baic-dl-mcp
Related Servers
Alternatives to baic-dl-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceThis server enables agents to identify users and organizations, inspect versioned datasets and model lineage, start training jobs, run and read evaluations, verify deployments, and execute typed workflows through authenticated MCP endpoints.12Apache 2.0
- AlicenseAqualityAmaintenanceMCP server that gives agents the same interface as dashAI's GUI: explore datasets, list models, train, track jobs, and read metrics.10MIT
- AlicenseNot gradedqualityCmaintenanceMCP Server for interacting with Cube semantic layers that provides tools for querying and describing data from Cube deployments.15GPL 3.0
- AlicenseNot gradedqualityCmaintenanceMCP server for cinematic context platform, enabling video asset management, lineage tracing, and pipeline orchestration via DataHub.Apache 2.0
- AlicenseNot gradedqualityAmaintenanceMCP server that enables AI agents to search, fetch, and analyze a self-maintaining markdown knowledge base with provenance, drift detection, and canonical definitions.2MIT
- AlicenseNot gradedqualityDmaintenanceMCP server for integrating with Bika.ai platform, enabling AI assistants to perform CRUD operations on databases, manage attachments, and utilize automation and webhooks.1MIT
TDQS
Scored across 36 tools
Most tools have clearly distinct purposes. The only potential confusion is between import_source_metadata and import_and_wait, and among list_available_tables, list_kb_tables, and discover_tables, but their descriptions clarify the different stages. Overall, an agent can reliably select the right tool.
Tool names overwhelmingly follow a consistent verb_noun pattern with clear prefixes like list_, get_, create_, update_, delete_. The use of KB/KC abbreviations is consistent within entities. The only outlier is whoami, but it's a standard connectivity check and doesn't break the pattern.
36 tools is excessively high for a coherent MCP surface, exceeding the 25-tool threshold. The server bundles multiple subdomains (sources, destinations, KBs, KCs, pipelines, agents) into one toolset, which would be better split into focused servers.
The toolset covers the core ingestion-to-pipeline workflow well, including source listing, import, KB/KC management, and SQL generation. However, there are notable gaps: no update or delete for sources, no direct KB delete, no destination creation, and no pipeline execution/trigger tool. This creates dead ends for lifecycle management.