How to Use the Upstash MCP in Pydantic AI
Type-safe Redis operations for guaranteed correctness with Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Upstash MCP to Pydantic AI
Create your Vinkius account to connect Upstash 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.
Verify and retrieve string data
Your agent uses the `get` tool to fetch a value from Upstash Redis. Because of Pydantic's validation, if the key is missing, you get an explicit null response. The primary write operation remains simple: using `set` guarantees that the data written is what your system expects.
Manage complex hash records
The `hgetall` tool pulls every field and value from a Redis hash into an object. Pydantic validates this structure, so you never get unexpected fields. Similarly, use `hset` to reliably update specific fields in existing hashes or create new ones.
Track metrics with reliable counters
The `incr` tool handles numeric increases. It initializes the key to 0 if it doesn't exist, so you can count right away without worrying about setup. For tracking decreases, `decr` returns the new value after decrementing, keeping your resource counts accurate.
Set up Upstash 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": {
"upstash-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Upstash tools.",
)
result = await agent.run("List recent Upstash 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 Upstash. 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.
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Built-in savings
60%
lower AI costs
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Common questions about Upstash MCP in Pydantic AI
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