Can I check the stability trend for a project using the agent?

Yes! Use the `get_project_stats` tool with the Project ID. Your agent will fetch the error trends and statistics, allowing you to monitor health over time.

How do I list the top errors for my application?

Simply ask the agent to `list_errors` and provide the Project ID. It will retrieve the error groups from your BugSnag account, including messages and event counts.

Does the integration allow inspecting a specific error occurrence?

Yes. Use the `get_event` tool with the Event ID. It will retrieve the full details for that specific occurrence, which is helpful for deep debugging.

BugSnag MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: BugSnag
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect BugSnag through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "bugsnag": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using BugSnag, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 BugSnag MCP Server

Connect your BugSnag account to any AI agent and orchestrate your error monitoring, stability tracking, and incident response workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with BugSnag through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Organization Oversight — List all your organizations and projects to maintain visibility across your entire tech stack.
Error Management — List and inspect error groups for specific projects, including error classes, severity, and frequency.
Event Deep Dives — Retrieve individual error events and occurrence details to debug issues faster.
Team Coordination — Access your directory of collaborators and release stages to ensure everyone is aligned.
Stability Insights — Retrieve error trends and statistics to monitor the health of your applications over time.
Incident Response — Get detailed metadata for specific error or event IDs straight from your workspace.

The BugSnag MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 BugSnag to LangChain via MCP

Follow these steps to integrate the BugSnag MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from BugSnag via MCP

Why Use LangChain with the BugSnag MCP Server

LangChain provides unique advantages when paired with BugSnag through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine BugSnag MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across BugSnag queries for multi-turn workflows

BugSnag + LangChain Use Cases

Practical scenarios where LangChain combined with the BugSnag MCP Server delivers measurable value.

RAG with live data: combine BugSnag tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query BugSnag, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain BugSnag tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every BugSnag tool call, measure latency, and optimize your agent's performance

BugSnag MCP Tools for LangChain (10)

These 10 tools become available when you connect BugSnag to LangChain via MCP:

get_error

Get details of a specific error group

get_event

Get details of a specific error event

get_project

Get details of a specific project

get_project_stats

Get error trends and statistics for a project

list_collaborators

List collaborators in an organization

list_errors

List error groups for a project

list_events

List individual error events for a project

list_organizations

List all organizations you have access to

list_projects

List all projects in an organization

list_release_stages

List release stages configured for a project

Example Prompts for BugSnag in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with BugSnag immediately.

"List all my projects in BugSnag for organization org_123."

"Show the last 5 errors for the 'Web Dashboard' project."

"Get details for error group err_99283."

Troubleshooting BugSnag MCP Server with LangChain

Common issues when connecting BugSnag to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

BugSnag + LangChain FAQ

Common questions about integrating BugSnag MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.