folio-mcp
MCP server for FOLIO, the Federated Open Legal Information Ontology. Makes the full ontology available to AI agents as searchable, browsable tools.
README
<!-- mcp-name: io.github.alea-institute/folio -->
folio-mcp
MCP server for FOLIO, the Federated Open Legal Information Ontology.
FOLIO is an open-source legal ontology with 18,000+ concepts covering areas of law, document types, legal entities, governmental bodies, and more. This MCP server makes the full ontology available to AI agents as searchable, browsable tools.
A public REST API is already available at https://folio.openlegalstandard.org/ with interactive Swagger documentation at /docs. This MCP server wraps the same ontology for native use in AI coding assistants and agent frameworks.
License: MIT (server code) / CC-BY 4.0 (ontology data)
Backends
folio-mcp supports two interchangeable backends:
| Mode | Startup | Dependencies | Use case |
|---|---|---|---|
| API (default) | Instant | httpx only |
Normal usage — calls the public FOLIO REST API |
Local (--local) |
~10s | folio-python[search] |
Offline use or when mounting inside folio-api |
API mode (default)
The server starts instantly and delegates all queries to the public API at https://folio.openlegalstandard.org/. No local ontology loading required.
Local mode
Loads the full FOLIO ontology in-process (~18k classes). Useful for offline work or when embedded in folio-api.
# Install with local dependencies
pip install folio-mcp[local]
# Run in local mode
folio-mcp --local
# Or via environment variable
FOLIO_MCP_LOCAL=1 folio-mcp
Custom API URL
Point to a different FOLIO API instance:
folio-mcp --api-url https://my-folio-instance.example.com
Installation
Claude Code
claude mcp add folio -- uvx folio-mcp
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"folio": {
"command": "uvx",
"args": ["folio-mcp"]
}
}
}
Cursor
Add to .cursor/mcp.json in your project:
{
"mcpServers": {
"folio": {
"command": "uvx",
"args": ["folio-mcp"]
}
}
}
VS Code
Add to your User Settings (JSON):
{
"mcp": {
"servers": {
"folio": {
"command": "uvx",
"args": ["folio-mcp"]
}
}
}
}
Remote (Streamable HTTP)
Connect to the hosted endpoint:
https://folio.openlegalstandard.org/mcp
Manual (pip)
pip install folio-mcp
folio-mcp
Tools (12)
| Tool | Description |
|---|---|
search_concepts(query, limit=10) |
Search concepts by label/name using fuzzy matching |
search_definitions(query, limit=10) |
Search concepts by definition text |
query_concepts(...) |
Advanced query with composable text and structural filters |
query_properties(...) |
Query OWL object properties by label, domain, range |
get_concept(iri) |
Get full details for a concept by IRI |
export_concept(iri, format) |
Export a concept as markdown, JSON-LD, or OWL XML |
list_branches() |
List all 24 taxonomy branches with concept counts |
get_taxonomy_branch(branch_name, max_depth) |
Get concepts in a taxonomy branch |
get_children(iri, max_depth) |
Get child concepts |
get_parents(iri, max_depth) |
Get parent concepts |
get_properties() |
Get all OWL object properties (relationships) |
find_connections(subject_iri, property_name, object_iri) |
Find semantic triples |
Browse operations return compact summaries (iri, label, definition). Use get_concept(iri) for full details including translations (31% of concepts, 10+ languages), preferred labels, external identifiers, and cross-references.
Prompts (3)
| Prompt | Description | Argument |
|---|---|---|
classify-document |
Classify a legal document against the FOLIO taxonomy | description |
identify-area-of-law |
Identify applicable areas of law for a situation | situation |
classify-entity |
Classify a legal entity (person, org, role) | entity |
Each prompt guides the LLM through the correct tool workflow and returns structured output (FOLIO label, IRI, definition, confidence, reasoning).
Resources (3)
| Resource URI | Description |
|---|---|
folio://branches |
Branch names with concept counts (564 bytes) |
folio://stats |
Ontology statistics — version, class/property counts, license |
folio://branch/{name} |
Top-level concepts in a specific branch (on-demand) |
Taxonomy Branches
The FOLIO ontology is organized into 24 top-level branches:
| Branch | Description |
|---|---|
actors_players |
Parties, roles, and participants in legal matters |
areas_of_law |
Legal practice areas and specializations |
asset_types |
Types of assets (real property, intellectual property, etc.) |
communication_modalities |
Communication channels and methods |
currencies |
Monetary currencies |
data_formats |
Data and file formats |
document_artifacts |
Legal documents, contracts, filings |
engagement_terms |
Terms of engagement and fee arrangements |
events |
Legal events and milestones |
forum_venues |
Courts, tribunals, and dispute resolution venues |
governmental_bodies |
Government agencies and departments |
industries |
Industry sectors and classifications |
languages |
Natural languages |
folio_types |
FOLIO internal type classifications |
legal_authorities |
Statutes, regulations, case law |
legal_entities |
Entity types (corporations, LLCs, trusts, etc.) |
locations |
Geographic locations and jurisdictions |
matter_narratives |
Matter descriptions and narratives |
matter_narrative_formats |
Formats for matter narratives |
objectives |
Legal objectives and goals |
services |
Legal services and service types |
standards_compatibilities |
Standards and compatibility mappings |
statuses |
Status values for matters, documents, etc. |
system_identifiers |
System and external identifiers |
Development
# Clone and install
git clone https://github.com/alea-institute/folio-mcp.git
cd folio-mcp
uv sync
# Run tests (requires folio-python for local backend tests)
uv sync --extra local
uv run pytest tests/
# Run with MCP Inspector
uv run mcp dev folio_mcp/server.py
# Run locally for Claude Code
claude mcp add folio-dev -- uv run --directory /path/to/folio-mcp folio-mcp
Links
- FOLIO Website
- FOLIO REST API — public API for direct HTTP access
- FOLIO API Docs (Swagger) — interactive API documentation
- folio-python — Python client library
- folio-api — REST API server
- ALEA Institute
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。