Connect Honeybadger to AI agents

Connect Honeybadger to Claude, Codex, Cursor, or other AI agents for your entire team. Metorial security, governance, observability, and gives your team a unified Magic MCP url to connect.

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Supported Tools

Tools15Triggers4

report_error

Report Error

Report an exception/error to Honeybadger via the Reporting API. Creates a new error notice that will appear in your project's error tracking. Requires a project API key.

query_insights

Query Insights

Run a BadgerQL query against Honeybadger Insights to search logs and custom events. Returns structured results with metadata about the query execution.

manage_project

Manage Project

Create, update, or delete a Honeybadger project. Use **create** to set up a new project (requires an account ID), **update** to modify an existing project's settings, or **delete** to remove a project.

list_projects

List Projects

List all Honeybadger projects accessible with your auth token. Optionally filter by account. Returns project details including name, language, fault count, and associated teams.

get_error_details

Get Error Details

Retrieve detailed information about a specific error (fault) including its recent occurrences (notices), comments, and metadata. Provides full context for debugging.

manage_deployments

Manage Deployments

List, record, or delete deployments for a Honeybadger project. Recording a new deployment uses the Reporting API and requires a project API key. Listing and deleting use the Data API.

manage_check_ins

Manage Check-Ins

Create, update, list, get, or delete check-ins (dead-man-switch monitors) in a Honeybadger project. Check-ins monitor scheduled tasks and cron jobs by expecting periodic pings. If a ping is missed, an alert is triggered.

manage_uptime

Manage Uptime Checks

Create, update, list, or delete uptime monitoring checks (sites) in a Honeybadger project. Uptime checks periodically monitor whether your web applications and APIs are responsive.

report_check_in

Report Check-In

Send a check-in ping to Honeybadger to indicate that a scheduled task or cron job has run successfully. Uses the Reporting API and requires a project API key.

manage_error

Manage Error

Resolve, unresolve, ignore, assign, pause, or delete an error (fault) in Honeybadger. Also supports bulk resolving errors that match a search query and adding comments to errors.

send_events

Send Events

Send custom events to Honeybadger Insights. Events appear in the Insights dashboard where they can be queried and visualized. Useful for tracking user signups, payment events, performance metrics, or any structured data.

list_outages

List Outages

Retrieve the outage history for a specific uptime check (site). Shows when the site went down, when it came back up, the HTTP status code, and the reason for the outage.

search_errors

Search Errors

Search and list errors (faults) in a Honeybadger project. Supports filtering by search query, time range, and ordering. Use the search query to filter by class name, message, environment, component, action, or tags.

manage_environments

Manage Environments

List, create, update, or delete environments within a Honeybadger project. Environments organize error data and monitoring by deployment context (e.g., production, staging, development).

manage_teams

Manage Teams

List, create, update, or delete teams. Also supports listing team members, removing members, and sending invitations to join a team.

More integrations teams use with Honeybadger

GitHub

Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.

Sharepoint

Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Resolve site users to numeric Person/Group LookupId values. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Subscribe to webhooks for list and library change notifications. Retrieve site properties and search for sites across Microsoft 365.

Salesforce

Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Subscribe to real-time change events via Change Data Capture and Platform Events. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.

Airtable

Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.

Bitbucket

Manage Git repositories, pull requests, and CI/CD pipelines on Bitbucket Cloud. Create, fork, and configure repositories within workspaces and projects. Create, review, approve, merge, and decline pull requests with inline code comments. Browse source code, list commits, and manage branches and tags. Track issues with the built-in issue tracker. Trigger, monitor, and manage Bitbucket Pipelines. List workspace members, configure repository default reviewers and branch restrictions, create and manage repository webhooks, and search code across repositories.

Heroku

Deploy, manage, and scale applications on Heroku's cloud platform. Create and configure apps, scale dynos, provision add-ons (databases, caching, etc.), manage configuration variables, build and release code, add custom domains and SSL certificates, manage collaborators and team permissions, configure pipelines for continuous delivery, set up log drains, and sync data with Salesforce via Heroku Connect. Subscribe to webhooks for real-time notifications on app changes, builds, releases, dyno lifecycle events, and more.

Technical notes for Honeybadger

Track, search, and manage application errors (faults) and their occurrences (notices). Resolve, unresolve, and assign errors to team members, and add comments for collaboration. Monitor uptime by managing site checks and viewing outage history. Create and manage check-ins to monitor cron jobs and scheduled tasks. Record and retrieve deployment information with revision, environment, and repository details. Send custom events and structured logs, then query them using BadgerQL for insights and analytics. Create and manage projects, teams, environments, and public status pages. Report error events, check-in pings, and deployments via the Reporting API. Receive webhooks for error occurrences, uptime changes, missing check-ins, and deployments.

Connect Honeybadger to production AI agents

See how Metorial gives Honeybadger access the governance, tracing, and security controls teams need.

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Frequently asked questions

Common questions about connecting Honeybadger to AI agents with Metorial.

  1. Can Metorial connect Honeybadger to AI agents?
    Yes. Metorial connects AI agents to Honeybadger through a governed integration layer, so teams can use the provider while keeping access controlled and observable.
  2. Metorial is MCP compatible and lets teams expose approved provider tools to MCP-capable agents and clients through a controlled access layer.
  3. Metorial applies policies across users, groups, providers, agents, and individual tools, then records the context around every agent interaction.
  4. Yes. Metorial records provider activity so teams can inspect tool calls, troubleshoot integrations, and give security teams the visibility they need.