How to Use the TextP2P MCP in Pydantic AI
Ensure data correctness for campaigns with Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect TextP2P MCP to Pydantic AI
Create your Vinkius account to connect TextP2P to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Verify and create contact records.
The `add_textp2p_contact` tool requires structured input, making sure new contacts are stored correctly. It validates that the phone number format is right before creating a record. This level of type safety means your agent never gets confused by bad data entering the system.
Execute multi-stage messaging flows.
The `send_textp2p_sms` tool sends standard messages, but it guarantees that the target list ID is valid. If the input fails validation, the agent stops and tells you exactly why. You can chain this with `send_textp2p_mms` or `send_textp2p_rvm`, knowing every step passed its type check.
Check list status before sending.
Before sending, use `list_textp2p_lists` to verify the group name you want. The toolset enforces that this list actually exists and is readable by the agent. Similarly, calling `get_textp2p_balance` confirms your credit usage against a defined numerical model.
Set up TextP2P 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": {
"textp2p-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to TextP2P tools.",
)
result = await agent.run("List recent TextP2P 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 TextP2P. 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 TextP2P MCP in Pydantic AI
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