Developer Tools
bringyour.ai
Provides utilities for previewing and configuring AI tool integrations across multiple development platforms.
ENDPOINT 1
https://bringyour.ai/mcp
MCP server metadata
- Name
- bringyour
- Version
- 1.0.0
Known tools 7
preview_moveFree no-data preview for moving a harness between any two of the 13 supported tools (Claude Code, Cursor, Codex, OpenClaw, Aider, Continue, Cline, Goose, Zed, Roo Code, ChatGPT, Claude.
Inferred read-onlypreview_build_setupFree no-data preview for building a user's first setup in any of the 13 supported tools.
Inferred read-onlylist_productsList agent-readable Bring Your AI products and supported payment modes.
Potential side effectsquote_lifetime_licenseQuote a Bring Your AI lifetime license or Team Migration Pack in USD.
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.bringyour]
url = "https://bringyour.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"bringyour": {
"type": "http",
"url": "https://bringyour.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: bringyour
Remote MCP URL: https://bringyour.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": {
"bringyour": {
"url": "https://bringyour.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"bringyour": {
"type": "http",
"url": "https://bringyour.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "bringyour",
"transport": "streamable-http",
"url": "https://bringyour.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 bringyour.ai was fetched 2026-07-26T03:16:02.238Z and is being refreshed.
bringyour.ai 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.