$ loading_
Use MCP clients to fold, unfold, and classify κ-bands.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "barberhq-mcp" yet — see the docs or source repo.
Use barberhq-mcp to perform one fold operation on the current structure and return the result.
Calls the appropriate fold tool and returns the folded structure or result description.
Use barberhq-mcp to unfold the specified structure and explain the changes.
Calls the unfold tool and returns the unfolded structure with a change summary.
Use barberhq-mcp to classify these bands and provide the classification result.
Calls the band classification resource or tool and returns the κ-band classification result.
Researchers or developers working with foldkit-related structures in an MCP-capable client can call the folding capability directly. It is useful for structural transformations and result inspection.
When you need to review how a structure unfolds, this tool can perform the operation and show the changes. It is useful for debugging or understanding fold/unfold differences.
When analyzing objects related to the 7 κ-bands, you can use it for band classification. It fits workflows that need band-type labeling.
It is an MCP tool that exposes foldkit’s 7-prime spine, 7 κ-bands, and 6 fold operations to any MCP client. It supports folding, unfolding, and band classification.
According to the description, it provides folding, unfolding, and band classification, exposed as MCP tools and resources. See the source repository for further details.
The provided information only says it can be used in any MCP client, and does not list installation or key requirements. See the source repository.
Use foldkit’s fold tools and resources in any MCP client.
Expose foldkit's spines, κ-bands, and fold operations as native MCP tools and resources.
Expose foldkit spine, bands, and fold operations to MCP clients.
Provides AI clients with FoldKit's 7-prime spine, 7 κ-bands and 6 fold operations via MCP.
Access 7-prime spine, κ-bands, and fold operations from MCP clients.
Aggregate multiple MCP servers into a few fixed tools for AI apps.