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AI & Machine Learning

promptbase.art

Access and manage AI prompt listings on PromptBase marketplace.

1 endpoint2 known toolsFirst detected September 9, 2026Last detected September 9, 2026

ENDPOINT 1

https://promptbase.art/mcp

No auth detected

MCP server metadata

Name
promptbase-marketplace
Version
1.0.0
Capabilities
tools

Known tools 2

list_prompts

List published AI prompt products on PromptBase.

Inferred read-only
get_prompt

Get full details of a single published prompt product by its slug (the URL path after /marketplace/).

Inferred read-only

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.promptbase-marketplace]
url = "https://promptbase.art/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "promptbase-marketplace": {
      "type": "http",
      "url": "https://promptbase.art/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: promptbase-marketplace
Remote MCP URL: https://promptbase.art/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": {
    "promptbase-marketplace": {
      "url": "https://promptbase.art/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "promptbase-marketplace": {
      "type": "http",
      "url": "https://promptbase.art/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "promptbase-marketplace",
  "transport": "streamable-http",
  "url": "https://promptbase.art/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.