# Keywords AI MCP for AI Agents AI Agent Connect

> Keywords AI lets you monitor and optimize your LLM API usage with a unified gateway that tracks costs, latency, and model performance across providers. It helps you manage your team, set up alerts for high usage, and get a clear view of your request logs so you can see exactly how your AI agents are spending your budget.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_R4VkEIrwLVvP7dLw0Fdy9vfjO7WqxWYeI2hDwlBU/ai-agent-connect
- **Tags:** llm-observability, api-gateway, cost-tracking, model-performance, latency-monitoring, usage-analytics

## Description

Keywords AI lets you monitor and optimize your LLM API usage with a unified gateway that tracks costs, latency, and model performance across providers. Managing multiple LLM providers usually means jumping between different dashboards to figure out which models are actually performing well and how much they're costing you. Keywords AI changes that by giving your AI agent a direct line into your usage data. Instead of guessing which model is the most cost-effective for a specific task, you can ask your agent to pull up real-time analytics or check your remaining credit balance. It makes it possible to spot latency spikes or high error rates before they impact your users. You can also manage your team's access and keep tabs on everyone's activity from a single interface. By connecting this Connector through the Vinkius catalog, you're giving your agent the eyes it needs to keep your AI operations lean and profitable. It's about moving from "I think we're overspending" to "I know exactly what we spent on these specific requests."

## Tools

### get_analytics
Pull up your analytics dashboard to see high-level trends. It's perfect for getting a quick snapshot of your performance.

### get_credits
Check your current credit balance instantly. This helps you stay on top of your budget without leaving your workspace.

### 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.

### get_user
Retrieve specific details about a team member. Use this when you need to verify a user's identity or permissions.

### list_alerts
Review your current monitoring thresholds and alerts. This lets you see what's being tracked and what triggers a notification.

### list_users
See a list of everyone on your team who has access. It makes managing your team's permissions much faster.

### 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.

### list_models
Browse the full catalog of available LLM models. It helps you see what options you have for your next project.

### 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.

### 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.

### 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.

## Prompt Examples

**Prompt:** 
```
How much credit do I have left?
```

**Response:** 
```
You have **0.50** credits remaining. Your total usage this month is **0.80**, with **GPT-4** being your highest-cost model.
```

**Prompt:** 
```
Show me the latency for my last 50 requests.
```

**Response:** 
```
Here are the stats for your last 50 requests:

- **Average Latency**: 1.2s
- **Success Rate**: 98.2%
- **Total Tokens**: 42,500

*Note: Latency peaked at 2.1s during the mid-day batch.*
```

**Prompt:** 
```
Who on my team has been active today?
```

**Response:** 
```
I found 3 active users:

- **Alex Chen** (Last active 5m ago)
- **Jordan Smith** (Last active 1h ago)
- **Sarah Lee** (Last active 3h ago)
```

## Capabilities

### Track credit balances
See exactly how much money is left in your account at any time.

### Pull request logs
Access a history of every API call made by your agents.

### Monitor latency
Identify which models are responding slowly in real time.

### View team activity
See who on your team is using the platform and what they're doing.

### Set usage alerts
Get notified automatically when you hit specific spending or usage limits.

### Browse LLM models
See the full catalog of models available through your gateway.

## Use Cases

### 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.

### 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.

### Team Management
An admin needs to see who has been active on the platform to audit access and manage team permissions.

### Credit Check
A developer wants to know if they have enough balance left before starting a large batch job to avoid mid-process failures.

## Benefits

- Stop overspending on LLM APIs by monitoring your budget in real-time.
- Identify slow models quickly by viewing latency trends across different providers.
- Debug failed requests faster by seeing exact error codes and token counts.
- Manage your team's AI usage more effectively by seeing who is accessing which models.
- Prevent budget surprises by setting up notifications for high-usage spikes.
- Optimize your model selection by seeing every available option in one place.

## How It Works

The bottom line is you get a unified dashboard for all your LLM costs and performance metrics.

1. Connect your Keywords AI account to your preferred AI client.
2. Grant the Connector permission to access your usage and analytics data.
3. Ask your agent to summarize costs, check status, or list recent requests.

## Frequently Asked Questions

**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.