3,400+ MCP servers ready to use
Vinkius
O

Bring Llm Observability
to OpenAI Agents SDK

Learn how to connect Keywords AI to OpenAI Agents SDK 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 OpenAI Agents SDK?

The OpenAI Agents SDK auto-discovers all 11 tools from Keywords AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Keywords AI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

  • —

    Native MCP integration via MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety

  • —

    Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

  • —

    Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

  • —

    First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

O
See it in action

Keywords AI in OpenAI Agents SDK

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 OpenAI Agents SDK 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 OpenAI Agents SDK →
Enterprise Security

Why teams choose Vinkius for Keywords AI in OpenAI Agents SDK

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 OpenAI Agents SDK 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 OpenAI Agents SDK

Every tool call from OpenAI Agents SDK 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 does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

05

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

06

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

07

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

08

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.