How to Use the Eden AI Alternative MCP in Pydantic AI
Run 100+ models and specialized tools with strict runtime type-safety using Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Eden AI Alternative MCP to Pydantic AI
Create your Vinkius account to connect Eden AI Alternative 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.
Route LLMs with strict Pydantic AI validation
The `chat_completions` tool routes your prompts to dozens of model providers through a single interface. Pydantic AI validates the returned JSON structure at runtime, preventing silent failures or malformed outputs from reaching your application. To maintain continuity across these models, the `create_stateful_response` tool manages conversation history server-side. This keeps your agent's context consistent even when switching providers mid-chat.
Execute OCR and translation with this MCP Server
The `universal_ai_sync` tool gives your agent instant access to OCR, translation, and image generation. Every response is parsed and validated against your defined schemas before your agent executes the next step. When handling heavy media files, the `universal_ai_async` tool starts background processing. Your agent queries `get_async_job` to fetch the validated results once the processing completes.
Generate embeddings and manage document storage
The `create_embedding` tool turns text into numerical vectors for semantic search. You can verify which models are available by calling `list_embedding_models` directly from your agent code. Document handling is managed via `upload_file` and `delete_files` to control your storage footprint. You can query `list_files` to keep track of all active documents.
Set up Eden AI Alternative 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": {
"eden-ai-alternative-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Eden AI Alternative tools.",
)
result = await agent.run("List recent Eden AI Alternative 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 Eden AI. 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
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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 Eden AI Alternative MCP in Pydantic AI
Use it with your favorite AI tools
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Start using the Eden AI Alternative MCP today
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