Gerrit MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Gerrit 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 Gerrit. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Gerrit?"
)
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 Gerrit MCP Server
Connect your Gerrit Code Review instance to any AI agent and take full control of your collaborative code reviews, project repositories, and patch set management through natural conversation.
LlamaIndex agents combine Gerrit tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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.
What you can do
- Change & Review Orchestration — Query Gerrit changes using advanced syntax like 'status:open' or 'owner:self' to retrieve subjects, numbers, and owners natively
- Patch Set Auditing — List all revisions (patch sets) of a change to track commit SHAs, uploader info, and parent commits for detailed version history flawlessly
- Reviewer & Approval Oversight — Enumerate reviewers on any change and retrieve approval labels (Code-Review, Verified) to monitor the consensus process synchronousy
- Project & Repository Navigation — List all projects and retrieve detailed metadata including states (ACTIVE/READ_ONLY) and default branch configurations securely
- Branch Management — Identify and list all branches within a Gerrit project, extracting the latest commit SHAs to verify repository boundaries natively
- Account & Identity Discovery — Fetch authenticated user profile information and list associated verified email addresses to verify account contexts flawlessy
- Group & Access Auditing — List all Gerrit groups to identify who controls access to projects and grants specific permissions within your organizational tree
The Gerrit MCP Server exposes 10 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 Gerrit to LlamaIndex via MCP
Follow these steps to integrate the Gerrit 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 10 tools from Gerrit
Why Use LlamaIndex with the Gerrit MCP Server
LlamaIndex provides unique advantages when paired with Gerrit through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Gerrit tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Gerrit tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Gerrit, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Gerrit tools were called, what data was returned, and how it influenced the final answer
Gerrit + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Gerrit MCP Server delivers measurable value.
Hybrid search: combine Gerrit real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Gerrit 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 Gerrit for fresh data
Analytical workflows: chain Gerrit queries with LlamaIndex's data connectors to build multi-source analytical reports
Gerrit MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Gerrit to LlamaIndex via MCP:
get_account
Get the authenticated Gerrit account
get_change
Get full details of a Gerrit change
get_project
Get full details of a Gerrit project
list_branches
List all branches in a Gerrit project
list_emails
List all email addresses associated with the authenticated Gerrit account
list_groups
Returns group names, IDs, owners, and descriptions. List all groups on Gerrit
list_patchsets
List all patch sets (revisions) of a Gerrit change
list_projects
List all projects (repositories) on Gerrit
list_reviewers
List all reviewers on a Gerrit change
query_changes
Uses syntax: "status:open", "owner:self", "project:myproj". Returns subjects, numbers, statuses, owners, projects, patches. Query changes (code reviews) on Gerrit
Example Prompts for Gerrit in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Gerrit immediately.
"List my open changes in project 'core-engine'"
"Who are the reviewers for change #501?"
"List all branches in project 'frontend-v2'"
Troubleshooting Gerrit MCP Server with LlamaIndex
Common issues when connecting Gerrit to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGerrit + LlamaIndex FAQ
Common questions about integrating Gerrit 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 Gerrit 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 Gerrit to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.