Rollbar MCP Server

The Rollbar MCP Server bridges the gap between an AI assistant and Rollbar’s robust error‑tracking ecosystem. By exposing a suite of Rollbar API endpoints through the Model Context Protocol, it allows language models to query real‑time incident data, drill into stack traces, and even correlate deployments with error spikes—all without leaving the conversational interface. For developers who rely on Rollbar to surface production bugs, this server turns passive data into actionable insights that can be surfaced during code reviews, debugging sessions, or automated incident response workflows.

At its core, the server implements a collection of well‑named tools such as , , and . These tools translate natural language prompts into concrete API calls, returning structured JSON that the assistant can interpret and present. The ability to filter by environment, error level, or deployment ID means that a developer can ask, for example, “Show me the most critical errors in production this week” and receive a concise list complete with timestamps, affected users, and stack traces. This level of granularity is invaluable for triaging incidents in a fast‑moving CI/CD pipeline.

Key capabilities include:

• Error discovery and filtering: List items by severity, environment, or time range.
• Detailed incident context: Retrieve stack traces, user impact, and related occurrences.
• Deployment correlation: View recent deployments and link them to newly surfaced errors.
• Project & account overview: Enumerate projects, environments, users, and teams using account‑level tokens.
• Fine‑grained token control: Separate project and account access tokens allow least‑privilege configuration, ensuring that only the necessary data is exposed to the AI.

Real‑world scenarios for this server are plentiful. A QA engineer can ask the assistant to pull the latest error reports before a release, a DevOps team can request deployment‑error heat maps during an incident, and a product manager might query user impact statistics to prioritize bug fixes—all within the same conversational thread. By integrating with tools like Cursor, the server can be launched automatically as part of a local development environment or a cloud‑based AI assistant, streamlining the feedback loop from code commit to production health.

What sets the Rollbar MCP Server apart is its focus on contextual relevance and security by design. The explicit mapping of each Rollbar API to the required token type ensures that developers can enable just enough permissions for their use case, reducing attack surface. Additionally, the server’s modular toolset aligns naturally with existing MCP workflows, allowing developers to compose complex queries by chaining simple, well‑defined operations. This combination of granular access control, rich error data exposure, and seamless integration makes the Rollbar MCP Server a powerful addition to any AI‑augmented development pipeline.