONVERSION_AUDIT.md

Included samples

  • examples/sample-vault/
    • a very small committed markdown sample for GitHub browsing
  • wikistrata sample-project ...
    • the fuller synthetic demo flow for screenshots, Obsidian, and CLI demos

What is happening in this workspace

This workspace is being built with a whitelist strategy. Only generic engine code, generic schema examples, synthetic sample data, and public documentation should land here.

See:

  • docs/PUBLIC_CONVERSION_AUDIT.md
  • docs/WHITELIST.md
  • docs/MIGRATION_PLAN.md

Release gates

The project should not be published until all of the following are true.

  • no company names, brand names, internal URLs, page IDs, or internal examples remain
  • schema files are synthetic and domain-neutral
  • tests use synthetic fixtures only
  • documentation is rewritten for public users
  • the package name, CLI help text, and MCP server metadata are public-ready

Immediate priorities

  1. Move only generic core modules into src/wikistrata.
  2. Replace internal schema and fixtures with synthetic examples.
  3. Rewrite public docs around setup, schema customization, and MCP usage.
  4. Rename the package and CLI surface from internal names to public names.

Deferred work

These items do not block the split itself.

  • build_wiki.py refactor
  • production LLM synthesis automation
  • PPT image extraction
  • auth modernization beyond Basic Auth

Project Status

WikiStrata is an early public release.

The public surface is intentionally narrow and strong:

  • Confluence-first ingest
  • Markdown wiki generation
  • Whoosh-based search
  • stdio and HTTP MCP access

Broader multi-source onboarding and richer automation can come later.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选