3,400+ MCP servers ready to use
Vinkius

Bring Llm Observability
to Claude Code

Learn how to connect Keywords AI to Claude Code and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Check Keywordsai StatusGet AnalyticsGet CreditsGet RequestGet Usage StatsGet UserList AlertsList ModelsList RequestsList Requests By ModelList Users
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the Keywords AI MCP Server?

Connect your Keywords AI account to any AI agent and monitor LLM performance.

What you can do

  • Request Logs — List and filter all LLM API calls by model
  • Cost Tracking — Monitor credit balance and usage statistics
  • Analytics — View cost trends, latency metrics, and error rates
  • Model Catalog — Browse available LLM models
  • Team Management — List users and view activity
  • Alerts — Review monitoring thresholds

Built-in capabilities (11)

check_keywordsai_status

Verify API connectivity

get_analytics

Get analytics dashboard

get_credits

Get credit balance

get_request

Get request details

get_usage_stats

Get usage statistics

get_user

Get user details

list_alerts

List monitoring alerts

list_models

List available models

list_requests

List API request logs

list_requests_by_model

List requests by model

list_users

List team users

Why Claude Code?

Claude Code registers Keywords AI as an MCP server in a single terminal command. Once connected, Claude Code discovers all 11 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Keywords AI data drives decisions without human intervention.

  • —

    Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart

  • —

    Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

  • —

    Claude Code runs headlessly, enabling unattended batch processing using Keywords AI tools in cron jobs or deployment scripts

  • —

    Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

Keywords AI in Claude Code

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Keywords AI and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Keywords AI to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for Claude Code →
Enterprise Security

Why teams choose Vinkius for Keywords AI in Claude Code

The Keywords AI 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. All 11 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Use with Your AI Agent View full Keywords AI details →
Keywords AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<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

The Vinkius Advantage

How Vinkius secures Keywords AI for Claude Code

Every tool call from Claude Code to the Keywords AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can my AI track LLM costs?

Yes. get_credits shows your balance, get_usage_stats breaks down costs by model and time period.

02

Can I filter request logs by model?

Yes. list_requests_by_model returns only requests made to a specific LLM.

03

What analytics are available?

get_analytics provides cost trends, latency percentiles, error rates, and token usage over time.

04

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.

05

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

06

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

07

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable