# How to connect Sentry MCP with ChatGPT Work

```json
{
  "title": "How to connect Sentry MCP with ChatGPT Work",
  "toolkit": "Sentry MCP",
  "toolkit_slug": "sentry_mcp",
  "framework": "ChatGPT Work",
  "framework_slug": "chatgpt",
  "url": "https://composio.dev/toolkits/sentry_mcp/framework/chatgpt",
  "markdown_url": "https://composio.dev/toolkits/sentry_mcp/framework/chatgpt.md",
  "updated_at": "2026-08-25T05:36:35.895Z"
}
```

## Introduction

### How to connect Sentry MCP with ChatGPT Work
[ChatGPT Work](https://openai.com/chatgpt-work/) is an agent inside ChatGPT built for your most ambitious work. It takes action across your apps and files, stays with a project for hours, and turns a goal into finished materials like sheets, slides, and docs - not just answers.
In this guide, I will explain the easiest and most secure way to connect your Sentry account to ChatGPT Work via Composio Connect, so it can investigate issues, fetch event details, list your projects, triage errors, and monitor release health through natural language commands without ever putting your account credentials at risk.

## Also integrate Sentry MCP with

- [Claude Cowork](https://composio.dev/toolkits/sentry_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/sentry_mcp/framework/hermes-agent)

## TL;DR

### Why use Composio over default connectors?
- Apps with read and write access. Default connectors mostly can read your data. Composio's Sentry integration lets ChatGPT Work take actions like creating drafts, sending updates, labeling records, and more.
- 1,500+ SaaS toolkits out of the box. Composio gives you instant access to a vast catalog of pre-built connectors, from Gmail and Slack to Notion, Linear, and Salesforce.
- One MCP server for every app. Connect any of your applications on demand through a single endpoint, rather than juggling a separate server for each app.
- Smart, context-aware tool loading. Unlike traditional MCP servers that dump every available tool into the LLM context window, Composio searches for and loads only the tools relevant to the task at hand.
- Cross-app automation. Chain actions across multiple apps in a single run - fetch a thread, summarize it in Notion, and post highlights to Slack without leaving the conversation.

## Connect Sentry MCP to ChatGPT Work

### Prerequisites
- A ChatGPT account with access to ChatGPT Work (rolling out across Pro, Enterprise, Edu, Plus, and Business plans). We will use the [ChatGPT desktop app](https://openai.com/chatgpt/download/), which is available on every plan.
- Access to the Sentry workspace you want to connect.
- [Composio MCP](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=chatgpt&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fchatgpt).
Note: Composio connects through OAuth. You will be asked to sign in and approve specific permissions. Review the permission screen carefully if you are using a work account.
### Step-by-step: Connect Sentry to ChatGPT Work
### 1. Open the MCP settings
In ChatGPT Work, go to Settings and open the Plugins section. Inside the Plugins page, click the MCP tab.
### 2. Add the server
Click Add server. In the Name field enter Composio, for Type select Streamable HTTP, and in the URL field paste the Composio MCP server URL:

```bash
https://connect.composio.dev/mcp
```

