Sentry Connector for AI Agents

Give agents tools for secure, real-time access to fetch, search, write, and sync across every system, with replication, entity mapping, and auth built-in.

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community members
6,000+
daily active companies
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synced/month
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contributors

About this Connector

Connector for the Sentry error monitoring and performance tracking API. Provides access to projects, issues, events, and releases within your Sentry organization.

CRM

Sales Analytics

Customer Data

error monitoring, application performance, developer tools

Version Information

Package version

0.1.1

Connector version

1.0.1

SDK commit

44677ecbb4b815bb4fb2a54c6e5339681bcf36a8

Support Open Source

Check us out on Github and join the Airbyte community

Github

Installation & Usage

Get started with the Sentry connector in minutes

1

Install Package

Using uv or pip

bash

Copy
uv pip install airbyte-agent-sentry

2

Import

Initialize and use

python

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from airbyte_agent_sentry import SentryConnector
from airbyte_agent_sentry.models import SentryAuthConfig

connector = SentryConnector(
    auth_config=SentryAuthConfig(
        auth_token="<Sentry authentication token. Log into Sentry and create one at Settings > Account > API > Auth Tokens.>"
    )
)

3

Tool

Add tools to your agent

python

Copy
@agent.tool_plain # assumes you're using Pydantic AI
@SentryConnector.tool_utils
async def sentry_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Supported Entities & Actions

Access all your Sentry data through a unified API

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| Entity | Actions |\n|--------|---------|\n| Projects | [List](./REFERENCE.md#projects-list), [Get](./REFERENCE.md#projects-get), [Search](./REFERENCE.md#projects-search) |\n| Issues | [List](./REFERENCE.md#issues-list), [Get](./REFERENCE.md#issues-get), [Search](./REFERENCE.md#issues-search) |\n| Events | [List](./REFERENCE.md#events-list), [Get](./REFERENCE.md#events-get), [Search](./REFERENCE.md#events-search) |\n| Releases | [List](./REFERENCE.md#releases-list), [Get](./REFERENCE.md#releases-get), [Search](./REFERENCE.md#releases-search) |\n| Project Detail | [Get](./REFERENCE.md#project-detail-get) |

Example Prompts

The Sentry connector is optimized to handle prompts like these

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List all projects in my Sentry organization - Show me the issues for a specific project - List recent events from a project - Show me all releases for my organization - Get the details of a specific project - What are the most common unresolved issues? - Which projects have the most events? - Show me issues that were first seen this week - Find releases created in the last month

Why Airbyte for AI Agents?

Built for production AI workloads with enterprise-grade reliability

Agent-Native Design

Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.

Secure Authentication

Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.

Production Ready

Battle-tested connectors with comprehensive error handling, logging, and retry logic.

Open Source

Fully open source under the MIT license. Contribute, customize, and extend freely.

Works with your favorite frameworks

Use the Sentry connector with any AI agent framework

🦜

LangChain

🦙

LlamaIndex

🤖

CrewAI

AutoGen

🧠

OpenAI Agents SDK

🔮

Claude Agents SDK

Frequently Asked Questions

Didn't find your answer? Please don't hesitate to reach out.

How do I authenticate with Sentry?

The Sentry connector supports two authentication methods: Open source mode, where you provide a Sentry authentication token directly (created at Settings > Account > API > Auth Tokens in Sentry), and Hosted mode, where credentials are stored securely in Airbyte Cloud and you authenticate using your Airbyte client ID and client secret.

Can I use this connector with any AI agent framework?

The connector is compatible with any Python-based AI agent framework including LangChain, LlamaIndex, CrewAI, Pydantic AI, and custom implementations.

Does this connector support write operations?

The Sentry connector currently supports read operations only. Write operations such as creating projects, deleting issues, updating releases, or resolving issues in a project are not supported at this time.

How is this different from the Airbyte data connector?

Agent connectors are specifically designed for AI agents and LLM applications. They provide natural language interfaces, optimized response formats, and seamless integration with agent frameworks, unlike traditional ETL-focused connectors.

Will there be a platform for agent connectors?

The hosted version with secure credential storage through Airbyte Cloud is already available. See the hosted usage section in the documentation for setup instructions.

20,000+
community members
6,000+
daily active companies
2PB+
synced/month
900+
contributors