Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

DataHub Agent Context

MCP tools for AI agents to search and query your DataHub metadata catalog — works with Claude, Cursor, Copilot, and any MCP-compatible AI assistant.

What you can do

  • Search datasets, dashboards, pipelines, and other data assets by name or description
  • Retrieve entity details — schema, lineage, ownership, tags, glossary terms, and more
  • Trace lineage upstream and downstream across your data assets
  • Mutate metadata — update descriptions, tags, owners, domains, and glossary terms
  • Build LangChain or Google ADK agents with pre-built tool bindings
  • Set up Snowflake AI agents with one CLI command

Installation

pip install datahub-agent-context

# With LangChain support
pip install "datahub-agent-context[langchain]"

Quickstart

LangChain agent

from datahub.sdk.main_client import DataHubClient
from datahub_agent_context.langchain_tools import build_langchain_tools

client = DataHubClient.from_env()

# Read-only tools (search, lineage, entity details)
tools = build_langchain_tools(client, include_mutations=False)

# Include write tools (tags, descriptions, owners, etc.)
tools = build_langchain_tools(client, include_mutations=True)

# DataHub Cloud: add Ask DataHub AI assistant
from datahub_agent_context.langchain_tools import build_langchain_cloud_tools
tools += build_langchain_cloud_tools(client, ask_datahub=True)

Snowflake AI agent setup

datahub agent create snowflake \
  --datahub-url https://your-datahub-instance \
  --datahub-token your-token

Available tools

Search — search(), search_documents(), grep_documents()

Entities — get_entities(), list_schema_fields()

Lineage — get_lineage(), get_lineage_paths_between()

Queries — get_dataset_queries()

Incidents — list_incidents()

Mutations — add_tags(), remove_tags(), update_description(), set_domains(), add_owners(), add_glossary_terms(), add_structured_properties(), save_document(), raise_incident(), resolve_incident()

Cloud-only — ask_datahub_chat() (DataHub Cloud AI assistant)

Metadata

Release files for datahub-agent-context 1.7.0.15rc3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for datahub-agent-context 1.7.0.15rc3
File Size Uploaded Provenance
datahub_agent_context-1.7.0.15rc3.tar.gz 111.4 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for datahub-agent-context 1.7.0.15rc3
File Interpreter ABI Platform
datahub_agent_context-1.7.0.15rc3-py3-none-any.whl Python 3 none any Details

Total release size: 263.1 kB

Release files / datahub_agent_context-1.7.0.15rc3.tar.gz

Download URL datahub_agent_context-1.7.0.15rc3.tar.gz
Size 111.4 kB
Tags Source
SHA-256 checksum
How to use checksums
1689407403ed1fc0fcaab7459af68c98409f5051876bad06c06a7e8093f4bd14
BLAKE2b-256 checksum
How to use checksums
e9f701abe1040a2bc8b920ace04f39f08a3174a9121ec884168f5e52c27a8e3b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.10.22

Release files / datahub_agent_context-1.7.0.15rc3-py3-none-any.whl

Download URL datahub_agent_context-1.7.0.15rc3-py3-none-any.whl
Size 151.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ab109a10cb7cf4a430e0d417b7afc217024919f55ddb2587720c3fe4b208a623
BLAKE2b-256 checksum
How to use checksums
b33c3c2269caa3d1cea6553fb5b6c54cb403f4e855e9db8e18b18968c7c7faf7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.10.22

Security for datahub-agent-context 1.7.0.15rc3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page