3,400+ MCP servers ready to use
Vinkius

Wrike MCP Server for LangChainGive LangChain instant access to 12 tools to Add Task Comment, Create Folder, Create Task, and more

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Wrike through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this App Connector for LangChain

The Wrike app connector for LangChain 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

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "wrike-alternative": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Wrike, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Wrike
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 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.

LangChain's ecosystem of 500+ components combines seamlessly with Wrike through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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.

add_task_comment

Post comment to task

create_folder

Add new folder/project

create_task

Add new task

get_task_details

Get full task info

get_user_profile

Get current user

list_custom_workflows

List task workflows

list_folders_and_projects

List hierarchy

list_task_attachments

List task files

list_task_comments

Get task discussion

list_tasks

Can filter by status (Active, Completed, Deferred, Cancelled). List project tasks

list_team_members

List workspace users

update_task

Modify task info

Connect Wrike to LangChain via MCP

Follow these steps to wire Wrike into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 12 tools from Wrike via MCP

Why Use LangChain with the Wrike MCP Server

LangChain provides unique advantages when paired with Wrike through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Wrike MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Wrike queries for multi-turn workflows

Wrike + LangChain Use Cases

Practical scenarios where LangChain combined with the Wrike MCP Server delivers measurable value.

01

RAG with live data: combine Wrike tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Wrike, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Wrike tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Wrike tool call, measure latency, and optimize your agent's performance

Example Prompts for Wrike in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Wrike immediately.

01

"List all my active tasks due this week."

02

"Create a new high-priority task 'Draft Marketing Proposal' in project 'fld_123456'."

Troubleshooting Wrike MCP Server with LangChain

Common issues when connecting Wrike to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Wrike + LangChain FAQ

Common questions about integrating Wrike MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.