tei-mcp
Helps AI agents read and write valid TEI XML. Element lookup, attribute resolution, content model expansion, nesting validation, document validation, and ODD customisation.
README
tei-mcp
<p align="center"> <img src="banner.png" alt="tei-mcp — TEI P5 for AI agents" width="600"> </p>
<p align="center"> <a href="https://doi.org/10.5281/zenodo.19039570"><img src="https://img.shields.io/badge/DOI-10.5281%2Fzenodo.19039570-blue" alt="DOI"></a> <a href="https://pypi.org/project/tei-mcp/"><img src="https://img.shields.io/pypi/v/tei-mcp" alt="PyPI version"></a> <a href="https://github.com/Pantagrueliste/tei-mcp/blob/master/LICENSE"><img src="https://img.shields.io/pypi/l/tei-mcp" alt="License"></a> <a href="https://modelcontextprotocol.io"><img src="https://img.shields.io/badge/MCP-compatible-green" alt="MCP compatible"></a> <a href="https://tei-c.org/guidelines/"><img src="https://img.shields.io/badge/TEI-P5-orange" alt="TEI P5"></a> </p>
An MCP server that helps AI agents read and write valid TEI XML. It parses the TEI P5 specification and exposes 16 tools for element lookup, attribute resolution, content model expansion, nesting validation, document validation, and ODD customisation.
Features
- Element, class, macro, and module lookup with case-insensitive matching and typo suggestions
- Attribute resolution across the full TEI class hierarchy (local + inherited)
- Content model expansion into structured trees with class and macro resolution
- Nesting validation (direct parent-child and recursive reachability with path tracking)
- Document validation against TEI P5: content models, attributes, closed value lists, reference integrity, deprecation warnings
- Single-element validation for incremental editing workflows
- ODD customisation support: load a project ODD to constrain the schema (moduleRef filtering, elementSpec delete/change, attDef modifications)
- Regex search across all entity types (elements, classes, macros, modules)
- Deprecation awareness with validUntil dates and replacement suggestions
- Attribute suggestion by intent description (keyword matching against attribute descriptions)
Requirements
- Python 3.10+
- uv (recommended) or pip
Installation
The quickest way is via uvx, which fetches and runs the server automatically:
uvx tei-mcp
Or install from PyPI:
pip install tei-mcp
Or clone and install from source:
git clone https://github.com/Pantagrueliste/tei-mcp.git
cd tei-mcp
uv sync
On first run, the server downloads p5subset.xml from the TEI website (~5 MB) and caches it locally.
Usage
tei-mcp works with any MCP-compatible client. Add the following to your client's MCP server configuration:
{
"mcpServers": {
"tei": {
"command": "uvx",
"args": ["tei-mcp"]
}
}
}
Where this file lives depends on your client:
| Client | Configuration file |
|---|---|
| Claude Desktop | ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) |
| Claude Code | .mcp.json in your project directory |
| Cursor | .cursor/mcp.json in your project directory |
| Windsurf | ~/.codeium/windsurf/mcp_config.json |
| Other clients | Consult your client's MCP documentation |
Standalone
uvx tei-mcp
The server communicates over stdio using the MCP protocol.
Tools
| Tool | Description |
|---|---|
lookup_element |
Look up an element by name (e.g., persName) |
lookup_class |
Look up a class by name (e.g., att.global) |
lookup_macro |
Look up a macro by name (e.g., macro.paraContent) |
list_module_elements |
List all elements in a module (e.g., namesdates) |
search |
Regex search across all TEI entities |
list_attributes |
Resolve all attributes for an element (local + inherited) |
class_membership_chain |
Show the full class hierarchy chain |
expand_content_model |
Expand content model into a structured tree |
valid_children |
List all valid direct children of an element |
check_nesting |
Check if an element can appear inside another |
check_nesting_batch |
Check multiple nesting pairs in one call |
suggest_attribute |
Find relevant attributes by intent description |
validate_document |
Validate a TEI XML file against the spec |
validate_element |
Validate a single element in context |
load_customisation |
Load an ODD customisation file |
unload_customisation |
Clear the loaded customisation |
Most tools accept use_odd=True to query the customised schema instead of the full TEI P5.
ODD Customisation
Load a project-specific ODD file to constrain the schema:
1. Call load_customisation("/path/to/my-project.odd")
2. Use use_odd=True on subsequent tool calls
3. Call unload_customisation() to revert to the full spec
Supported ODD features:
moduleRefwithinclude/exceptfilteringelementSpec mode="delete"to remove elementselementSpec mode="change"withattDefmodifications (delete, change, add)- Closed/semi value list restrictions
Environment Variables
| Variable | Default | Description |
|---|---|---|
TEI_ODD_PATH |
— | Path to a local p5subset.xml (skips download) |
TEI_ODD_URL |
TEI-C GitHub URL | Custom URL for the ODD file |
Development
# Install dev dependencies
uv sync
# Run tests
uv run pytest
# Run tests with coverage info
uv run pytest -v
License
MIT
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。