Can my AI agent use notes as persistent memory across sessions?

Absolutely — this is a core design goal. Use `create_note` to store decisions, context, or meeting summaries as markdown notes. Organize them into folders with `create_note_folder` and `move_note_to_folder`. Use `toggle_note_share` to publish findings to the team. Every edit is versioned via `note_revisions` so you can track how knowledge evolves.

Can the agent search across everything in my workspace at once?

Yes! The `global_search` tool performs a unified search across tasks, wiki pages, discussions, user stories, sprints, and notes. Results are grouped by resource type, so you instantly see where every mention lives. It's the fastest way to find anything in your workspace.

Can the agent participate in team discussions and reply to threads?

Yes. Use `send_message` to post updates to any discussion channel, and `reply_to_message` for threaded conversations. The agent can also create channels with `create_channel`, search message history with `search_channel_messages`, and review thread replies with `thread_replies` — enabling fully automated status updates and knowledge sharing.

GitScrum Knowledge MCP Server for AutoGen 28 tools — connect in under 2 minutes

Name: GitScrum Knowledge
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 28 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add GitScrum Knowledge as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="gitscrum_knowledge_agent",
            tools=tools,
            system_message=(
                "You help users with GitScrum Knowledge. "
                "28 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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<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 GitScrum Knowledge MCP Server

What you can do

Agent memory via notes — create, update, share, and organize notes as persistent AI memory with full revision history and folder management
Wiki knowledge base — build and maintain project documentation with nested pages, markdown content, revision tracking, and restore capabilities
Team discussions — create channels, send messages, search conversations, and reply in threads for structured team communication
Global search — search across tasks, wiki pages, discussions, user stories, sprints, and notes in a single query
Knowledge versioning — track how information evolves over time with note and wiki revision histories

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use GitScrum Knowledge tools. Connect 28 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

The GitScrum Knowledge MCP Server exposes 28 tools through the Vinkius. Connect it to AutoGen 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 Knowledge to AutoGen via MCP

Follow these steps to integrate the GitScrum Knowledge MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 28 tools from GitScrum Knowledge automatically

Why Use AutoGen with the GitScrum Knowledge MCP Server

AutoGen provides unique advantages when paired with GitScrum Knowledge through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use GitScrum Knowledge tools to solve complex tasks

Role-based architecture lets you assign GitScrum Knowledge tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive GitScrum Knowledge tool calls

Code execution sandbox: AutoGen agents can write and run code that processes GitScrum Knowledge tool responses in an isolated environment

GitScrum Knowledge + AutoGen Use Cases

Practical scenarios where AutoGen combined with the GitScrum Knowledge MCP Server delivers measurable value.

Collaborative analysis: one agent queries GitScrum Knowledge while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from GitScrum Knowledge, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using GitScrum Knowledge data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process GitScrum Knowledge responses in a sandboxed execution environment

GitScrum Knowledge MCP Tools for AutoGen (28)

These 28 tools become available when you connect GitScrum Knowledge to AutoGen via MCP:

channel_messages

Get messages in a channel

create_channel

Create a discussion channel

create_note

Use this as persistent agent memory: store decisions, context, meeting notes, or ADRs. Content supports full markdown. Create a new note

create_note_folder

E.g., "Agent Memory", "Architecture Decisions", "Meeting Notes". Create a note folder

create_wiki_page

Supports nested pages via parent_uuid. Create a wiki page

delete_note

Delete a note permanently

delete_wiki_page

Delete a wiki page

get_channel

Get channel details

get_wiki_page

Get a wiki page with full content

global_search

Returns grouped results by resource type. Search across all workspace resources

list_channels

List discussion channels

list_discussions

List all discussions in a project

list_note_folders

Use folders to categorize agent memory by topic or project. List note folders

list_notes

Perfect for agent memory — store context, decisions, and key information across sessions. List all notes in the workspace

list_wiki_pages

Wiki pages support markdown and nested hierarchies. List wiki pages in a project

move_note_to_folder

Move a note into a folder

note_revisions

Useful for tracking how knowledge evolved over time. Get note revision history

rename_note_folder

Rename a note folder

reply_to_message

Reply to a message in a thread

restore_wiki_revision

Restore a wiki page to a previous revision

search_channel_messages

Search messages in a channel

search_wiki

Search wiki pages

send_message

Useful for agents to communicate findings or status updates. Send a message to a channel

thread_replies

Get thread replies for a message

toggle_note_share

Useful for publishing agent findings to the team. Toggle note sharing visibility

update_note

Use to append context or refine agent memory over time. Update an existing note

update_wiki_page

Update a wiki page

wiki_revisions

Get wiki page revision history

Example Prompts for GitScrum Knowledge in AutoGen

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

"Save a note with today's architecture decision about using event sourcing."

"Search everything in our workspace for 'payment gateway integration'."

"Post an update in the #engineering channel about today's deployment."

Troubleshooting GitScrum Knowledge MCP Server with AutoGen

Common issues when connecting GitScrum Knowledge to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

GitScrum Knowledge + AutoGen FAQ

Common questions about integrating GitScrum Knowledge MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call GitScrum Knowledge tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.