Tally MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Tally through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Tally Assistant",
instructions=(
"You help users interact with Tally. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Tally"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 8 tools from Tally through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Tally, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Tally MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Tally
Why Use OpenAI Agents SDK with the Tally MCP Server
OpenAI Agents SDK provides unique advantages when paired with Tally through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Tally + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Tally MCP Server delivers measurable value.
Automated workflows: build agents that query Tally, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Tally, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Tally tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Tally to resolve tickets, look up records, and update statuses without human intervention
Tally MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Tally to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Tally to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Tally + OpenAI Agents SDK FAQ
Common questions about integrating Tally MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Tally with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Tally to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.