GitScrum Knowledge MCP Server for LlamaIndex 28 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add GitScrum Knowledge as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to GitScrum Knowledge. "
"You have 28 tools available."
),
)
response = await agent.run(
"What tools are available in GitScrum Knowledge?"
)
print(response)
asyncio.run(main())
* 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
LlamaIndex agents combine GitScrum Knowledge tool responses with indexed documents for comprehensive, grounded answers. Connect 28 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
The GitScrum Knowledge MCP Server exposes 28 tools through the Vinkius. Connect it to LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the GitScrum Knowledge MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 28 tools from GitScrum Knowledge
Why Use LlamaIndex with the GitScrum Knowledge MCP Server
LlamaIndex provides unique advantages when paired with GitScrum Knowledge through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine GitScrum Knowledge tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain GitScrum Knowledge tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query GitScrum Knowledge, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what GitScrum Knowledge tools were called, what data was returned, and how it influenced the final answer
GitScrum Knowledge + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the GitScrum Knowledge MCP Server delivers measurable value.
Hybrid search: combine GitScrum Knowledge real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query GitScrum Knowledge to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying GitScrum Knowledge for fresh data
Analytical workflows: chain GitScrum Knowledge queries with LlamaIndex's data connectors to build multi-source analytical reports
GitScrum Knowledge MCP Tools for LlamaIndex (28)
These 28 tools become available when you connect GitScrum Knowledge to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting GitScrum Knowledge to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGitScrum Knowledge + LlamaIndex FAQ
Common questions about integrating GitScrum Knowledge MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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.
Connect GitScrum Knowledge to LlamaIndex
Get your token, paste the configuration, and start using 28 tools in under 2 minutes. No API key management needed.