Can I create new tasks directly through my agent?

Yes. Use the `create_action` tool to generate new tasks in a specific workspace. You provide the title and workspace ID, and your agent will handle the backend orchestration to create the action instantly.

How do I find my Workspace ID?

Ask your agent to `list_workspaces`. It will return a list of all workspaces you have access to, along with their unique IDs, which are required for project and action operations.

Can I see the templates we have defined for repeatable workflows?

Absolutely. Use the `list_templates` tool to see all action templates in a workspace. This helps your agent understand the predefined workflows your team uses for consistent project delivery.

Hive (Project Management) MCP Server for LangChain 7 tools — connect in under 2 minutes

Name: Hive (Project Management)
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 7 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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({
        "hive-project-management": {
            "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 Hive (Project Management), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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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 Hive (Project Management) MCP Server

Connect your Hive account to any AI agent and take full control of your project management and team collaboration through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Hive (Project Management) through native MCP adapters. Connect 7 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

Workspace Management — List all available workspaces and navigate across different tenant environments effortlessly
Project Tracking — Analyze grouping schemas linking large initiatives and monitor the status of team projects directly from your agent
Action Items — Create and list operational tasks (actions), linking precise items and checking team assignments in real-time
Detailed Inspection — Retrieve exact metadata and structural details for specific action IDs to understand progress and blockers
Taxonomy & Labels — Discover discrete visual categorizations and taxonomy matrices used to organize your workspace items
Workflow Templates — Enumerate active repeatable workflows and action templates to maintain process consistency across your team

The Hive (Project Management) MCP Server exposes 7 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.

How to Connect Hive (Project Management) to LangChain via MCP

Follow these steps to integrate the Hive (Project Management) MCP Server with LangChain.

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 7 tools from Hive (Project Management) via MCP

Why Use LangChain with the Hive (Project Management) MCP Server

LangChain provides unique advantages when paired with Hive (Project Management) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Hive (Project Management) 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 Hive (Project Management) queries for multi-turn workflows

Hive (Project Management) + LangChain Use Cases

Practical scenarios where LangChain combined with the Hive (Project Management) MCP Server delivers measurable value.

RAG with live data: combine Hive (Project Management) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Hive (Project Management), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Hive (Project Management) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Hive (Project Management) tool call, measure latency, and optimize your agent's performance

Hive (Project Management) MCP Tools for LangChain (7)

These 7 tools become available when you connect Hive (Project Management) to LangChain via MCP:

create_action

Create action

get_action

Get action

list_actions

List actions

list_labels

List labels

list_projects

List projects

list_templates

List action templates

list_workspaces

List workspaces

Example Prompts for Hive (Project Management) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Hive (Project Management) immediately.

"List all projects in my 'Marketing' workspace (ID: ws-marketing)"

"Create a new action called 'Finalize Budget' in workspace 'ws-finance'"

"What are the action templates available in the 'Engineering' workspace?"

Troubleshooting Hive (Project Management) MCP Server with LangChain

Common issues when connecting Hive (Project Management) to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Hive (Project Management) + LangChain FAQ

Common questions about integrating Hive (Project Management) 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.