Keywords AI Connector for AI agents.
11 live capabilities
Monitor LLM costs and performance metrics in real time.
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Why people use Keywords AI
Keywords AI LLM Cost Management for Developers
Keywords AI puts all that data into a single place. Your agent can pull your credit balance, check request logs, and summarize your usage stats in seconds. You get a clear picture of your AI spend without the manual headache.
What Vinkius changes
You get a unified dashboard for all your LLM costs and performance metrics.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Budget Audit
A manager asks the agent to summarize the total cost for a specific model last week to see if it fits the department budget.
- Real-world use case 02
Latency Check
A developer wants to see if a new model is slower than the old one and compares their performance metrics side by side.
- Real-world use case 03
Team Management
An admin needs to see who has been active on the platform to audit access and manage team permissions.
Complete set · 11capabilities
The complete Keywords AI capability set.
These are the exact actions your AI can choose when you ask it to work with Keywords AI.
01—04
4 capabilities in this set.
Part of 11 available through Keywords AI.
- 01 Capability
Get analytics
Pull up your analytics dashboard to see high-level trends. It's perfect for getting a quick snapshot of your performance.
- 02 Capability
Get credits
Check your current credit balance instantly. This helps you stay on top of your budget without leaving your workspace.
- 03 Capability
Get request
Get the specific details of a single API call. It's useful for debugging a weird response or checking a specific token count.
- 04 Capability
Get user
Retrieve specific details about a team member. Use this when you need to verify a user's identity or permissions.
05—08
4 capabilities in this set.
Part of 11 available through Keywords AI.
- 05 Capability
List alerts
Review your current monitoring thresholds and alerts. This lets you see what's being tracked and what triggers a notification.
- 06 Capability
List users
See a list of everyone on your team who has access. It makes managing your team's permissions much faster.
- 07 Capability
Get usage stats
Pull your overall usage statistics for a broader view of your activity. This helps you see how much you're actually using your resources.
- 08 Capability
List models
Browse the full catalog of available LLM models. It helps you see what options you have for your next project.
09—11
3 capabilities in this set.
Part of 11 available through Keywords AI.
- 09 Capability
List requests by model
Filter your request logs by a specific model. This is the best way to see how one specific model is performing compared to others.
- 10 Capability
List requests
Pull a full list of your API request logs. Use this to audit every interaction your AI agent has made with the gateway.
- 11 Capability
Check keywordsai status
Use this to see if your connection to the platform is active. It's the quickest way to verify your API is reachable.
Set up in minutes
One URL. Then ask Keywords AI to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Keywords AI 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_R4VkEIrwLVvP7dLw0Fdy9vfjO7WqxWYeI2hDwlBU/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 Keywords AI, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Keywords AI for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_R4VkEIrwLVvP7dLw0Fdy9vfjO7WqxWYeI2hDwlBU/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 Keywords AI URL.
- Step 03
Save and start
Save the connection and enable Keywords AI in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"keywords-ai": {
"url": "https://edge.vinkius.com/vk_preview_R4VkEIrwLVvP7dLw0Fdy9vfjO7WqxWYeI2hDwlBU/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 Keywords AI
Open Agent mode in chat and ask: "Using Keywords AI, help me...". 11 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"keywords-ai": {
"url": "https://edge.vinkius.com/vk_preview_R4VkEIrwLVvP7dLw0Fdy9vfjO7WqxWYeI2hDwlBU/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 Keywords AI
Ask Copilot: "Using Keywords AI, help me...". 11 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"keywords-ai": {
"url": "https://edge.vinkius.com/vk_preview_R4VkEIrwLVvP7dLw0Fdy9vfjO7WqxWYeI2hDwlBU/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 Keywords AI
Open Cascade and ask: "Using Keywords AI, help me...". 11 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"keywords-ai": {
"url": "https://edge.vinkius.com/vk_preview_R4VkEIrwLVvP7dLw0Fdy9vfjO7WqxWYeI2hDwlBU/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 Keywords AI
Ask Cline: "Using Keywords AI, help me...". 11 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add keywords-ai --transport http "https://edge.vinkius.com/vk_preview_R4VkEIrwLVvP7dLw0Fdy9vfjO7WqxWYeI2hDwlBU/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 Keywords AI
Ask Claude: "Using Keywords AI, show me...". 11 tools are ready
Where the request belongs
Work Keywords AI can move forward.
This is for AI ops engineers who are tired of manual cost tracking and product managers who need to justify AI spend to their leadership.
AI Ops Engineer
Uses this to set up automated alerts and monitor production latency across different LLM providers.
Product Manager
Uses this to pull cost trends and performance data to decide which models to use for new features.
DevOps Lead
Uses this to manage team permissions and audit API request logs for security and budget control.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsPortkey
AI gateway observability: monitor logs, costs, and manage LLM configurations via agents.
LiteLLM (LLM Proxy & Spend Tracking)
Manage your LLM gateway via LiteLLM. generate API keys, track spending, and orchestrate model fallback paths.
Helicone (LLM Observability)
Monitor LLM usage via Helicone. track requests, analyze costs, measure latency, and manage prompts.
LangSmith
Observability and evaluation platform for LLM applications. monitor traces, debug agent runs, and track performance metrics across your AI stack.
Anthropic
Interact with Claude models via the Anthropic Messages API. send prompts, manage batches, and monitor rate limits directly.
LLM API Cost Calculator
Estimate and compare the financial impact of LLM usage across different providers.
Bring your own AI
Change the model, client or framework. Keep Keywords AI connected.
-
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 Keywords AI.
The practical details behind the request, access and result.
How does Keywords AI help me save money on LLM APIs?
It tracks your spending across all providers in one place, making it easy to spot high-cost models and prevent budget overages.
Can I use Keywords AI to see my team's usage?
Yes, you can list all team users and see their activity to manage permissions and monitor how your team is interacting with models.
What kind of analytics can I get with Keywords AI?
You can see cost trends, latency metrics, and error rates for all your requests across different providers.
Can Keywords AI alert me when I'm running low on credits?
Yes, it lets you review and set up monitoring thresholds for your usage so you can get notified before you run out.
Does Keywords AI support multiple model providers?
It works as a unified gateway to track any LLM provider you connect to the platform, giving you a single view of your entire stack.
How do I check if my API connection is working?
You can ask your agent to verify the connection status instantly to ensure your gateway is reachable and active.
Can my AI track LLM costs?
Yes. get_credits shows your balance, get_usage_stats breaks down costs by model and time period.
Can I filter request logs by model?
Yes. list_requests_by_model returns only requests made to a specific LLM.
What analytics are available?
get_analytics provides cost trends, latency percentiles, error rates, and token usage over time.
One connection away
Give your agent a direct line to Keywords AI.
Connect Keywords AI once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available