$ loading_
Connects LLMs to Apache Atlas for search, lineage tracing, and metadata management.
The materials describe an open-source MCP tool for Apache Atlas with no declared secret requirement and read-only behavior by default. No concrete high-risk red flags are evident, but local execution capability, access to Atlas metadata, and unknown maintenance maturity warrant cautious use.
The materials explicitly state that no keys or environment variables are required. No API key, token, or other sensitive credential requirement is described, so credential exposure appears low based on the provided facts.
The description says the tool connects to Apache Atlas for search, lineage, and metadata management, indicating ordinary network communication with an Atlas service. However, no specific remote host is provided and there is no evidence of data exfiltration to unrelated third-party endpoints.
The objective checks mark this tool as executes-code, which means it runs code/processes locally. This is a normal MCP capability, and the materials do not show requests for unusual system privileges or actions unrelated to its stated purpose.
The tool targets Apache Atlas metadata, is read-only by default, and optionally supports creating entities and classifications. This means it can at least read Atlas metadata and, when write mode is enabled, modify related resources. The materials do not state that it reads or writes local files, and no overbroad access beyond the stated function is evident.
The source is a third-party registry, but the repository is public/auditable and MIT-licensed, which are positive risk-reducing factors. However, community adoption is currently 0 stars and maintenance status is unknown, so maturity and ongoing upkeep are unclear and warrant caution from a supply-chain perspective.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "apache-atlas-mcp" yet — see the docs or source repo.
Search Apache Atlas for datasets and tables related to "user behavior analytics", and organize results by name, type, and tags.
Returns a list of matching assets with brief metadata summaries.
Trace the upstream and downstream lineage of the orders table, and explain its source dependencies and impacted downstream objects.
Outputs a clear lineage chain and impact analysis.
In write mode, create the "PII" classification for the customer_profile asset and report the result.
Confirms the classification was created and attached to the target asset.
Connect coding agents to Atlas for context retrieval and work capture.
Manage projects, tasks, and knowledge in ATLAS with deep research support.
Use natural language to search and manage Jira and Confluence content.
Connect Confluence and Jira for project context, issue management, and documentation.
Let AI access and operate AT Protocol and Bluesky through natural language.
Use natural language to manage Jira and Confluence work and collaboration