API Tools
bopen.ai
Provides tools to list, search, and retrieve bOpen.ai marketplace plugins, skills, and agents.
ENDPOINT 1
https://bopen.ai/mcp
MCP server metadata
- Name
- bopen-ai
- Version
- 1.0.0
Known tools 7
list_marketplaceList every plugin, agent, and skill available in the bOpen.ai marketplace.
Inferred read-onlyget_pluginFetch a single bOpen.ai marketplace plugin by name, including its agents, skills, and install string.
Inferred read-onlysearch_marketplaceSearch the bOpen.ai marketplace snapshot for matching plugins, skills, and agents.
Inferred read-onlyget_agentFetch skills and metadata for a single bOpen.ai agent by its id (plugin:agent-name).
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.bopen-ai]
url = "https://bopen.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"bopen-ai": {
"type": "http",
"url": "https://bopen.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: bopen-ai
Remote MCP URL: https://bopen.ai/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": {
"bopen-ai": {
"url": "https://bopen.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"bopen-ai": {
"type": "http",
"url": "https://bopen.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "bopen-ai",
"transport": "streamable-http",
"url": "https://bopen.ai/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 bopen.ai was fetched 2026-10-03T13:44:10.566Z.
bopen.ai is assessed as Trusted: Domain has an established technology history spanning over a year.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.