How do I find my Tally API Key?

Log in to your Tally account, go to **Settings** > **API**, and you will find your API Key there. Copy and paste it into the field below.

Can the agent list submissions for a specific form?

Yes. Use the `list_submissions` tool by providing the Form ID. Your agent will retrieve all entries and present them in a structured format.

Is it possible to manage multiple workspaces?

Yes. The `list_workspaces` tool allows you to see all workspaces you have access to, and you can filter forms by `workspaceId`.

Tally MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Tally
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Tally through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Tally "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Tally?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Tally MCP Server

Empower your AI agent to orchestrate your entire form ecosystem with Tally, the simplest way to create forms. By connecting Tally to your agent, you transform complex submission management into a natural conversation. Your agent can instantly list your forms, audit new submissions, and retrieve workspace details without you ever touching a dashboard. Whether you are running a simple survey or a complex lead generation process, your agent acts as a real-time form manager, ensuring your data is always accessible and organized.

Pydantic AI validates every Tally tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Form Auditing — List all forms in your account and retrieve detailed metadata for each, including workspace associations.
Submission Management — Query new and historical submissions, and retrieve specific entry details instantly.
Workspace Oversight — List all your Tally workspaces and monitor form distribution across your organization.
Data Governance — Autonomously delete submissions when they are no longer needed to maintain data privacy.
Account Auditing — Quickly retrieve account-wide information to maintain strict organizational control.

The Tally MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Tally to Pydantic AI via MCP

Follow these steps to integrate the Tally MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Tally with type-safe schemas

Why Use Pydantic AI with the Tally MCP Server

Pydantic AI provides unique advantages when paired with Tally through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Tally integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Tally connection logic from agent behavior for testable, maintainable code

Tally + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Tally MCP Server delivers measurable value.

Type-safe data pipelines: query Tally with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Tally tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Tally and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Tally responses and write comprehensive agent tests

Tally MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Tally to Pydantic AI via MCP:

delete_submission

Delete a Tally submission

get_form

Get details for a specific form

get_me

Get Tally account details

get_submission

Get details for a specific submission

get_workspace

Get details for a specific workspace

list_forms

Optional: filter by workspace ID. List Tally forms

list_submissions

List submissions for a Tally form

list_workspaces

List all Tally workspaces

Example Prompts for Tally in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Tally immediately.

"List all my Tally forms."

"Show me the last 5 submissions for form ID 12345."

"What workspaces do I have in Tally?"

Troubleshooting Tally MCP Server with Pydantic AI

Common issues when connecting Tally to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Tally + Pydantic AI FAQ

Common questions about integrating Tally MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Tally MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.