GitScrum Knowledge MCP Server
Build and query knowledge bases via GitScrum — manage notes as agent memory, maintain wiki pages, communicate through discussions, and search across all resources from any AI agent.
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What is the GitScrum MCP Server?
The GitScrum MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to GitScrum via 28 tools. Build and query knowledge bases via GitScrum — manage notes as agent memory, maintain wiki pages, communicate through discussions, and search across all resources from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (28)
Tools for your AI Agents to operate GitScrum
Ask your AI agent "Save a note with today's architecture decision about using event sourcing." and get the answer without opening a single dashboard. With 28 tools connected to real GitScrum data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
GitScrum Knowledge MCP Server capabilities
28 toolsGet messages in a channel
Create a discussion channel
Use this as persistent agent memory: store decisions, context, meeting notes, or ADRs. Content supports full markdown. Create a new note
E.g., "Agent Memory", "Architecture Decisions", "Meeting Notes". Create a note folder
Supports nested pages via parent_uuid. Create a wiki page
Delete a note permanently
Delete a wiki page
Get channel details
Get a wiki page with full content
Returns grouped results by resource type. Search across all workspace resources
List discussion channels
List all discussions in a project
Use folders to categorize agent memory by topic or project. List note folders
Perfect for agent memory — store context, decisions, and key information across sessions. List all notes in the workspace
Wiki pages support markdown and nested hierarchies. List wiki pages in a project
Move a note into a folder
Useful for tracking how knowledge evolved over time. Get note revision history
Rename a note folder
Reply to a message in a thread
Restore a wiki page to a previous revision
Search messages in a channel
Search wiki pages
Useful for agents to communicate findings or status updates. Send a message to a channel
Get thread replies for a message
Useful for publishing agent findings to the team. Toggle note sharing visibility
Use to append context or refine agent memory over time. Update an existing note
Update a wiki page
Get wiki page revision history
What the GitScrum Knowledge MCP Server unlocks
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
How it works
1. Subscribe to the GitScrum Knowledge integration from the marketplace
2. Enter your GitScrum API token and company slug
3. Use your agent as a knowledge hub — store decisions in notes, document processes in wiki, discuss with the team, and search everything in natural language
Your agent becomes the central knowledge repository, bridging personal memory with team knowledge.
Who is this for?
- AI practitioners — maintain persistent agent memory across sessions using notes as structured context
- Technical writers — manage wiki documentation with version control and search directly through conversation
- Team leads — foster asynchronous team communication and decision-tracking without platform switching
Frequently asked questions about the GitScrum Knowledge MCP Server
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.
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Connect GitScrum Knowledge with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of GitScrum MCP Server
Production-grade GitScrum Knowledge MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.