HyperDX (Open Source Observability) Connector for AI agents.
7 live capabilities
Query logs and manage alerts in your observability stack.
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Why people use HyperDX (Open Source Observability)
HyperDX Observability for Faster Incident Response
With HyperDX, you just tell your agent what's wrong. It pulls the logs, checks the alert status, and gives you the highlights in one place. You get a clear picture of the problem without the tab-hopping.
What Vinkius changes
HyperDX provides a conversational interface for your entire observability stack.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Debugging a failed auth request
A developer asks the agent to find all logs for the auth service from the last 10 minutes to see why a user can't log in.
- Real-world use case 02
Setting up a new high-traffic alert
An SRE tells the agent to create a new alert that triggers if error rates exceed 50 in a 5-minute window.
- Real-world use case 03
Checking system health during a deploy
A DevOps engineer asks the agent to list all dashboards and then check the status of the main health dashboard.
Complete set · 7capabilities
The complete HyperDX (Open Source Observability) capability set.
These are the exact actions your AI can choose when you ask it to work with HyperDX (Open Source Observability).
01—04
4 capabilities in this set.
Part of 7 available through HyperDX (Open Source Observability).
- 01 Capability
List events
HyperDX uses this to pull structured logs or spans using query filters. It helps you find specific events quickly.
- 02 Capability
Get dashboard
HyperDX uses this to show the specific details and metrics for a single dashboard. It gives you a deep look at one view.
- 03 Capability
List logs
HyperDX uses this to retrieve a list of logs based on search criteria like error levels or service names. It simplifies log hunting.
- 04 Capability
List alerts
HyperDX uses this to return a full list of all alert rules currently configured in your instance. It helps you audit your monitoring.
05—07
3 capabilities in this set.
Part of 7 available through HyperDX (Open Source Observability).
- 05 Capability
Create alert
HyperDX uses this to set up a new alert rule based on your specific requirements. You can build new monitors using natural language.
- 06 Capability
List dashboards
HyperDX uses this to fetch all dashboards available within your organization. It gives you a quick overview of all your views.
- 07 Capability
Delete alert
HyperDX uses this to remove a specific alert rule from your system using its unique ID. It helps you keep your alerts clean.
Set up in minutes
One URL. Then ask HyperDX (Open Source Observability) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use HyperDX (Open Source Observability) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_lc01BEQeS86qzu5Tsala3mRU7FKVPIY7tYMD90oU/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it HyperDX (Open Source Observability), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable HyperDX (Open Source Observability) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_lc01BEQeS86qzu5Tsala3mRU7FKVPIY7tYMD90oU/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the HyperDX (Open Source Observability) URL.
- Step 03
Save and start
Save the connection and enable HyperDX (Open Source Observability) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"hyperdx-open-source-observability": {
"url": "https://edge.vinkius.com/vk_preview_lc01BEQeS86qzu5Tsala3mRU7FKVPIY7tYMD90oU/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using HyperDX (Open Source Observability)
Open Agent mode in chat and ask: "Using HyperDX (Open Source Observability), help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"hyperdx-open-source-observability": {
"url": "https://edge.vinkius.com/vk_preview_lc01BEQeS86qzu5Tsala3mRU7FKVPIY7tYMD90oU/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using HyperDX (Open Source Observability)
Ask Copilot: "Using HyperDX (Open Source Observability), help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"hyperdx-open-source-observability": {
"url": "https://edge.vinkius.com/vk_preview_lc01BEQeS86qzu5Tsala3mRU7FKVPIY7tYMD90oU/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using HyperDX (Open Source Observability)
Open Cascade and ask: "Using HyperDX (Open Source Observability), help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"hyperdx-open-source-observability": {
"url": "https://edge.vinkius.com/vk_preview_lc01BEQeS86qzu5Tsala3mRU7FKVPIY7tYMD90oU/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using HyperDX (Open Source Observability)
Ask Cline: "Using HyperDX (Open Source Observability), help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add hyperdx-open-source-observability --transport http "https://edge.vinkius.com/vk_preview_lc01BEQeS86qzu5Tsala3mRU7FKVPIY7tYMD90oU/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using HyperDX (Open Source Observability)
Ask Claude: "Using HyperDX (Open Source Observability), show me...". 7 tools are ready
Where the request belongs
Work HyperDX can move forward.
This is for the DevOps engineer who's tired of clicking through ten different dashboards at 3am to find one specific error. It's for the SRE who needs to manage alerts without manual overhead.
DevOps Engineer
Investigates production errors by asking the agent to pull logs for specific service IDs on a Tuesday afternoon.
SRE
Manages alert thresholds and creates new rules during high-pressure incident response to keep the system stable.
Software Developer
Checks error rates for their specific features while staying inside their code editor to maintain focus.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsGrafana
Manage observability via Grafana. search and inspect dashboards, monitor alerts, and handle data sources directly from any AI agent.
Axiom
Manage logs and observability data via Axiom. ingest data, run APL queries, and manage datasets or monitors directly from any AI agent.
Sumo Logic
Manage logs, metrics, and collectors via Sumo Logic. run search jobs, monitor infrastructure, and manage collectors directly from any AI agent.
Coralogix
Manage observability, logs, and parsing rules via Coralogix. ingest logs, monitor SLOs, and control Grafana dashboards directly.
SigNoz (Datadog Alternative)
Monitor infrastructure and manage alert rules via SigNoz. list, create, and update observability alerts directly from your AI agent.
Datadog
Monitor infrastructure, applications, and logs with unified observability that gives you full-stack visibility in real time.
Bring your own AI
Change the model, client or framework. Keep HyperDX connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about HyperDX.
The practical details behind the request, access and result.
Can I use HyperDX MCP to find specific errors?
Yes, you can ask your agent to search for logs based on error levels or specific services. It'll pull the relevant data so you don't have to dig through everything yourself.
How does HyperDX MCP help with incident response?
It lets you query logs and check alert rules in real time. You can get a summary of what's happening during an outage without leaving your chat window.
Can I manage my alerts using HyperDX MCP?
You can create, list, and delete alert rules using plain English. This makes it much easier to keep your monitoring updated as your infrastructure changes.
Will HyperDX MCP show me my dashboards?
Yes, your agent can list all your dashboards and then pull the specific details for any one you choose. It's a great way to get a quick status update.
Does HyperDX MCP support time-based filtering?
It does. You can ask your agent to look at data from the last 15 minutes, the last hour, or any specific timestamp you provide.
Is HyperDX MCP good for DevOps teams?
It's a huge time saver for DevOps and SRE teams who need to monitor system health and debug logs quickly during high-pressure situations.
Can I search for specific errors in my logs using this server?
Yes! Use the list_logs capability with a query like level:error. You can also specify a time range using the from parameter (e.g., '1h' or '24h') to narrow down the results.
How do I set up a new alert for a specific service?
You can use the create_alert capability. You'll need to provide a name, the search query (e.g., service:auth level:error), a threshold value, the type of alert (like 'count'), and the evaluation interval (e.g., '5m').
Is it possible to delete an alert rule if it's no longer needed?
Yes, simply use the delete_alert capability and provide the unique ID of the alert rule you wish to remove.
One connection away
Give your agent a direct line to HyperDX.
Connect HyperDX once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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