How to Use the Vercel MCP in Pydantic AI
Control Vercel deployments and infrastructure with Pydantic AI for type safety.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Vercel MCP to Pydantic AI
Create your Vinkius account to connect Vercel to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Manage projects lifecycle
The `list_projects` tool shows all existing Vercel projects in the account. If you need to add one, use `create_project`, passing both a name and a framework slug. Need to wipe a project? Use `delete_project`. Just remember that action is irreversible.
Check build status and aliases
`list_deployments` lists recent CI/CD builds for any given project. You can also view the specific routing mappings using `list_project_aliases`. Pulling detailed configuration data is straightforward with `get_project_details`.
Control live deployments
To kick off a build, use `trigger_github_deployment`, providing the necessary project name and Git ref. This forces Vercel to start compiling. If you need to stop an ongoing process, call `cancel_active_build`.
Set up Vercel MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"vercel-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Vercel tools.",
)
result = await agent.run("List recent Vercel transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vercel. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Vercel MCP in Pydantic AI
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