Can my AI agent find a specific task by its human-readable code like WEB-42?

Yes! Use the `get_task_by_code` tool with the task code (e.g., WEB-42). Your agent will return the full task details including description, assignees, workflow status, labels, sprint association, time estimates, and checklist progress — in seconds.

I want to quickly see what I need to work on today. Can the agent help?

Absolutely. Use `my_today_tasks` to see everything due today, or `my_tasks` for your full assignment list across all workspaces. The agent returns task titles, project context, due dates, and current workflow status — your daily standup briefing in one command.

Can the agent manage task assignments and checklists too?

Yes. Use `assign_member` and `unassign_member` to manage task assignments by username. For checklists, use `create_checklist_item` to add items (including nested sub-items via parent_id), and `toggle_checklist_item` to mark them done. The complete task lifecycle is covered — from creation to completion.

GitScrum Tasks MCP Server for LangChain 28 tools — connect in under 2 minutes

Name: GitScrum Tasks
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 28 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect GitScrum Tasks 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({
        "gitscrum-tasks": {
            "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 GitScrum Tasks, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About GitScrum Tasks MCP Server

What you can do

Full task lifecycle — create, update, delete, and toggle completion on tasks with rich metadata including types, effort levels, and dates
Advanced filtering — query tasks by status, sprint, user story, assignee, label, type, effort, workflow column, blocker flag, and date ranges
Subtask management — list, link, unlink subtasks and discover related tasks across your project
Checklists — add checklist items with sub-items and toggle completion for granular progress tracking
Team coordination — assign and unassign members, duplicate tasks, move between projects, and set story points
Comments — list, create, update, and delete task comments for rich collaboration context

LangChain's ecosystem of 500+ components combines seamlessly with GitScrum Tasks through native MCP adapters. Connect 28 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.

The GitScrum Tasks MCP Server exposes 28 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 GitScrum Tasks to LangChain via MCP

Follow these steps to integrate the GitScrum Tasks 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 28 tools from GitScrum Tasks via MCP

Why Use LangChain with the GitScrum Tasks MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine GitScrum Tasks 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 GitScrum Tasks queries for multi-turn workflows

GitScrum Tasks + LangChain Use Cases

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

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

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

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

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

GitScrum Tasks MCP Tools for LangChain (28)

These 28 tools become available when you connect GitScrum Tasks to LangChain via MCP:

assign_member

Assign a user to a task

create_checklist_item

Use parent_id to create sub-items. Add a checklist item to a task

create_comment

Supports rich text content. Add a comment to a task

create_task

Create a new task

create_task_type

g., Chore, Tech Debt) with a hex color code. Create a new task type

delete_comment

Delete a comment

delete_task

This action cannot be undone. Delete a task permanently

duplicate_task

Duplicate a task

get_task

Get task details by UUID

get_task_by_code

g., WEB-42) instead of UUID. Get task by human-readable code

link_subtask

Link an existing task as a subtask

list_checklists

List checklists on a task

list_comments

Comments support rich text. List comments on a task

list_effort_levels

List effort/priority levels

list_subtasks

List subtasks of a task

list_task_types

) with their colors. List task types in a project

list_tasks

Filter by status (todo, in-progress, done), sprint, user_story, users, labels, type, effort, workflow, is_blocker, is_archived, unassigned, created_at (YYYY-MM-DD=YYYY-MM-DD), closed_at, per_page. List tasks with advanced filters

move_task_to_project

Move a task to a different project

my_tasks

Get all tasks assigned to me

my_today_tasks

Get tasks due today

related_tasks

Get tasks related to a task

set_task_estimate

Set story points / estimate for a task

toggle_checklist_item

Toggle a checklist item done/undone

toggle_task_done

Toggle task completion status

unassign_member

Remove a user from a task

unlink_subtask

Unlink a subtask

update_comment

Edit an existing comment

update_task

Update an existing task

Example Prompts for GitScrum Tasks in LangChain

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

"Show me all in-progress tasks in the web-app project."

"Create a bug task 'Login timeout on slow connections' in web-app and assign it to janedoe."

"Add a checklist to task WEB-42 with items for 'Write unit tests', 'Update docs', and 'Deploy to staging'."

Troubleshooting GitScrum Tasks MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

GitScrum Tasks + LangChain FAQ

Common questions about integrating GitScrum Tasks 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.