Wrike MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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 6 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 and manage your enterprise workflows through natural conversation.
LlamaIndex agents combine Wrike tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- Task Monitoring — List and browse tasks across your entire account or filter by specific folder/project IDs
- Deep Task Analysis — Retrieve comprehensive metadata for specific tasks, including descriptions, assignees, and custom fields
- Project Navigation — Browse top-level project containers and monitor their current status and organization
- Folder Hierarchy — Explore your organizational structure to understand how tasks are grouped and categorized
- Team Discovery — List all users and contacts within your Wrike workspace to find IDs for task assignment
- Space Access — List all available work areas (spaces) to navigate your team's different departments or functions
- Workflow Automation — Quickly find unique task and folder IDs required for building automated project management flows
The Wrike MCP Server exposes 6 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.
How to Connect Wrike to LlamaIndex via MCP
Follow these steps to integrate the Wrike MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 6 tools from Wrike
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
Wrike MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect Wrike to LlamaIndex via MCP:
get_task_details
Retrieves comprehensive details for a specific Wrike task
list_wrike_contacts
Lists all users and contacts within the Wrike workspace
list_wrike_folders
Lists all folders and projects in the Wrike account
list_wrike_projects
Lists all active projects in the account
list_wrike_spaces
Lists all Wrike spaces available to the authenticated user
list_wrike_tasks
You can optionally provide a folder_id to scope the results. Lists tasks in the Wrike account, optionally filtered by folder
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 Wrike projects."
"Show me tasks in the 'Product Launch 2026' folder."
"Get full details for task ID 'IEA...'."
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.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Wrike 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 Wrike to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.