Sentry MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Sentry through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"sentry": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Sentry Agent",
instructions:
"You help users interact with Sentry " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Sentry?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Sentry MCP Server
Equip your favorite LLM interface with direct, real-time investigative access over your application's Sentry operational environments. Skip the grueling task of combing through the rigid crash dashboard visually. Now, your AI can pull up the latest software exceptions directly into Cursor or an MCP-enabled chat window, read the contextual stack trace natively, and even close out resolved bugs.
Mastra's agent abstraction provides a clean separation between LLM logic and Sentry tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Live Crash Monitoring — Query the
list_issuesfunctionality at any time to instantly see which endpoints or functions are currently malfunctioning and throwing fatal alerts - Deep Error Inspection — Feed an
issue_idto the agent viaget_issue_details. The LLM will devour the entire stack trace, evaluate the environmental metadata, and suggest precisely which lines of code need attention - Project & Organization Forensics — Interrogate the AI regarding internal structures (
list_users,list_teams) and easily scan separate software branches or repositories (list_projects) configured in your Sentry silo - Alert Triage (Mutable) — Dictate the agent to close resolved items (
resolve_issue), marking the exception safely as handled without having to load the web interface
The Sentry MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Sentry to Mastra AI via MCP
Follow these steps to integrate the Sentry MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Sentry via MCP
Why Use Mastra AI with the Sentry MCP Server
Mastra AI provides unique advantages when paired with Sentry through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Sentry without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Sentry tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Sentry + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Sentry MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Sentry, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Sentry as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Sentry on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Sentry tools alongside other MCP servers
Sentry MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Sentry to Mastra AI via MCP:
delete_issue
This action is irreversible. Permanently deletes an issue
get_event_details
Retrieves details for a specific event
get_issue_details
Retrieves details for a specific issue
list_events
Lists recent events for a project
list_issues
Lists all issues (errors) in a project
list_organization_teams
Lists all teams in an organization
list_organization_users
Lists all users in an organization
list_organizations
Lists all Sentry organizations
list_projects
Lists all projects in an organization
resolve_issue
This is a reversible side-effect. Resolves an issue in Sentry
Example Prompts for Sentry in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Sentry immediately.
"Enumerate the most recently flared active open errors across the 'frontend-ui' project portal in Sentry."
"Fetch all pertinent internal parameters regarding issue id 6B3VX4921."
"I've deployed a patch fixing the deadlock in db.ts. Mutate this specific issue globally to 'resolved'."
Troubleshooting Sentry MCP Server with Mastra AI
Common issues when connecting Sentry to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSentry + Mastra AI FAQ
Common questions about integrating Sentry MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Sentry with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Sentry to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.