CodeRabbit MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CodeRabbit as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 CodeRabbit. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in CodeRabbit?"
)
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 CodeRabbit MCP Server
Connect your CodeRabbit organization to any AI agent and take full control of your AI-powered code review operations through natural conversation.
LlamaIndex agents combine CodeRabbit tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- User Management — List all organization members, filter by seat assignment or role, and inspect individual profiles
- Seat Control — Bulk assign or unassign CodeRabbit seats to enable or disable AI code reviews for team members
- Role Administration — Promote members to admin or demote admins to member role in bulk operations
- PR Review Metrics — Retrieve complexity scores, review times, and comment breakdowns for merged pull requests across any date range
- Compliance Audit Logs — Access tamper-resistant records of administrative actions for SIEM integration and compliance reporting
- Configuration — View and update seat assignment modes (automatic vs. manual)
The CodeRabbit MCP Server exposes 9 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 CodeRabbit to LlamaIndex via MCP
Follow these steps to integrate the CodeRabbit 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 9 tools from CodeRabbit
Why Use LlamaIndex with the CodeRabbit MCP Server
LlamaIndex provides unique advantages when paired with CodeRabbit through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CodeRabbit tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CodeRabbit tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CodeRabbit, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CodeRabbit tools were called, what data was returned, and how it influenced the final answer
CodeRabbit + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CodeRabbit MCP Server delivers measurable value.
Hybrid search: combine CodeRabbit real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CodeRabbit 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 CodeRabbit for fresh data
Analytical workflows: chain CodeRabbit queries with LlamaIndex's data connectors to build multi-source analytical reports
CodeRabbit MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect CodeRabbit to LlamaIndex via MCP:
assign_seats
Up to 500 user IDs per request. Assign CodeRabbit seats to users
demote_users
Demote users from admin to member role
get_audit_logs
Ideal for compliance reporting. Retrieve organization audit logs
get_metrics
Useful for engineering productivity analysis. Retrieve PR review metrics for a date range
get_seat_mode
Get the current seat assignment mode
list_users
Optionally filter by seat assignment status or role. List all users in the CodeRabbit organization
promote_users
Promote users to admin role
unassign_seats
Does not delete user accounts. Remove CodeRabbit seats from users
update_seat_mode
Requires Enterprise plan. Update the seat assignment mode
Example Prompts for CodeRabbit in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with CodeRabbit immediately.
"Show me all team members who don't have a CodeRabbit seat assigned."
"What were our code review metrics for March 2026?"
"Show me the audit trail of admin actions from last week."
Troubleshooting CodeRabbit MCP Server with LlamaIndex
Common issues when connecting CodeRabbit to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCodeRabbit + LlamaIndex FAQ
Common questions about integrating CodeRabbit 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?
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CodeRabbit to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.