SEC Filings and Earnings Call

The MCP server provides end-to-end workflows for SEC filings and earnings call transcripts—including ticker resolution, document retrieval, OCR, embedding, on-disk resource discovery, and semantic search—exposed via MCP and powered by the same olmOCR and embedding backends as the vLLM backends.

A Python-first toolkit for SEC filing ingestion, OCR-to-Markdown conversion, transcript collection, and retrieval acrosshybrid retrieval(dense + BM25) with reranking.

- Downloads SEC filings and stores filing metadata.
- Converts filing PDFs to Markdown via olmOCR.
- Chunks and indexes filings/transcripts in Chroma.
- Supports:

- Hybrid search(dense + BM25 reciprocal-rank-fusion + reranker).

- FastAPI (server.py).
- MCP server (mcp_server.py).

- finance_data/filings/: SEC download + helpers.
- finance_data/ocr/: olmOCR pipeline.
- finance_data/dataloader/: chunking, Chroma indexing, semantic + BM25 retrieval.
- finance_data/earnings_transcripts/: transcript fetch + persistence.
- finance_data/server_api/: API request/response models + batch helpers.
- server.py: FastAPI app.
- mcp_server.py: MCP entrypoint.
- docs/: setup and operations docs.

Use.envor environment variables. Common settings:

- SEC_API_ORGANIZATION,SEC_API_EMAIL
- OLMOCR_SERVER,OLMOCR_MODEL,OLMOCR_WORKSPACE
- EMBEDDING_SERVER,EMBEDDING_MODEL
- CHROMA_PERSIST_DIR
- MCP_HOST,MCP_PORT,MCP_NGROK_ALLOWED_HOSTS

Seefinance_data/settings.pyfor defaults.

make vllm-olmocr-serve make vllm-embd-serve make vllm-reranker-serve

uv run --group ocr-md --group mcp python mcp_server.py

- Hybrid (dense + BM25 + reranker):POST /vector_store/search_sec_filings

- Hybrid (dense + BM25 + reranker):POST /vector_store/search_transcripts

- Hybrid:search_sec_filings_tool,search_transcripts_tool

uv run python -m finance_data.filings.sec_data --ticker AMZN --year 2025 uv run python -m finance_data.ocr.olmocr_pipeline --pdf-dir sec_data/AMZN-2025

curl -s -X POST "http://127.0.0.1:8081/vector_store/embed_sec_filings" \ -H "Content-Type: application/json" \ -d '{"ticker":"AMZN","year":"2025","filing_type":"10-K","force":false}' curl -s -X POST "http://127.0.0.1:8081/vector_store/search_sec_filings" \ -H "Content-Type: application/json" \ -d '{"ticker":"AMZN","year":"2025","filing_type":"10-K","query":"operating income margin","top_k":5}'

uv run python -m finance_data.earnings_transcripts.transcripts AMZN 2025

curl -s -X POST "http://127.0.0.1:8081/vector_store/embed_transcripts" \ -H "Content-Type: application/json" \ -d '{"ticker":"AMZN","year":"2025","force":false}' curl -s -X POST "http://127.0.0.1:8081/vector_store/search_transcripts" \ -H "Content-Type: application/json" \ -d '{"ticker":"AMZN","year":"2025","query":"AWS revenue growth","top_k":5}'

- docs/README.md
- docs/setup-and-operations.md

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