Wiki
БесплатноНе проверенExposes any project wiki to AI assistants with features like fuzzy search, content search, lazy loading, and auto-reload.
Описание
Exposes any project wiki to AI assistants with features like fuzzy search, content search, lazy loading, and auto-reload.
README
A generic MCP (Model Context Protocol) server that exposes any project wiki to AI assistants, enabling contextual wiki lookups during development sessions.
Features
- Lazy loading — indexes headings once, loads content on-demand via byte positions
- Auto-reload — watches the wiki file or markdown directory for changes with debouncing
- Fuzzy search — handles typos and partial matches via levenshtein distance
- Content search — searches within section content, not just headings
- Custom anchors — use
{#anchor}syntax in headings for stable TOC links - Directory mode — index entire markdown directory trees with file-prefixed keys
- Legacy key support — backward-compatible lookup of heading-only keys
- Heading hierarchy — tracks full breadcrumb path for nested sections
- Batch fetch — retrieve multiple sections in one call (max 20)
- Smart suggestions — returns similar keys when a section isn't found
- Path safety — validates markdown sources and safe path resolution
- Graceful shutdown — handles SIGINT/SIGTERM, cleans up watchers
- Structured logging — configurable log levels for debugging
Setup
# 1. Install dependencies
npm install
# 2. Configure wiki path
cp .env.example .env
# 3. Run tests
npm test
.env
WIKI_PATH=path/to/your/wiki-source # file (.md/.markdown) or directory
LOG_LEVEL=info # debug, info, warn, error
MCP Tools
| Tool | Description | Parameters |
|---|---|---|
list_wiki |
List all available wiki sections | none |
browse_wiki |
Browse sections by topic/parent | topic (string, optional) |
search_wiki |
Search sections by keyword | query (string), fuzzy (boolean) |
get_wiki_section |
Get a single section's content | key (string), offset (number), limit (number) |
get_wiki_sections |
Get multiple sections at once | keys (string[], max 20) |
Connecting to AI Assistants
Claude Desktop
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": {
"wiki-explorer": {
"command": "node",
"args": ["/path/to/wiki-explorer/index.js"],
"env": {
"WIKI_PATH": "/path/to/your/docs/wiki"
}
}
}
}
Cursor
Add to Cursor MCP settings:
{
"mcpServers": {
"wiki-explorer": {
"command": "node",
"args": ["/path/to/wiki-explorer/index.js"],
"env": {
"WIKI_PATH": "/path/to/your/docs/wiki"
}
}
}
}
VS Code (GitHub Copilot)
Add to .vscode/mcp.json:
{
"servers": {
"wiki-explorer": {
"command": "node",
"args": ["/path/to/wiki-explorer/index.js"],
"env": {
"WIKI_PATH": "/path/to/your/docs/wiki"
}
}
}
}
Running
# Start MCP server (stdio transport)
npm start
# Debug mode
LOG_LEVEL=debug npm start
Architecture
index.js → MCP server + tool registration + signal handlers
utils.js → WikiParser class (indexing, search, content extraction)
logger.js → Structured logging with configurable levels
test.js → 67 assertions covering all functionality
.env → WIKI_PATH, LOG_LEVEL configuration
WikiParser Class
- Constructor — validates file/directory source, loads markdown docs, builds heading index with byte positions
search(query, { fuzzy, limit })— find sections by keywordfindSimilar(key)— get similar keys via levenshtein distancegetSection(key)— retrieve content for a single sectiongetSections(keys)— batch retrieve multiple sectionsreload()— re-read file and rebuild indexclose()— stop file watcher
Key Compatibility
- Canonical keys in directory mode are prefixed by file slug (e.g.
user-wiki-approval-workflow-deep-dive) - Legacy heading-only keys are still accepted in
getMeta/getSectionfor backward compatibility - Ambiguous legacy keys require suffixed form (
-1,-2) to resolve deterministically - Search accepts legacy key queries but returns canonical keys
Custom Anchors
Headings can include a custom anchor using {#anchor-name} syntax at the end of the heading text:
## Backend Architecture {#portage-backend-architecture}
This creates a stable anchor that can be used in table of contents or direct links. The anchor is stripped from the displayed title but registered as a legacy alias for lookup.
Content Search
Search matches both heading text and section content. Results are prioritized:
- Header matches — exact or fuzzy match in heading text
- Content matches — keyword found within section body
This ensures the most relevant sections appear first.
Security
- Source validation (
.md/.markdownfile or directory) - Safe path resolution via
path.resolve+ fs stat checks - File size cap (50MB default)
- Key format validation (lowercase alphanumeric + hyphens)
- Batch request limits (max 20 keys)
Graceful Shutdown
Handles SIGINT, SIGTERM, uncaughtException, and unhandledRejection. Cleans up file watchers and exits cleanly.
Testing
npm test
Covers: initialization, path validation, directory mode, search (headers + content), fuzzy search, findSimilar, meta, sections, batch fetch, boundaries, reload, file watcher, key format validation, custom anchors, legacy key resolution, and cleanup.
CI/CD
GitHub Actions runs tests on Node 20 and 22 for every push/PR to main. See .github/workflows/ci.yml.
Установка Wiki
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/jommar/mcp-wikiFAQ
Wiki MCP бесплатный?
Да, Wiki MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Wiki?
Нет, Wiki работает без API-ключей и переменных окружения.
Wiki — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Wiki в Claude Desktop, Claude Code или Cursor?
Открой Wiki на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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