Wrike MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Add Task Comment, Create Folder, Create Task, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Wrike as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Wrike app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Wrike. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Wrike?"
)
print(response)
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 Wrike MCP Server
Connect your Wrike account to any AI agent to automate your complex project management workflows through natural conversation. Wrike provides a robust environment for enterprise-scale collaboration, task tracking, and resource management.
LlamaIndex agents combine Wrike tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Project Lifecycle — List, create, and update tasks with granular control over importance levels, statuses, and custom metadata.
- Hierarchical Organization — Navigate and manage the work using a structured system of folders and projects for different departments or clients.
- Team Collaboration — Retrieve discussion threads and post comments directly to task feeds to keep your team aligned programmatically.
- Workspace Monitoring — List contacts, track custom workflows, and manage task attachments to maintain a clear overview of operational progress.
- Operational Efficiency — Automate task assignments and progress tracking to reduce manual coordination effort.
The Wrike MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Wrike tools available for LlamaIndex
When LlamaIndex connects to Wrike through Vinkius, your AI agent gets direct access to every tool listed below — spanning enterprise-collaboration, task-organization, resource-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Post comment to task
Add new folder/project
Add new task
Get full task info
Get current user
List task workflows
List hierarchy
List task files
Get task discussion
Can filter by status (Active, Completed, Deferred, Cancelled). List project tasks
List workspace users
Modify task info
Connect Wrike to LlamaIndex via MCP
Follow these steps to wire Wrike into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Wrike MCP Server
LlamaIndex provides unique advantages when paired with Wrike through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Wrike tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Wrike tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Wrike, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Wrike tools were called, what data was returned, and how it influenced the final answer
Wrike + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Wrike MCP Server delivers measurable value.
Hybrid search: combine Wrike real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Wrike to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Wrike for fresh data
Analytical workflows: chain Wrike queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Wrike in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Wrike immediately.
"List all my active tasks due this week."
"Create a new high-priority task 'Draft Marketing Proposal' in project 'fld_123456'."
Troubleshooting Wrike MCP Server with LlamaIndex
Common issues when connecting Wrike to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWrike + LlamaIndex FAQ
Common questions about integrating Wrike MCP Server with LlamaIndex.