[ MCP SERVER SUMMARY ]
Prisma MCP server summary
Create and manage Prisma Postgres databases Connect Prisma through Bifrost MCP Gateway to centralize access control, virtual keys, and tool-call observability for your AI assistants.
| Property | Details |
|---|---|
| Company | Upstream maintainer |
| Connection type | Confirm upstream transport |
| Authentication | Varies by upstream server |
| Package or endpoint | See upstream documentation |
| Capabilities | Prisma tools over MCP, AI assistant connectivity, Governed tool access through Bifrost |
| Official documentation | Prisma MCP documentation |
Before you start
- Review the Prisma upstream documentation for its installation requirements
- Obtain any credentials required by the upstream service
- A running Bifrost MCP Gateway instance
What you can do with Prisma
- Create and manage Prisma Postgres databases
- Expose Prisma tools to Claude, Cursor, and other MCP clients through one endpoint
- Apply virtual keys, tool allowlists, and audit logging at the gateway
[ HOW TO CONNECT ]
Connect Prisma to Bifrost in three steps
Install Bifrost
Start the gateway locally or deploy in your VPC.
npx -y @maximhq/bifrost
Add Prisma in MCP Gateway
Open MCP Gateway in the Bifrost dashboard, click New MCP Server, and select the transport documented by the upstream server. Or register via the API below.
• Confirm the transport, command or endpoint, and authentication requirements in the Prisma upstream documentation.
• Replace every placeholder in the example before sending the request.
Point clients at Bifrost /mcp
Configure Claude Desktop, Cursor, or Claude Code to use your Bifrost endpoint with a virtual key instead of connecting directly to Prisma.
{
"mcpServers": {
"bifrost": {
"url": "http://localhost:8080/mcp",
"headers": {
"Authorization": "Bearer vk_your_virtual_key"
}
}
}
}[ EXAMPLE CONFIG ]
Register Prisma via API
Add this MCP client with a POST to /api/mcp/client. See Connecting to MCP Servers for full options.
# For a remote HTTP or SSE server:
curl -X POST http://localhost:8080/api/mcp/client \
-H "Content-Type: application/json" \
-d '{
"name": "prisma",
"connection_type": "<http|sse>",
"connection_string": "<upstream MCP endpoint>",
"tools_to_execute": ["*"]
}'
# For a local STDIO server:
curl -X POST http://localhost:8080/api/mcp/client \
-H "Content-Type: application/json" \
-d '{
"name": "prisma",
"connection_type": "stdio",
"stdio_config": {
"command": "<upstream command>",
"args": ["<arg>"]
},
"tools_to_execute": ["*"]
}'[ WHY BIFROST ]
Run Prisma through one governed gateway
Access control
Virtual keys, RBAC, and tool allowlists per team or agent.
Cost governance
Attribute MCP tool spend alongside LLM usage in one view.
Observability
Log every tool call with latency, server, and virtual key metadata.
Credential isolation
Upstream secrets stay in the gateway — not on every laptop.
[ FAQ ]
Common questions
What does the Prisma MCP server do?
Create and manage Prisma Postgres databases The exact tools available depend on the upstream server version and configuration.
How do I connect Prisma to Bifrost?
Check the upstream documentation to determine whether Prisma uses STDIO, Streamable HTTP, or SSE. Then add it as an MCP client in Bifrost using the corresponding command or endpoint.
Does Bifrost replace the Prisma MCP server?
No. Bifrost connects to Prisma as an upstream MCP client and adds a governed gateway between that server and your AI assistants.
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