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 Pydantic AI 12 tools — connect in under 2 minutes

Name: Quip
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Quip 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 Quip "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

Pydantic AI validates every Quip tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

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 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 Quip to Pydantic AI via MCP

Follow these steps to integrate the Quip 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 12 tools from Quip with type-safe schemas

Why Use Pydantic AI with the Quip MCP Server

Pydantic AI provides unique advantages when paired with Quip 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 Quip integration code

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

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

Quip + Pydantic AI Use Cases

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

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

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

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

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

Quip MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Quip to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Quip + Pydantic AI FAQ

Common questions about integrating Quip 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 Quip MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.