WPS 365 MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to WPS 365 through Vinkius, pass the Edge URL in the `mcps` parameter and every WPS 365 tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="WPS 365 Specialist",
goal="Help users interact with WPS 365 effectively",
backstory=(
"You are an expert at leveraging WPS 365 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 WPS 365 "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 WPS 365 MCP Server
Empower your AI agent to orchestrate your collaborative office work with WPS 365 (WPS Open Platform), the leading enterprise office suite. By connecting WPS 365 to your agent, you transform complex file management and document production into a natural conversation. Your agent can instantly list your files, create new collaborative documents, import external content, and even export your work into multiple formats without you ever needing to navigate the technical dashboard. Whether you are managing complex project reports or large-scale spreadsheets, your agent acts as a real-time productivity assistant, keeping your files organized and your team aligned.
When paired with CrewAI, WPS 365 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call WPS 365 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 Orchestration — List all accessible documents, sheets, and presentations across your WPS workspace.
- File Management — Create, retrieve, and manage file metadata with full support for collaborative workflows.
- Import & Export — Seamlessly import external content and export WPS documents into standard formats like docx and pdf.
- Folder Organization — Browse folder structures and manage file locations efficiently.
- Administrative Insights — List organization users and retrieve high-level information about your WPS infrastructure.
The WPS 365 MCP Server exposes 10 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 WPS 365 to CrewAI via MCP
Follow these steps to integrate the WPS 365 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 10 tools from WPS 365
Why Use CrewAI with the WPS 365 MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with WPS 365 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
WPS 365 + CrewAI Use Cases
Practical scenarios where CrewAI combined with the WPS 365 MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries WPS 365 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 WPS 365, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain WPS 365 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 WPS 365 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
WPS 365 MCP Tools for CrewAI (10)
These 10 tools become available when you connect WPS 365 to CrewAI via MCP:
create_file
Create a new document
export_file
Export a WPS file
get_file_info
Get file metadata
get_folder_content
Get folder contents
get_org_info
Get organization details
import_file
Import a document into WPS
list_collaborators
List file collaborators
list_files
List all WPS files
list_folders
List all folders
list_users
List organization users
Example Prompts for WPS 365 in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with WPS 365 immediately.
"List all my collaborative documents on WPS."
"Create a new spreadsheet titled 'Sales Forecast' in the 'Planning' folder."
"Export the document 'Company Policy' to PDF."
Troubleshooting WPS 365 MCP Server with CrewAI
Common issues when connecting WPS 365 to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
WPS 365 + CrewAI FAQ
Common questions about integrating WPS 365 MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect WPS 365 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 WPS 365 to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
