
Connect Axiom to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run complex queries and manage infrastructure directly from your chat client.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 31 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 31 available through Axiom.
- 01
Create dashboard
Builds a new dashboard within Axiom so you can visualize specific metrics.
- 02
Create dataset
Sets up a new dataset to store and organize your telemetry or infrastructure data.
- 03
Create notifier
Establishes a new notification rule so you get alerted when specific conditions are met.
- 04
Delete dataset
Removes an existing dataset when you no longer need to store its data.
05-08
4 capabilities in this set.
Part of 31 available through Axiom.
- 05
Get user
Retrieves the details for a specific user account using their ID.
- 06
List annotations
Shows a list of all annotations currently applied to your data.
- 07
List dashboards
Retrieves a list of all dashboards available in your Axiom account.
- 08
List datasets
Shows all the datasets you have created in Axiom.
09-12
4 capabilities in this set.
Part of 31 available through Axiom.
- 09
List notifiers
Lists all the notification rules you have set up.
- 10
List users
Returns a list of all user accounts associated with your organization.
- 11
Delete notifier
Deletes a notification rule after it's no longer needed.
- 12
Delete monitor
Removes a specific system monitor that is checking for performance issues.
13-16
4 capabilities in this set.
Part of 31 available through Axiom.
- 13
Get notifier
Retrieves the full details of one specific notification rule by its ID.
- 14
Get monitor
Fetches the current status and details for a specific system monitor.
- 15
Get org
Retrieves the core details for your entire organization account.
- 16
Create annotation
Adds a new annotation to mark a specific event or trend in your data.
17-20
4 capabilities in this set.
Part of 31 available through Axiom.
- 17
Create monitor
Sets up a new monitor to watch for performance issues or errors.
- 18
Delete annotation
Removes an annotation you previously added to the data.
- 19
Delete dashboard
Deletes an entire dashboard when it's no longer useful.
- 20
Get annotation
Retrieves the details of a specific annotation by its ID.
21-24
4 capabilities in this set.
Part of 31 available through Axiom.
- 21
Get dashboard
Fetches the full details of a specific dashboard using its unique ID.
- 22
Get dataset
Retrieves the metadata and status for a specific dataset.
- 23
Ingest data
Takes raw JSON, NDJSON, or CSV data and loads it into a specified Axiom dataset.
- 24
List monitors
Shows a list of all active system monitors running in your account.
25-28
4 capabilities in this set.
Part of 31 available through Axiom.
- 25
List tokens
Lists all API tokens associated with your organization for security review.
- 26
Update monitor
Modifies the parameters or schedule of an existing system monitor.
- 27
Run query
Executes a complex APL query against your stored Axiom data to find specific insights.
- 28
Update annotation
Changes the details or scope of an annotation you previously created.
29-31
3 capabilities in this set.
Part of 31 available through Axiom.
- 29
Update dashboard
Modifies the layout or widgets on an existing dashboard.
- 30
Update dataset
Updates the settings or schema of an existing dataset.
- 31
Update notifier
Changes the trigger conditions or recipients for a notification rule.
Real work
What teams actually run
Debugging a Production Outage
You ask the agent to run an APL query on the 'production-logs' dataset, instantly counting error events and identifying the time window of the failure.
Auditing User Permissions
You request a list of all users and API tokens, allowing you to verify who has access and if any tokens need rotation.
Setting Up New Alerts
You instruct the agent to create a new monitor that triggers an alert if API response times exceed a certain threshold.
Analyzing Historical Trends
You ingest a large CSV file of quarterly metrics and ask the agent to create a new dataset and generate a dashboard visualizing the trends.
Automate a task
Put Axiom to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
Axiom works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Axiom to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
1158ms average. Fast in production.
Axiom is checked daily against the live service.
- Fastest day
- 865ms
- Slowest day
- 1313ms
- 14-day trend
- Slowing+5%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 31 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Axiom, so you can see the experience inside your AI.
It does not authenticate your account with Axiom. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Axiom Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_e61fohuL5myEGCp75T44EWD2aXWWhlKb6QKmFZpL/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Axiom capabilities are ready to use.
{
"mcpServers": {
"axiom-mcp": {
"url": "https://edge.vinkius.com/vk_preview_e61fohuL5myEGCp75T44EWD2aXWWhlKb6QKmFZpL/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up Axiom in Claude and other AIs
Who it's for
Built for the work Axiom owners hand off.
This MCP is built for technical teams that live in the command line or chat window. If your job requires analyzing massive amounts of log data, tracking system performance, or debugging complex production issues, this connector lets your AI agent handle the heavy lifting. You get immediate answers without context switching.
- 01
DevOps Engineers
You use this MCP to instantly query logs for errors, check monitor statuses, and manage alerts without leaving your chat or terminal.
- 02
Software Engineers
You debug production issues by running APL queries directly from your code editor to find specific trace IDs or logs.
- 03
Data Analysts
You ingest and analyze large, unstructured datasets using Axiom's processing language through simple natural language prompts.
FAQ
Questions Axiom owners ask.
- 01
Do I need to use a terminal to run queries?
No. This MCP lets you run complex APL queries and manage logs directly from your chat client or code editor. Your AI agent handles the communication with Axiom, so you never have to leave your primary workspace.
- 02
What kind of data can I ingest?
You can ingest data in JSON, NDJSON, or CSV formats. This allows you to load various types of telemetry and infrastructure data into Axiom datasets for analysis.
- 03
What is APL, and why do I need it?
APL is Axiom Processing Language. It's a powerful, specialized language that lets you run complex queries against your logs. Using it gives you much more detail than simple text searches.
- 04
Can I set up alerts using this MCP?
Yes. You can use the capabilities to create and manage monitors and notifiers. You tell the agent what condition to watch for, and it sets up the alert in Axiom.
- 05
Is this only for DevOps teams?
No. While it's perfect for SREs and DevOps, data analysts can also use it. You can ingest and analyze large datasets using the same powerful processing language.
- 06
Can I run complex log analysis using Axiom Processing Language (APL)?
Yes! Use the run_query capability to execute any APL string. You can specify start_time and end_time to filter your data and get precise analytical results directly in the chat.
- 07
How do I send new log data to my Axiom datasets?
You can use the ingest_data capability. Simply provide the dataset_name, the data payload, and the content_type (JSON, NDJSON, or CSV) to stream data into your Axiom account.
- 08
Is it possible to manage system monitors and alerts through this integration?
Absolutely. You have access to a full suite of capabilities including list_monitors, create_monitor, and update_monitor to configure threshold or anomaly detection alerts based on your APL queries.
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Connect Axiom to Claude, Cursor, ChatGPT & more
