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 CrewAI 12 tools — connect in under 2 minutes

Name: Quip
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Quip through Vinkius, pass the Edge URL in the `mcps` parameter and every Quip tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Quip Specialist",
    goal="Help users interact with Quip effectively",
    backstory=(
        "You are an expert at leveraging Quip tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Quip "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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High SecurityEnterprise-grade

IAMAccess control

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Ed25519Audit chain

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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.

When paired with CrewAI, Quip becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Quip tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Quip MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Quip

Why Use CrewAI with the Quip MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Quip through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Quip + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Quip for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Quip, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Quip tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Quip against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Quip MCP Tools for CrewAI (12)

These 12 tools become available when you connect Quip to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Quip + CrewAI FAQ

Common questions about integrating Quip MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.