Business Data MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Business Data MCPshow me the revenue data for last quarter"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Business Data MCP
An evidence-first Model Context Protocol server for private business documents and structured datasets. The server preserves original files, deterministic extraction, normalized business concepts, and source lineage instead of reducing every upload to document-chat chunks.
See architecture, operations, security, and MCP client configuration.
Implemented capabilities include immutable/versioned ingestion for CSV, XLSX, TXT, DOCX and text-based PDF; Parquet-backed safe tabular queries; source lineage; bilingual semantic mapping suggestions with user confirmation; PostgreSQL full-text plus pgvector hybrid retrieval; OpenRouter summaries/embeddings/analysis with strict validation and usage tracking; OAuth/PKCE and scoped MCP credentials; Streamable HTTP and stdio MCP; and soft-delete/restore/retention workflows.
Workspace administrators can manage sources through the server-rendered UI at
/admin. The source list and detail pages report successful per-source MCP usage from
the audit trail; counting starts after the usage-tracking migration is deployed.
Containers
The production-oriented Compose stack runs the API, worker, scheduler, migrations, PostgreSQL with pgvector, Redis, MinIO, ClamAV, and Caddy. Upstream images are pinned by digest, application processes run as a fixed non-root user with a read-only root filesystem, and only Caddy publishes host ports.
See the operations guide for secret setup, startup, health checks, backups, image updates, and shutdown.
Related MCP server: FS-MCP Server
Development
Requirements: Python 3.12, PostgreSQL with pgvector, Redis, and S3-compatible object
storage. Docker Compose provides the infrastructure services.
python -m venv .venv
.venv/bin/pip install -e '.[dev]'
docker compose -f deploy/compose.yaml up -d postgres redis minio clamav
alembic upgrade head
business-data-apiRun validation with:
ruff check .
mypy src
pytestUploaded files are untrusted input. Do not expose development deployments to the internet or use the development secrets in production.
This server cannot be deployed
Maintenance
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