MCP Rollbar Server
M

MCP Rollbar Server

A dynamic Rollbar MCP server implementation for the interaction between LLMs and Rollbar error tracking data, supporting functions such as listing and filtering error items, getting detailed error information, viewing error occurrences, and accessing project and deployment details.
2.5 points
6.2K

What is the Rollbar MCP Server?

The Rollbar MCP Server is a tool for integrating with the Rollbar error tracking API, allowing large language models (LLMs) to access and analyze error data in your applications. It supports various functions, such as listing errors, viewing detailed information, tracking deployment status, and managing projects and users.

How to use the Rollbar MCP Server?

First, you need to set environment variables to connect to the Rollbar API. Then, you can use the provided commands to perform various operations, such as listing errors, getting details of specific errors, or tracking deployment records.

Applicable scenarios

It is suitable for developers and technical teams who want to quickly understand the problems in their applications and take corresponding measures to optimize performance and user experience.

Main features

List errors
List the error list in the project according to filtering conditions (such as status, level, environment).
Get error details
Get detailed error information, including stack traces and recent occurrences, by specifying the error ID or counter.
Track deployments
Display the latest deployment records of the specified project.
Manage users and teams
List all users and their related information, or get the detailed profile of a single user.
Advantages
Seamlessly integrate with the Rollbar API to simplify the error management and monitoring process.
Support multiple filtering options to help quickly locate the problem.
Provide detailed error information and context for a more in - depth analysis of the root cause of the problem.
Limitations
Need to configure the Rollbar API token to use some advanced functions normally.
Higher network request quota support may be required for large - scale projects.

How to use

Installation and configuration
After cloning the repository, run npm install to install dependencies and build the project. Then, add the corresponding configuration information, including the Rollbar project and account access token, to the ~/.cursor/mcp.json file.
Start the service
After starting the local service, you can start calling the API interface to query data.

Usage examples

Case title: List recent production environment errors
Show how to filter out the list of errors that recently occurred in the production environment.
Case title: Get specific error details
Demonstrate how to request more detailed log information for a specific error ID.

Frequently Asked Questions

How to get the Rollbar API token?
Why can't I see all the errors?

Related resources

Official documentation
Comprehensive documentation provided by Rollbar officially.
GitHub repository
The source code address of the open - source project.

Installation

Copy the following command to your Client for configuration
{
    "mcpServers": {
      "rollbar-mcp": {
        "command": "npx",
        "args": ["-y", "@hiyorineko/mcp-rollbar-server"],
        "env": {
          "ROLLBAR_PROJECT_TOKEN": "YOUR_PROJECT_ACCESS_TOKEN",
          "ROLLBAR_ACCOUNT_TOKEN": "YOUR_ACCOUNT_ACCESS_TOKEN",
          "ROLLBAR_PROJECT_ID": "YOUR_PROJECT_ID",
          "ROLLBAR_PROJECT_NAME": "YOUR_PROJECT_NAME"
        }
      }
    }
}

{
    "mcpServers": {
      "rollbar-mcp": {
        "command": "YOUR_NODE_PATH",
        "args": ["YOUR_PROJECT_PATH/mcp-rollbar-server/dist/src/index.js"],
        "env": {
          "ROLLBAR_PROJECT_TOKEN": "YOUR_PROJECT_ACCESS_TOKEN",
          "ROLLBAR_ACCOUNT_TOKEN": "YOUR_ACCOUNT_ACCESS_TOKEN",
          "ROLLBAR_PROJECT_ID": "YOUR_PROJECT_ID",
          "ROLLBAR_PROJECT_NAME": "YOUR_PROJECT_NAME"
        }
      }
    }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
9.2K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
6.0K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.5K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
8.0K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.2K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.8K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
15.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
15.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
43.8K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.3K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.8K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.0K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase