arelle-mcp
Enables LLMs to process, validate, and analyze XBRL financial filings with tools for filing operations, fact extraction, taxonomy exploration, and SEC EDGAR integration.
README
arelle-mcp
The definitive MCP server for XBRL processing, validation, and financial analysis.
Built by King Hippopotamus.
Uses Arelle — the world's only free, open-source XBRL-certified processor — as its core engine. No other XBRL MCP server exists. This is the first.
What it does
arelle-mcp gives LLMs (Claude, GPT, etc.) full access to XBRL financial data through 17 tools:
| Category | Tools | Description |
|---|---|---|
| Filing Ops | xbrl_load_filing, xbrl_filing_summary, xbrl_compare_filings, xbrl_close_filing, xbrl_list_filings |
Load, inspect, compare, and manage XBRL/iXBRL filings |
| Validation | xbrl_validate |
Validate against SEC EFM, EU ESEF, UK HMRC, or generic rules |
| Fact Extraction | xbrl_extract_facts, xbrl_fact_details |
Query financial data points with filtering by concept, period, dimension, unit |
| Taxonomy | xbrl_browse_taxonomy, xbrl_concept_details |
Search and explore the taxonomy (standard + company extensions) |
| Relationships | xbrl_presentation_tree, xbrl_calculation_tree, xbrl_dimension_structure |
Navigate financial statement hierarchies, calculation trees, and dimensional breakdowns |
| SEC EDGAR | xbrl_fetch_sec_filing, xbrl_search_sec_concept, xbrl_company_facts |
Fetch SEC filings by ticker/CIK, search historical concept data |
| Rendering | xbrl_render_statement |
Reconstruct financial statements (Balance Sheet, Income Statement, Cash Flow) |
Plus 5 resources (reference data) and 5 prompt templates (guided analysis workflows).
Quick Start
Install
pip install arelle-mcp
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"arelle-mcp": {
"command": "arelle-mcp",
"env": {
"ARELLE_MCP_MAX_FILINGS": "5"
}
}
}
}
Claude Code
claude mcp add arelle-mcp -- arelle-mcp
Cursor / Other MCP Clients
{
"arelle-mcp": {
"command": "python",
"args": ["-m", "arelle_mcp"]
}
}
HTTP Mode (Remote)
ARELLE_MCP_TRANSPORT=streamable-http ARELLE_MCP_PORT=8000 arelle-mcp
Usage Examples
Analyze Apple's Latest 10-K
"Fetch Apple's latest 10-K and give me a financial summary"
The LLM will:
- Call
xbrl_fetch_sec_filing(ticker="AAPL", filing_type="10-K") - Extract key metrics with
xbrl_extract_facts - Render financial statements with
xbrl_render_statement
Validate a Filing
"Validate this SEC filing: https://www.sec.gov/Archives/edgar/data/..."
Compare Two Quarters
"Compare Apple's Q2 and Q3 2024 10-Q filings"
Historical Revenue Trend
"Show me Microsoft's revenue history from SEC EDGAR"
The LLM calls xbrl_search_sec_concept(cik="789019", concept="Revenues") — no filing load needed.
Architecture
Core Design Decisions
1. Single-Session Lock — Arelle uses global state that isn't thread-safe. All operations are serialized via asyncio.Lock and offloaded to a ThreadPoolExecutor to avoid blocking the MCP event loop.
2. LRU Filing Cache — Each loaded filing consumes 30-60MB. An OrderedDict-based LRU cache (default: 5 filings) automatically evicts the oldest filing when capacity is reached, calling model.close() to free memory.
3. Lazy Imports — Arelle is heavy (~200MB with taxonomies). All Arelle imports happen lazily inside tool functions, keeping server startup fast.
Project Structure
src/arelle_mcp/
├── server.py # FastMCP instance, lifespan, registration
├── arelle_wrapper.py # ArelleManager — session lifecycle, concurrency, caching
├── serializers.py # Arelle objects → JSON/markdown
├── constants.py # Arcroles, disclosure systems, SEC config
├── tools/
│ ├── filing.py # Load, summary, compare, close, list
│ ├── validation.py # Validate against disclosure systems
│ ├── facts.py # Extract and filter facts
│ ├── taxonomy.py # Browse concepts, get details
│ ├── relationships.py # Presentation, calculation, dimension trees
│ ├── edgar.py # SEC EDGAR API integration
│ └── rendering.py # Financial statement rendering
├── resources/ # Reference data (disclosure systems, common concepts)
└── prompts/ # Guided analysis workflow templates
Configuration
| Environment Variable | Default | Description |
|---|---|---|
ARELLE_MCP_MAX_FILINGS |
5 |
Max filings cached in memory |
ARELLE_MCP_CACHE_DIR |
(none) | Directory for taxonomy cache |
ARELLE_MCP_TRANSPORT |
stdio |
Transport: stdio or streamable-http |
ARELLE_MCP_PORT |
8000 |
HTTP port (when using streamable-http) |
ARELLE_MCP_LOG_LEVEL |
INFO |
Logging level |
Development
git clone https://github.com/TheKingHippopotamus/Arelle-MCP.git
cd Arelle-MCP
pip install -e ".[dev]"
# Run tests
pytest
# Type check
mypy src/arelle_mcp
# Lint
ruff check src/
# Test with MCP Inspector
npx @modelcontextprotocol/inspector arelle-mcp
Supported File Formats
- XBRL Instance Documents (
.xbrl,.xml) - Inline XBRL (
.htm,.html) — SEC mandated since June 2021 - iXBRL Document Sets
- ZIP archives containing XBRL
- SEC EDGAR URLs (auto-fetched)
- Taxonomy Packages (
.zip)
Supported Disclosure Systems
- SEC EFM — US Securities and Exchange Commission
- ESEF — European Single Electronic Format (EU/ESMA)
- HMRC — UK HM Revenue & Customs
- GFM — Global Filing Manual
License
Apache 2.0 — same as Arelle itself.
Built by King Hippopotamus — with zero compromises.
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