## What is the Sentry MCP server, and what's possible with it?

The Sentry MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Sentry account. It provides structured and secure access so your agent can perform Sentry operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SENTRY_MCP_ANALYZE_ISSUE_WITH_SEER` | Analyze issue with seer | Use Seer to analyze production errors and get detailed root cause analysis with specific code fixes. Use this tool when: - The user explicitly asks for root cause analysis, Seer analysis, or help fixing/debugging an issue - You are unable to accurately determine the root cause from the issue details alone Do NOT call this tool as an automatic follow-up to get_sentry_resource. What this tool provides: - Root cause analysis with code-level explanations - Specific file locations and line numbers where errors occur - Concrete code fixes you can apply - Step-by-step implementation guidance This tool automatically: 1. Checks if analysis already exists (instant results) 2. Starts new AI analysis if needed (~2-5 minutes) 3. Returns complete fix recommendations ### User: "Run Seer on this issue" ``` analyze_issue_with_seer(issueUrl='https://my-org.sentry.io/issues/PROJECT-1Z43') ``` ### User: "Analyze this issue and suggest a fix" ``` analyze_issue_with_seer(organizationSlug='my-organization', issueId='ERROR-456') ``` - Only use when the user explicitly requests analysis or you cannot determine the root cause from issue details alone - Seer Autofix does not support metric alert issues (issueCategory: metric); use get_issue_details and search_events instead - If the user provides an issueUrl, extract it and use that parameter alone - The analysis includes actual code snippets and fixes, not just error descriptions - Results are cached - subsequent calls return instantly |
| `SENTRY_MCP_EXECUTE_SENTRY_TOOL` | Execute sentry tool | Execute an available Sentry MCP tool discovered through search_sentry_tools. Use this tool when you need to: - Call a Sentry operation returned by search_sentry_tools - Execute a tool by name using arguments that match its returned schema execute_sentry_tool(name='find_projects', arguments={ organizationSlug: 'my-org' }) execute_sentry_tool(name='whoami', arguments={}) - Use search_sentry_tools first if you are not sure which name or arguments to pass. - Arguments are validated against the target tool's schema before execution. - Active organization, project, and region constraints are injected automatically. |
| `SENTRY_MCP_FIND_ORGANIZATIONS` | Find organizations | Find organizations that the user has access to in Sentry. Use this tool when you need to: - View organizations in Sentry - Find an organization's slug to aid other tool requests - Search for specific organizations by name or slug Returns up to 25 results. If you hit this limit, use the query parameter to narrow down results. |
| `SENTRY_MCP_FIND_PROJECTS` | Find projects | Find projects in Sentry. Use this tool when you need to: - View projects in a Sentry organization - Find a project's slug to aid other tool requests - Search for specific projects by name or slug Returns up to 25 results. When hasMore is true, use the query parameter to narrow down results. |
| `SENTRY_MCP_GET_SENTRY_RESOURCE` | Get sentry resource | Fetch a Sentry resource by URL, or by resourceType plus resourceId. Pass a Sentry URL directly when possible; the resource type is auto-detected. Supports issues, events, traces, spans, AI conversations, replays, monitors, preprod snapshots, and snapshot images. Trace lookups return a condensed overview by default. AI Conversations: A conversation is a set of spans sharing the same gen_ai.conversation.id. Use resourceType='ai_conversation' with a conversation ID, or pass a Sentry conversation URL, to fetch the transcript/details. To discover or list conversations, use search_ai_conversations. Conversations are NOT issues — do not use search_issues for conversation queries. For preprod snapshot URLs (matching 'sentry.io/preprod/snapshots/'): - Without ?selectedSnapshot=: returns the snapshot diff summary (changed, added, removed images) - With ?selectedSnapshot=: returns the image preview and metadata. Use the Sentry tool `get_snapshot_image` for full-resolution image bytes. Resource IDs: - monitor: - snapshot: get_sentry_resource(url='https://sentry.io/issues/PROJECT-123/') get_sentry_resource(resourceType='issue', organizationSlug='my-org', resourceId='PROJECT-123') get_sentry_resource(resourceType='ai_conversation', organizationSlug='my-org', resourceId='conversation-123') get_sentry_resource(url='https://sentry.sentry.io/preprod/snapshots/123/') get_sentry_resource(url='https://sentry.sentry.io/preprod/snapshots/123/?selectedSnapshot=login_screen.png') |
| `SENTRY_MCP_SEARCH_EVENTS` | Search events | Search Sentry events and replays. Use for event counts/statistics. `query` can be natural language or Sentry search syntax. With an agent configured, it fixes dataset, query, fields, and sort before running. Supports TWO query types: 1. AGGREGATIONS (counts, sums, averages): 'how many errors', 'total tokens' 2. Individual events with timestamps: 'error logs from last hour' Datasets: - errors: Exception/crash events with stack traces, usually grouped into issues - logs: Application log entries, including error-severity log messages - spans: Raw trace/span events for performance, AI/LLM calls, requests, and operations - metrics: Metric rows and aggregates: counters, gauges, distributions, values - profiles: Transaction/continuous profile results, profile IDs, profiled transactions - replays: Session replay results: rage clicks, dead clicks, visited pages, replay users If the user says logs, log messages, error logs, or warning logs, choose logs instead of errors. Replay searches return replay lists only; replay count()/avg()/sum() are not supported. NOT for grouped issue lists (use search_issues) or app screenshots/images (use get_latest_base_snapshot). search_events(organizationSlug='my-org', query='how many errors today') search_events(organizationSlug='my-org', dataset='errors', query='level:error') search_events(organizationSlug='my-org', dataset='errors', fields=['issue', 'count()'], sort='-count()') search_events(organizationSlug='my-org', dataset='spans', query='span.op:db', sort='-span.duration') search_events(organizationSlug='my-org', dataset='replays', query='count_errors:>0', sort='-count_errors') - If the user passes a parameter in the form of name/otherName, it's likely in the format of /. - Parse org/project notation directly without calling find_organizations or find_projects. - Use fields with aggregate functions like count(), avg(), sum() for statistics - Sort by -count() for most common, -timestamp for newest |
