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Enables LLMs to process, validate, and analyze XBRL financial filings with tools for filing operations, fact extraction, taxonomy exploration, and SEC EDGAR int
Enables LLMs to process, validate, and analyze XBRL financial filings with tools for filing operations, fact extraction, taxonomy exploration, and SEC EDGAR integration.
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.
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).
pip install arelle-mcp
Add to claude_desktop_config.json:
{
"mcpServers": {
"arelle-mcp": {
"command": "arelle-mcp",
"env": {
"ARELLE_MCP_MAX_FILINGS": "5"
}
}
}
}
claude mcp add arelle-mcp -- arelle-mcp
{
"arelle-mcp": {
"command": "python",
"args": ["-m", "arelle_mcp"]
}
}
ARELLE_MCP_TRANSPORT=streamable-http ARELLE_MCP_PORT=8000 arelle-mcp
"Fetch Apple's latest 10-K and give me a financial summary"
The LLM will:
xbrl_fetch_sec_filing(ticker="AAPL", filing_type="10-K")xbrl_extract_factsxbrl_render_statement"Validate this SEC filing: https://www.sec.gov/Archives/edgar/data/..."
"Compare Apple's Q2 and Q3 2024 10-Q filings"
"Show me Microsoft's revenue history from SEC EDGAR"
The LLM calls xbrl_search_sec_concept(cik="789019", concept="Revenues") — no filing load needed.
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.
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
| 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 |
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
.xbrl, .xml).htm, .html) — SEC mandated since June 2021.zip)Apache 2.0 — same as Arelle itself.
Built by King Hippopotamus — with zero compromises.
Выполни в терминале:
claude mcp add arelle-mcp -- npx Безопасность
Низкий рискАвтоматическая эвристика по публичным данным — не гарантия безопасности.