$ loading_
Connect to DataHub catalogs to find datasets, trace lineage, and read metadata.
Overall this appears to be an official Registry, open-source MCP tool with recent maintenance and no declared secrets or remote endpoints, which lowers baseline risk. It does execute code locally, so local permissions and file access warrant caution, but no specific high-risk red flags are evident.
No secrets, tokens, or environment variables are declared, so no credential collection or misuse risk is indicated in the provided material.
No remote host/endpoints are declared, and the material does not show any explicit path for external data egress.
The checks indicate it executes code, meaning it can run processes/code locally; this is a normal MCP capability but warrants attention to execution privileges and isolation.
The description says it can discover datasets, explore lineage, and access metadata, so it will touch catalog-related data; there is no clear evidence of broader local file write or overbroad access.
The source is an official Registry entry with an open-source repository and updates within the past year, making it auditable and relatively trustworthy; missing license and 0 stars are noted but are not specific red flags.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "io.github.txn2/mcp-datahub" yet — see the docs or source repo.
Search, inspect, trace, and read business data assets across internal platforms.
Query and retrieve data across GitHub, Neo4j, PostgreSQL, and Milvus.
Discover, browse, and install MCP servers from a desktop app.
Unifies MCP clients with tool routing, memory, and automation flows.
Connect to and query multiple relational databases with a lightweight MCP server.
Connect once to access tools aggregated from many upstream MCP servers.