Rollbar▌
by hiyorineko
Monitor application errors and deployments with Rollbar, a cloud-based network monitoring tool for real-time error track
Provides a bridge to Rollbar error tracking platform for monitoring and analyzing application errors, retrieving detailed information, managing projects, and tracking deployments.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Developers debugging production issues
- / DevOps teams monitoring application health
- / Engineering managers tracking error trends
- / Teams doing post-incident analysis
capabilities
- / List and filter error items across projects
- / Get detailed error information and occurrences
- / Track application deployments
- / Access project and environment details
- / View team and user information
- / Filter errors by environment and status
what it does
Connects to Rollbar's error tracking platform to retrieve and analyze application errors, deployments, and project data through your existing Rollbar account.
about
Rollbar is a community-built MCP server published by hiyorineko that provides AI assistants with tools and capabilities via the Model Context Protocol. Monitor application errors and deployments with Rollbar, a cloud-based network monitoring tool for real-time error track It is categorized under developer tools.
how to install
You can install Rollbar in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Rollbar is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Rollbar MCP Server
A dynamic MCP server implementation for Rollbar API integration, enabling LLMs to interact with Rollbar error tracking data.
<a href="https://glama.ai/mcp/servers/@hiyorineko/mcp-rollbar-server"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@hiyorineko/mcp-rollbar-server/badge" alt="Rollbar Server MCP server" /> </a>Features
- List and filter error items
- Get detailed error information
- View error occurrences
- Access project and environment details
- Track deployments
- List users and teams
Configuration
Environment Variables
ROLLBAR_PROJECT_TOKEN: Rollbar Project Access Token - Required for APIs to retrieve project error and deployment informationROLLBAR_ACCOUNT_TOKEN: Rollbar Account Access Token - Required for APIs to access account-wide project and user informationROLLBAR_PROJECT_ID: Default project ID (used when not specified in requests) - OptionalROLLBAR_PROJECT_NAME: Default project name for reference - Optional
Note: Depending on the features you use, you'll need either
ROLLBAR_PROJECT_TOKEN,ROLLBAR_ACCOUNT_TOKEN, or both. For full functionality, it's recommended to configure both tokens, but the service will work with only the relevant token for specific APIs.
Required Tokens and API Correspondence Table
| API | Required Token |
|---|---|
rollbar_list_items | ROLLBAR_PROJECT_TOKEN |
rollbar_get_item | ROLLBAR_PROJECT_TOKEN |
rollbar_get_item_by_counter | ROLLBAR_PROJECT_TOKEN |
rollbar_list_occurrences | ROLLBAR_PROJECT_TOKEN |
rollbar_get_occurrence | ROLLBAR_PROJECT_TOKEN |
rollbar_list_environments | ROLLBAR_PROJECT_TOKEN |
rollbar_list_deploys | ROLLBAR_PROJECT_TOKEN |
rollbar_get_deploy | ROLLBAR_PROJECT_TOKEN |
rollbar_list_projects | ROLLBAR_ACCOUNT_TOKEN |
rollbar_get_project | ROLLBAR_ACCOUNT_TOKEN |
rollbar_list_users | ROLLBAR_ACCOUNT_TOKEN |
rollbar_get_user | ROLLBAR_ACCOUNT_TOKEN |
You can obtain Rollbar access tokens as follows:
- Log in to your Rollbar account (https://rollbar.com/)
- For project tokens: Settings -> Project Access Tokens (for project-level access)
- For account tokens: Settings -> Account Access Tokens (for account-level access)
- Create a new token with "read" scope
How to use
Cursor Integration
Add to your ~/.cursor/mcp.json:
{
"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"
}
}
}
}
Locally
After cloning this repository, follow these steps to set up the MCP client:
$ cd mcp-rollbar-server
$ npm install
$ npm run build
Add to your ~/.cursor/mcp.json:
{
"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"
}
}
}
}
To find the value for "YOUR_NODE_PATH", run which node in your terminal.
Usage Examples
List the most recent errors in my production environment.
View Error Details
Get detailed information for error item with ID 12345, including stack trace and recent occurrences.
Track Deployments
Show me the recent deployments for project 67890.
Filter Errors by Level
List all critical errors that occurred in the last week.
Tools
rollbar_list_items
List items (errors) from Rollbar
- Input:
status(string, optional): Filter by status (active, resolved, muted, etc.)level(string, optional): Filter by level (critical, error, warning, info, debug)environment(string, optional): Filter by environment (production, staging, etc.)limit(number, optional): Maximum number of items to return (default: 20)page(number, optional): Page number for pagination (default: 1)
- Returns: List of error items with details such as counter, level, total occurrences, etc.
rollbar_get_item
Get a specific item (error) from Rollbar using the internal item ID maintained by Rollbar's system.
- Input:
id(number): Item ID
- Returns: Detailed information about a specific error item
rollbar_get_item_by_counter
Get a specific item by project counter from Rollbar. The counter is the visible ID that appears in the Rollbar UI.
- Input:
counter(number): Project counter for the item
- Returns: Detailed information about a specific error item identified by its project counter
rollbar_list_occurrences
List occurrences of errors from Rollbar
- Input:
itemId(number, optional): Item ID to filter occurrenceslimit(number, optional): Maximum number of occurrences to return (default: 20)page(number, optional): Page number for pagination (default: 1)
- Returns: List of error occurrences with detailed information
rollbar_get_occurrence
Get a specific occurrence of an error from Rollbar
- Input:
id(string): Occurrence ID
- Returns: Detailed information about a specific error occurrence
rollbar_list_projects
List projects from Rollbar
- Input: None
- Returns: List of projects with their IDs, names, and statuses
rollbar_get_project
Get a specific project from Rollbar
- Input:
id(number): Project ID
- Returns: Detailed information about a specific project
rollbar_list_environments
List environments from Rollbar
- Input:
projectId(number): Project ID
- Returns: List of environments for the specified project
rollbar_list_users
List users from Rollbar
- Input: None
- Returns: List of users with their IDs, usernames, emails, and access levels
rollbar_get_user
Get a specific user from Rollbar
- Input:
id(number): User ID
- Returns: Detailed information about a specific user
rollbar_list_deploys
List deploys from Rollbar
- Input:
projectId(number): Project IDenvironment(string, optional): Environment namelimit(number, optional): Maximum number of deploys to return (default: 20)page(number, optional): Page number for pagination (default: 1)
- Returns: List of deploys for the specified project and environment
rollbar_get_deploy
Get a specific deploy from Rollbar
- Input:
deployId(number): Deploy ID
- Returns: Detailed information about a specific deployment
FAQ
- What is the Rollbar MCP server?
- Rollbar is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Rollbar?
- This profile displays 35 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★35 reviews- ★★★★★Yuki Martin· Dec 20, 2024
Rollbar is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Yuki Taylor· Nov 11, 2024
Useful MCP listing: Rollbar is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Yash Thakker· Nov 7, 2024
I recommend Rollbar for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Dhruvi Jain· Oct 26, 2024
Strong directory entry: Rollbar surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Aditi Rahman· Oct 2, 2024
Rollbar reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Hassan Chawla· Sep 21, 2024
Rollbar is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 13, 2024
We wired Rollbar into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Kofi Lopez· Sep 13, 2024
We evaluated Rollbar against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Hassan Malhotra· Aug 12, 2024
We evaluated Rollbar against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Shikha Mishra· Aug 4, 2024
Rollbar is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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