How to Use the Freesound MCP in Pydantic AI
Build type-safe audio agents. Connect Pydantic AI to Freesound to search, validate, and download sound assets with strict runtime checks.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Freesound MCP to Pydantic AI
Create your Vinkius account to connect Freesound 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.
Validate Freesound MCP Server metadata
The `get_sound` tool fetches the exact technical specifications for any audio file. Your agent pulls down the sample rate, bit depth, channels, and licensing restrictions before taking any action. Pydantic AI enforces strict schemas. If the API returns a missing duration or a malformed license field, your agent fails loudly. You get a clear validation error instead of passing bad data down your pipeline.
Search and filter with precision
The `search_sounds` tool queries the database using advanced Solr syntax. Your agent constructs precise filters to locate specific audio tags, formats, and durations. You value strict correctness. When you connect this via `MCPToolset`, your model-agnostic agent parses the search results directly into typed Python objects. It discards irrelevant matches and only processes files that fit your predefined structures.
Manage your audio uploads securely
The `upload_sound` tool pushes your local files to the platform. Your agent then immediately fires `describe_sound` to append the exact tags and descriptions required by your metadata schema. You never have to guess if a file went through. The agent calls `get_pending_uploads` to check the moderation status. Pydantic AI ensures every step of this workflow conforms to your exact types, dropping the execution if the platform returns unexpected states.
Set up Freesound 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": {
"freesound-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Freesound tools.",
)
result = await agent.run("List recent Freesound 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 Freesound. 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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Common questions about Freesound MCP in Pydantic AI
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