bc-cli 0.1.1

Python SDK and CLI for Microsoft Dynamics 365 Business Central APIs

bcli

A Python SDK and CLI for Microsoft Dynamics 365 Business Central APIs, with a built-in dlt source for ETL backup pipelines.

Status: Alpha (0.1.x). Public surface may change before 1.0. Track CHANGELOG.md for breaking changes. Independent project by @igor-ctrl — not affiliated with Microsoft.

SDK Quick Start

from bcli import AsyncBCClient

# Programmatic auth — no config files needed
async with AsyncBCClient(
    tenant_id="your-tenant-id",
    client_id="your-app-id",
    client_secret="your-secret",
    environment="Sandbox",
    company_id="your-company-id",
) as client:
    # Query with fluent OData builder
    customers = await client.query("customers").filter("city eq 'Chicago'").top(10).get()

    # Write with safety gate
    async with client.safe_write("Sandbox", "your-company-id") as sw:
        await sw.post("salesInvoices", body={"customerNumber": "10000"}, domain="finance")

Or use TOML profiles for the CLI and repeated SDK use:

from bcli import AsyncBCClient

async with AsyncBCClient(profile="production") as client:
    vendors = await client.query("vendors").select("displayName", "balance").get()

CLI Quick Start

# Install (PyPI distribution name is "bc-cli"; the binary is "bcli")
pip install bc-cli
# or
uv tool install bc-cli

# Configure (interactive — discovers companies automatically)
bcli config init

# Query standard APIs immediately
bcli get customers --top 5
bcli get vendors --filter "displayName eq 'Fabrikam'" --format json
bcli get salesInvoices --select number,totalAmountIncludingTax --top 10

# Import custom APIs from a Postman collection
bcli registry import --from-postman ./my_collection.json

# Query custom endpoints (route auto-resolved)
bcli get myCustomEntities --top 5

Features

• Works out of the box — 79 standard BC v2.0 entities (customers, vendors, items, GL entries, ...) with zero configuration beyond auth
• Custom API support — Import your custom API pages from Postman collections, JSON, or live $metadata
• Three-tier endpoint resolution — Custom registry -> standard v2.0 -> fuzzy suggestions
• Multi-company — Assign aliases to companies and query across all entities
• OData query builder — --filter, --select, --expand, --orderby, --top, --skip on every query
• Multiple output formats — table, JSON, CSV, NDJSON for pipeline use
• Secure auth — OS keychain integration (macOS Keychain, Windows Credential Manager), token caching, client credentials + device code flows
• Write safety — SafeContext gate prevents wrong-environment writes, enforces draft status on financial documents
• Programmatic auth — Pass credentials directly for MCP servers, Airflow DAGs, and containers (no config files required)
• Batch operations — Execute sequences of API calls from YAML files
• ETL pipeline — Built-in dlt source for incremental backup to Parquet / DuckDB / Iceberg / Postgres
• Structured logging — JSON request logs with correlation IDs for observability

ETL Pipeline (dlt source)

Sync BC data incrementally to any dlt-supported destination — useful as a Fivetran backup, a warehouse backfill tool, or a standalone ETL runner.

Standalone (any BC tenant, no bcli config required):

import dlt
from bcli.etl import business_central, EntityDef, fivetran_stamper

source = business_central(
    tenant_id="...", client_id="...", client_secret="...",
    environment="Production",
    entities=[
        EntityDef(name="customers"),
        EntityDef(name="vendors"),
    ],
    multi_company=True,             # iterate all BC companies
    stampers=[fivetran_stamper()],  # add _fivetran_synced / _fivetran_deleted
)

pipeline = dlt.pipeline(destination="duckdb", dataset_name="bc_raw")
pipeline.run(source)

Or use the bcli bridge (reuses your profile and custom-API registry):

# List entities the pipeline will sync
bcli --profile prod etl entities

# Incremental sync (uses systemModifiedAt cursor)
bcli --profile prod etl sync --destination filesystem

# Full refresh
bcli --profile prod etl sync --destination filesystem --full-refresh

# Schedule via cron (every 10 min incremental, nightly full refresh)
*/10 * * * * bcli --profile prod etl sync --destination filesystem
0 0 * * *    bcli --profile prod etl sync --destination filesystem --full-refresh

Installation

Requires Python 3.11+.

Heads-up on the package name. The PyPI name is bc-cli, not bcli. An unrelated 2018-era package squats on the bcli name (an "EC2 Cluster Creator" with no relation to this project) — pip install bcli will install that, not this. Always pip install bc-cli. Once installed, the import name (import bcli) and the CLI binary (bcli) work as documented.

# SDK only (for libraries, MCP servers, Airflow DAGs)
pip install bc-cli

# SDK + CLI
pip install "bc-cli[cli]"

# SDK + ETL (dlt source for backup pipelines)
pip install "bc-cli[etl]"

# Everything
pip install "bc-cli[cli,etl]"

# Via uv (recommended)
uv tool install bc-cli

# From source
git clone https://github.com/igor-ctrl/bcli.git
cd bcli
pip install -e ".[dev,etl]"

Documentation

Guide	Description
Getting Started	First-time setup, authentication, your first query
Configuration	Profiles, environments, config file format
Authentication	Client credentials, device code, OS keychain
Querying Data	GET, OData filters, pagination, output formats
Write Operations	POST, PATCH, DELETE
Custom APIs	Importing from Postman, JSON, or $metadata
Multi-Company	Company aliases, cross-entity queries
Batch Operations	YAML batch files
SDK Usage	Python SDK for developers and MCP servers
Command Reference	Complete CLI command reference
Contributing	Development setup, architecture, testing

License

Licensed under the Apache License, Version 2.0. See the NOTICE file for attribution requirements.