| `SENTRY_MCP_SEARCH_ISSUES` | Search issues | Search for grouped issues/problems in Sentry - returns a LIST of issues, NOT counts or aggregations. Provide `query` as natural language or Sentry issue search syntax. When an embedded agent is configured, it fixes query and sort before running while preserving explicit Sentry search syntax. Returns grouped issues with metadata like title, status, and user count. Common Query Syntax: - is:unresolved / is:resolved / is:ignored / is:for_review / is:new / is:regressed / is:escalating - level:error / level:warning - firstSeen:-24h / lastSeen:-7d - assigned:me / assigned_or_suggested:me - release:latest - issue.category:feedback - issue.priority:high - environment:production - userCount:>100 DO NOT USE FOR COUNTS/AGGREGATIONS → use search_events DO NOT USE FOR individual events with timestamps → use search_events DO NOT USE FOR details about a specific issue → use get_sentry_resource search_issues(organizationSlug='my-org', query='critical bugs from last week') search_issues(organizationSlug='my-org', query='is:unresolved is:unassigned', sort='freq') search_issues(organizationSlug='my-org', query='level:error firstSeen:-24h', projectSlugOrId='my-project') - If the user passes a parameter in the form of name/otherName, it's likely in the format of /. - Parse org/project notation directly without calling find_organizations or find_projects. - The projectSlugOrId parameter accepts both project slugs (e.g., 'my-project') and numeric IDs (e.g., '123456'). |
| `SENTRY_MCP_SEARCH_SENTRY_TOOLS` | Search sentry tools | Search the available Sentry MCP tool catalog by name and description. Many Sentry operations are intentionally not exposed as top-level tools. Use this for any Sentry-related task when you do not see an obvious direct tool, including long-tail inspection, project management, documentation lookup, preprod snapshots, attachments, DSNs, releases, teams, and issue-specific pivots. Use this tool when you need to: - Find the right Sentry operation for a task - Discover catalog tools and their schemas for a task - Inspect the executable JSON input schema for an available tool search_sentry_tools(query='list projects') search_sentry_tools(query='issue details') search_sentry_tools(query='find dsn', limit=5) search_sentry_tools(query='snapshot image') - Results only include tools available in the current session. - If a Sentry operation is not listed as a direct tool, search here before deciding it is unavailable. - Returned schemas already account for active organization, project, and region constraints. - Use the returned name and schema when executing a catalog result. - This tool returns structured JSON. Do not parse markdown from its text content. |
| `SENTRY_MCP_UPDATE_ISSUE` | Update issue | Update a Sentry issue's status or assignment. Use this to resolve, reopen, assign, or ignore an issue. ``` update_issue(organizationSlug='my-org', issueId='PROJECT-123', status='resolved') update_issue(organizationSlug='my-org', issueId='PROJECT-123', assignedTo='user:123456') update_issue(organizationSlug='my-org', issueId='PROJECT-123', status='ignored') update_issue(organizationSlug='my-org', issueId='PROJECT-123', status='ignored', ignoreMode='forever') update_issue(organizationSlug='my-org', issueId='PROJECT-123', status='ignored', ignoreMode='untilOccurrenceCount', ignoreCount=100, ignoreWindowMinutes=60) update_issue(organizationSlug='my-org', issueId='PROJECT-123', status='ignored', reason='Ignoring because this is expected noise from the staging deploy') ``` - Provide `issueUrl` or `organizationSlug` + `issueId`. - At least one of `status` or `assignedTo` is required. - `assignedTo` format: `user:ID` or `team:ID_OR_SLUG`. - Use `execute_sentry_tool(name='whoami', arguments={})` to find your user ID for self-assignment. - Status values: `resolved`, `resolvedInNextRelease`, `unresolved`, `ignored`. - `status='ignored'` defaults to `ignoreMode='untilEscalating'`. - Ignore modes: `untilEscalating`, `forever`, `forDuration`, `untilOccurrenceCount`, `untilUserCount`. - Matching ignore inputs are `ignoreDurationMinutes`, `ignoreCount` + optional `ignoreWindowMinutes`, or `ignoreUserCount` + optional `ignoreUserWindowMinutes`. - To switch an already ignored issue between `untilEscalating`, `forever`, and condition-based ignore modes, first set `status='unresolved'`, then ignore it again with the new rule. - `reason` is optional. When provided, it will be posted as a comment on the issue's activity feed explaining why the action was taken. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

Once connected, ChatGPT Work can access the Sentry MCP server via Composio to run actions that you authorize, directly in your workspace.

## Complete Code

None listed.

## How to build Sentry MCP Agent with another framework

- [Claude Cowork](https://composio.dev/toolkits/sentry_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/sentry_mcp/framework/hermes-agent)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Sentry MCP?

With a standalone Sentry MCP server, the agents and LLMs can only access a fixed set of Sentry tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Sentry and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with ChatGPT Work?

Yes, you can. ChatGPT Work fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Sentry tools.

### Can I manage the permissions and scopes for Sentry while using Tool Router?

Yes, absolutely. You can configure which Sentry scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Sentry data and credentials are handled as safely as possible.

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