honeybadger mcp
Connect your AI agent to Honeybadger to list production faults, fetch stack traces, and automate bug fixes.
$30
Works with the AI Agents you already use
honeybadger mcp
Example session with this skill installed
List the most recent unresolved Honeybadger errors in production for project 76543 and analyze the top one.
- Read your context and instructions
- Compiled the honeybadger mcp
I have retrieved the latest unresolved faults for project 76543. The most critical issue is a NameError occurring in the checkout flow.
Honeybadger finding
- Fault ID: 98210334
- Class / message:
NameError: undefined local variable or method 'apply_discount' for #<Order:0x0000> - Environment: production
- Occurrences: 42 (last seen 5 minutes ago)
- Primary location:
app/models/order.rb:112inprocess_payment
Root cause: The method process_payment references apply_discount, but this method was recently renamed to apply_promotional_discount in the last deployment, leaving a stale reference in the payment logic.
- Recommended fix: Update line 112 in
app/models/order.rbto call the correct method name.
Verification: Run bundle exec rspec spec/models/order_spec.rb and check the Honeybadger dashboard after deployment to ensure no new notices appear for this ID.
# Proposed patch for app/models/order.rb
def process_payment
- apply_discount
+ apply_promotional_discount
gateway.authorize(total)
end
Next steps
- Open
app/models/order.rbat line 112 to verify the context. - Apply the method name change.
- Run the existing test suite to check for side effects.
Connects securely to your tools. The creator never sees your data.
About this skill
Manual error tracking wastes developer time. This skill connects your AI agent directly to Honeybadger to inspect live production faults and suggest fixes without leaving your editor.
What it does
- Fault discovery lists unresolved production errors with filtering for environment, project, and status.
- Deep analysis pulls complete stack traces and error metadata to identify root causes.
- Context retrieval fetches specific notices to inspect session data, CGI params, and environment variables.
- Source mapping correlates remote stack frames to local workspace files for immediate debugging.
- Fix generation proposes concrete patches and regression tests based on real-world error data.
How it works
- Setup guides you through configuring the MCP server with your API key and project ID.
- Triage lists recent unresolved faults to identify high-priority issues.
- Analyze runs a deep dive on a specific fault ID to extract stack context and fix suggestions.
- Locate opens the relevant local files identified in the Honeybadger trace.
- Resolve implements the suggested fix and summarizes the findings for the team.
Frameworks & tools
Built for any MCP-capable agent including Cursor, Claude Desktop, Claude Code, and Windsurf. Requires Node.js 18+ and a Honeybadger account.
Why this beats prompting it yourself
Pasting stack traces manually is slow and prone to losing critical context like session data or environment metadata. This skill automates the data retrieval, ensuring the agent sees the exact production state that caused the crash.
Use cases
- Debugging a
NoMethodErrorappearing in the production environment. - Daily triage of unresolved exceptions across multiple Honeybadger projects.
- Identifying which recent deployment introduced a specific regression.
- Reviewing session and param data for elusive edge-case bugs.
Known limitations
This skill is read-only and cannot resolve or delete faults in the Honeybadger UI. It requires a personal auth token and does not support SSO-only environments without API access.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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- Passed all security checks, Safe to install
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