mcpField
H
Hugging Bay

Hugging Bay

Remote
huggingbay.xyzAI & Agents

About Hugging Bay

Open model files with recorded SHA-256 and licence labels. Ask for what's missing.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://huggingbay.xyz/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Packages
npmhugging-bay-mcp0.1.11

Tools

28
ParameterTypeRequiredDescription
qstringNoText to search for.
sortenumNosort; value for this operation.best | ready | mirrorable | trust | updated | downloads | stars | demand | mirrors | name | size | license
taskstringNoTask the model or service should perform.
typestringNotype; value for this operation.
limitnumberNoMaximum number of returned rows; use the stated bounds.
cursorstringNoPage cursor returned by the previous read.
detailenumNoSummary rows by default; full returns detailed rows. Large results include bounded previews and detail links.summary | full
formatstringNoformat; value for this operation.
sourcestringNoSource provider name.
explainenumNoexplain; value for this operation.1 | true
hostingstringNohosting; value for this operation.
licensestringNolicense; value for this operation.
semanticenumNosemantic; value for this operation.1 | true
frameworkstringNoframework; value for this operation.
commercialenumNoTrue to require recorded permission for commercial use.1 | true
reviewStatusenumNoreview Status; value for this operation.first-review | needs-evidence | reviewed | verified-run | benchmark

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.