ProjectManager MCP Server for LangChainGive LangChain instant access to 11 tools to Create Project, Create Project Task, Get Project Details, and more

Name: ProjectManager
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The ProjectManager MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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({
        "projectmanager": {
            "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 ProjectManager, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 ProjectManager MCP Server

Connect your ProjectManager.com account to any AI agent and simplify your project orchestration, task management, and resource allocation through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with ProjectManager through native MCP adapters. Connect 11 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 Management — List all projects, retrieve detailed status metadata, and monitor project health and progress
Task Control — Query tasks for any project, retrieve detailed descriptions, and create new tasks programmatically
Resource Intelligence — List team resources, including members and equipment, to choose the right context for each task
Time Tracking — Access a history of recorded timesheets to stay on top of your project billing and capacity
Direct Control — Manage your entire project portfolio directly from your agent without manual dashboard navigation

The ProjectManager MCP Server exposes 11 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 ProjectManager tools available for LangChain

When LangChain connects to ProjectManager through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-tracking, resource-allocation, timesheets, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create project on ProjectManager

Create a new project

create

Create project task on ProjectManager

Add a new task

get

Get project details on ProjectManager

Get details for a specific project

get

Get task details on ProjectManager

Get details for a specific task

list

List dashboards on ProjectManager

List all dashboards

list

List projects on ProjectManager

List ProjectManager projects

list

List tags on ProjectManager

List all project tags

list

List tasks on ProjectManager

Optionally filter by project ID. List tasks

list

List team resources on ProjectManager

List team resources

list

List timesheets on ProjectManager

List recorded timesheets

update

Update task on ProjectManager

Update an existing task

Connect ProjectManager to LangChain via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from ProjectManager via MCP

Why Use LangChain with the ProjectManager MCP Server

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

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

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

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

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

ProjectManager + LangChain Use Cases

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

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

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

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

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

Example Prompts for ProjectManager in LangChain

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

"List all active projects in ProjectManager."

"Show me all overdue tasks across all projects with their assignees and original deadlines."

"Create 3 new tasks for the Website Redesign project assigned to the design team due next Friday."

Troubleshooting ProjectManager MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

ProjectManager + LangChain FAQ

Common questions about integrating ProjectManager MCP Server with LangChain.

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.

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.