How do I securely obtain my Quip Access Token?

Sign in to your Quip account. Navigate to your API token generator page (usually at `platform.quip.com` or via Quip's Developer Settings). Generate a **Personal Access Token**, copy the string, and securely save it in the configuration fields below.

Can I provide a Quip document URL to my AI, or just the ID?

You can provide the standard URL. The agent is capable of recognizing the URL structure, extracting the alphanumeric `thread_id`, and performing the operation accurately.

Can it read embedded images or files inside the document?

The agent detects their existence by reading the raw structure and uses `list_blobs` to catalog attachments. However, downloading the actual files depends on your client's supported capabilities.

Is the edit operation destructive?

The `edit_document` function uses Quip's native append logic to add new HTML blocks at the end of the document, mitigating complete overwrites. Additionally, Quip maintains a full version history allowing rollbacks if necessary.

Quip MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Name: Quip
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Quip through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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 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="Quip Assistant",
            instructions=(
                "You help users interact with Quip. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Quip"
        )
        print(result.final_output)

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 Quip MCP Server

Integrate your Quip (Salesforce) account with any AI agent to bring your real-time collaborative documents, spreadsheets, and team discussions directly into your workflow.

The OpenAI Agents SDK auto-discovers all 12 tools from Quip through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Quip, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Document Search — Perform full-text searches across all your accessible Quip documents, or fetch recently accessed threads to resume your work.
Read & Retrieve — Navigate the folder hierarchy and retrieve full content, extracting documentation, plans, and metadata without leaving your IDE.
Review Conversations — Check document-attached messages to stay up-to-date on feedback and team discussions.
Edit & Append — Programmatically update documents by passing HTML payloads back to specific Quip threads.

The Quip MCP Server exposes 12 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 Quip to OpenAI Agents SDK via MCP

Follow these steps to integrate the Quip 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 12 tools from Quip

Why Use OpenAI Agents SDK with the Quip MCP Server

OpenAI Agents SDK provides unique advantages when paired with Quip 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

Quip + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Quip MCP Server delivers measurable value.

Automated workflows: build agents that query Quip, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Quip, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Quip tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Quip to resolve tickets, look up records, and update statuses without human intervention

Quip MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Quip to OpenAI Agents SDK via MCP:

edit_document

You must provide HTML content. Edits content in a Quip document

get_contacts

Lists all collaborators of the authenticated user

get_current_user

Retrieves the authenticated user profile

get_folder

Retrieves details for a specific Quip folder

get_folders

Provide a comma-separated list of IDs. Batch-fetches multiple Quip folders by their IDs

get_messages

Lists chat messages or comments attached to a thread

get_recent_threads

Retrieves recently viewed or edited documents

get_thread

Retrieves a single Quip document or thread by ID

get_threads

Provide a comma-separated list of IDs. Batch-fetches multiple Quip threads by their IDs

get_user

Retrieves profile information for a specific user

list_blobs

Lists embedded files and images in a thread

search_threads

Performs a full-text search across accessible Quip documents

Example Prompts for Quip in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Quip immediately.

"Search Quip for documents containing 'Q3 Roadmap'."

"What documents did I work on recently in Quip?"

"Add a new heading called 'Conclusion' and a paragraph 'All tests passed' to document ABC123DEF."

Troubleshooting Quip MCP Server with OpenAI Agents SDK

Common issues when connecting Quip to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Quip + OpenAI Agents SDK FAQ

Common questions about integrating Quip MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.