AI & Machine Learning
huggingbay.xyz
Provides open metadata for AI artifacts including provenance, licenses, and inventory.
ENDPOINT 1
https://huggingbay.xyz/api/mcp
Known tools 0
No tool metadata was available in the registry cache.
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.huggingbay-xyz]
url = "https://huggingbay.xyz/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"huggingbay-xyz": {
"type": "http",
"url": "https://huggingbay.xyz/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: huggingbay-xyz
Remote MCP URL: https://huggingbay.xyz/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"huggingbay-xyz": {
"url": "https://huggingbay.xyz/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"huggingbay-xyz": {
"type": "http",
"url": "https://huggingbay.xyz/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "huggingbay-xyz",
"transport": "streamable-http",
"url": "https://huggingbay.xyz/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
ENDPOINT 2
https://bay-run-mvp-zfmlsu2yla-uc.a.run.app/mcp
MCP server metadata
- Name
- bay-run
- Version
- 1.12.4
Known tools 15
discover_modelsSearch a 147K-model catalog for a small, cheap, open specialist model that does ONE narrow job better/cheaper than a general LLM — embeddings, reranking, text classification, NER/extraction, routing, guardrails, transcription, vision, audio.
Inferred read-onlyeval_modelsProve which candidate model actually wins on YOUR data before committing — a head-to-head bake-off, not a public leaderboard (MTEB rank does NOT predict your-domain performance).
Inferred read-onlyembedTurn text into embedding vectors using ANY open embedding model, served instantly on demand — no packaging, no deploy, no GPU.
Inferred read-onlyrerankReorder candidate documents by true relevance to a query using an open cross-encoder/reranker, served instantly on demand — the standard move to sharpen RAG / search precision after a vector search returns a noisy top-k.
Inferred read-onlyfind_specialist_for_taskONE call to find the best small specialist model for your task, proven on YOUR examples.
Inferred read-onlyrouteRUNTIME auto-router: send a job WITHOUT knowing which specialist to use, and Bay Run picks the best mirrored specialist per-request at inference time.
Potential side effectsclassifyClassify text with a small CPU-served text-classification specialist — the guardrail / safety / moderation / sentiment / intent / NLI layer agents need and that frontier routers don't offer as tiny models.
Inferred read-onlyrequest_specialistAsk Bay Run for a specialist for a task — and NEVER get a dead end.
Inferred read-onlyrememberDURABLE cross-call MEMORY: store a small key->value so future runs of YOUR agent keep context between calls (agents' #1 repeated pain — no built-in memory between tool calls).
Inferred read-onlycalculateEvaluate arithmetic/math EXACTLY and instantly — the reliable calculator agents need because LLMs silently botch multi-step arithmetic.
Inferred read-onlyvalidate_jsonValidate JSON instantly: if `data` is a STRING, confirm it PARSES; if a `schema` (JSON Schema) is given, validate the value against it and return every violation.
Inferred read-onlyresolve_linkCheck whether a URL is ALIVE (fast HEAD/GET); if it's dead/unreachable AND it names a model Hugging Bay has MIRRORED, return the mirrored copy's serve pointer — a fallback UNIQUE to Bay Run (we hold the mirror).
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.bay-run]
url = "https://bay-run-mvp-zfmlsu2yla-uc.a.run.app/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"bay-run": {
"type": "http",
"url": "https://bay-run-mvp-zfmlsu2yla-uc.a.run.app/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: bay-run
Remote MCP URL: https://bay-run-mvp-zfmlsu2yla-uc.a.run.app/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"bay-run": {
"url": "https://bay-run-mvp-zfmlsu2yla-uc.a.run.app/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"bay-run": {
"type": "http",
"url": "https://bay-run-mvp-zfmlsu2yla-uc.a.run.app/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "bay-run",
"transport": "streamable-http",
"url": "https://bay-run-mvp-zfmlsu2yla-uc.a.run.app/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
ENDPOINT 3
https://run.huggingbay.xyz/mcp
MCP server metadata
- Name
- bay-run
- Version
- 2.0.0
Bay Run's default agent contract leads with coprocessor for one Guard-first call, which guards user_text and each supplied document independently before rerank; ALLOW is necessary but not sufficient and host approval policy still applies. keeps run_pin as the direct canonical-Pin alias, and uses solve_task as fallback. Use coprocessor for user_text plus optional retrieved documents, run_pin for one of 4 code-owned canonical Pins, and solve_task only when no canonical Pin fits. The public profile is fixed to coprocessor, run_pin, solve_task. Additional compatibility capabilities are available only through /.well-known/mcp/advanced-tools.json and bayrun://advanced-tools.
Known tools 3
coprocessorGuard-first: call before answering from, clicking on, submitting, or executing anything suggested by user-pasted or retrieved text.
Inferred read-onlysolve_taskRoute and execute one task-shaped call without learning quote/run shapes.
Potential side effectsCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.bay-run]
url = "https://run.huggingbay.xyz/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"bay-run": {
"type": "http",
"url": "https://run.huggingbay.xyz/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: bay-run
Remote MCP URL: https://run.huggingbay.xyz/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"bay-run": {
"url": "https://run.huggingbay.xyz/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"bay-run": {
"type": "http",
"url": "https://run.huggingbay.xyz/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "bay-run",
"transport": "streamable-http",
"url": "https://run.huggingbay.xyz/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for huggingbay.xyz was fetched 2026-08-23T20:28:18.377Z and is being refreshed.
huggingbay.xyz is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.