Skip to main content

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

Project description

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

Searchsearch(), search_documents(), grep_documents()

Entitiesget_entities(), list_schema_fields()

Lineageget_lineage(), get_lineage_paths_between()

Queriesget_dataset_queries()

Mutationsadd_tags(), remove_tags(), update_description(), set_domains(), add_owners(), add_glossary_terms(), add_structured_properties(), save_document()

Cloud-onlyask_datahub_chat() (DataHub Cloud AI assistant)

Links

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datahub_agent_context-1.6.0.14rc2.tar.gz (98.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

datahub_agent_context-1.6.0.14rc2-py3-none-any.whl (135.0 kB view details)

Uploaded Python 3

File details

Details for the file datahub_agent_context-1.6.0.14rc2.tar.gz.

File metadata

File hashes

Hashes for datahub_agent_context-1.6.0.14rc2.tar.gz
Algorithm Hash digest
SHA256 5843e40736ff5f7b0bdfe931e918831c9c4bb75bb680739cd0e0bf2453c02882
MD5 146a52053252e39838b15fd3d5f19214
BLAKE2b-256 75e7d3aba23cd932ea32568f7c0774992c88dbe5de5d8e350d020bddbc6dee7d

See more details on using hashes here.

File details

Details for the file datahub_agent_context-1.6.0.14rc2-py3-none-any.whl.

File metadata

File hashes

Hashes for datahub_agent_context-1.6.0.14rc2-py3-none-any.whl
Algorithm Hash digest
SHA256 5de36a3d0468f5f92314715926455c703f0a7af8f0cc1c9535f836cfd3e11957
MD5 9ff44f97393f879af063bd50d4f0033b
BLAKE2b-256 2a2ad8a6ab6c90d855d0c6e6970d379e6baacbc93f8094c8d0c7b042cc142428

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page