Rollbar 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 Rollbar 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 Rollbar. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Rollbar?"
)
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 Rollbar MCP Server
Connect your conversational assistant directly to Rollbar, the premier continuous code error tracking platform. This integration transforms your AI into a proactive site reliability engineer, allowing you to instantly isolate stack traces, track down the origin of critical bugs, and manage your code's lifecycles from a single text interface.
LlamaIndex agents combine Rollbar 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
- Uncover Critical Bugs — Instruct your assistant to list current active errors (
list_items) or instantly retrieve the highest-impact issues severely affecting your user base (top_active_items). - Dive Deep into Exceptions — Pass a specific error ID to the AI (
get_item) to explore occurrences (list_occurrences) and obtain complete stack trace logs (get_occurrence) to determine precisely where your application failed. - Manage Deployments & Health — Tell the AI to review the history of code deployments (
list_deploys) or seamlessly report a brand-new release tied to a specific Git commit directly into the monitoring dashboard (report_deploy). - Orchestrate Resolution — Did you fix the problem? Direct the assistant to change the bug's status and automatically resolve or mute the error ticket (
update_item).
The Rollbar 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 Rollbar to LlamaIndex via MCP
Follow these steps to integrate the Rollbar 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 Rollbar
Why Use LlamaIndex with the Rollbar MCP Server
LlamaIndex provides unique advantages when paired with Rollbar through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Rollbar tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Rollbar tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Rollbar, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Rollbar tools were called, what data was returned, and how it influenced the final answer
Rollbar + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Rollbar MCP Server delivers measurable value.
Hybrid search: combine Rollbar real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Rollbar 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 Rollbar for fresh data
Analytical workflows: chain Rollbar queries with LlamaIndex's data connectors to build multi-source analytical reports
Rollbar MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Rollbar to LlamaIndex via MCP:
get_deploy
Retrieves details for a specific deployment
get_item
Retrieves details for a specific error item
get_occurrence
Retrieves full details for a specific error occurrence
list_deploys
Lists all registered code deployments
list_invites
Lists pending team invitations
list_items
Lists all error items tracked by Rollbar
list_occurrences
Lists individual error occurrences for an item
report_deploy
Specify environment and Git revision. Reports a new code deployment to Rollbar
top_active_items
Retrieves the top most frequent error items
update_item
Valid statuses: active, resolved, muted. Updates the status of an error item
Example Prompts for Rollbar in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Rollbar immediately.
"Check the dashboard for any listed error items recorded recently."
"Get the stack trace and precise occurrence detail for occurrence ID '1234abcd'."
"Report a new deployment in Rollbar for the 'production' environment using the commit revision '8a3bd41'."
Troubleshooting Rollbar MCP Server with LlamaIndex
Common issues when connecting Rollbar to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpRollbar + LlamaIndex FAQ
Common questions about integrating Rollbar 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 Rollbar 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 Rollbar to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.