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Connects AI assistants to the TrustMRR API to browse, filter, and analyze startup listings by revenue, MRR, and growth metrics. It enables detailed retrieval of
Connects AI assistants to the TrustMRR API to browse, filter, and analyze startup listings by revenue, MRR, and growth metrics. It enables detailed retrieval of startup financials and pricing for comprehensive deal analysis.
MCP server for the TrustMRR API. Connects any MCP-compatible AI client to TrustMRR, giving your AI assistant access to startup listings, metrics, and deal analysis.
Sign in to TrustMRR and generate an API key from your account settings.
claude mcp add --transport http trustmrr https://trustmrr-mcp-production.up.railway.app/mcp \
--header "Authorization: Bearer YOUR_API_KEY"
Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP) and add a new server:
{
"servers": {
"trustmrr": {
"type": "http",
"url": "https://trustmrr-mcp-production.up.railway.app/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Add to your .vscode/mcp.json:
{
"servers": {
"trustmrr": {
"type": "http",
"url": "https://trustmrr-mcp-production.up.railway.app/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Create or edit ~/.gemini/settings.json:
{
"mcpServers": {
"trustmrr": {
"httpUrl": "https://trustmrr-mcp-production.up.railway.app/mcp",
"httpHeaders": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Add to your MCP settings:
{
"servers": {
"trustmrr": {
"type": "http",
"url": "https://trustmrr-mcp-production.up.railway.app/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
TrustMRR MCP server follows the standard MCP protocol and works with any client that supports:
MIT
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"trustmrr-mcp-server": {
"command": "npx",
"args": []
}
}
}