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CrewAIFramework
Why use Kong (AI API Gateway) MCP Server with CrewAI?

Bring Api Gateway
to CrewAI

Create your Vinkius account to connect Kong (AI API Gateway) to CrewAI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Create Ai PluginCreate Consumer KeyCreate RouteCreate ServiceDelete PluginList ConsumersList PluginsList RoutesList ServicesUpdate Plugin
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Kong (AI API Gateway)

What is the Kong (AI API Gateway) MCP Server?

Connect your Kong API Gateway instance to any AI agent and take full control of your API lifecycle and AI traffic management through natural conversation.

What you can do

  • Service Orchestration — List backend services and create new upstream definitions defining URLs and protocols directly from your agent
  • Route Management — Configure inbound routing rules to map client requests to backend services based on specific paths or hostnames
  • AI Plugin Control — Apply and configure the ai-proxy plugin to enable LLM routing, model providers, and key encapsulation securely
  • Operational Patching — Update existing plugin configurations in real-time, allowing you to adjust rate limits or swap AI models dynamically
  • Consumer CRM — Manage consumer profiles and generate API keys for key-auth plugins to track specific user or tenant usage
  • Infrastructure Audit — Discover enabled plugins across your gateway and remove unused modules instantly to maintain a clean proxy pipeline

How it works

  1. Subscribe to this server
  2. Enter your Kong Admin URL and Admin Token
  3. Start managing your API connectivity from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Platform Engineers — manage global gateway configurations and audit enabled plugins through natural conversation
  • Backend Developers — create new services and routes without leaving your terminal or switching to the Kong Manager UI
  • AI Ops Teams — monitor and adjust AI Proxy settings to optimize LLM usage and provider costs across the organization

Built-in capabilities (10)

create_ai_plugin

Frequently used for enabling the `ai-proxy` plugin for LLM routing and key encapsulation. Apply a new Plugin (like AI Proxy) to a specific Service

create_consumer_key

Generate an API Key credential for a Kong Consumer

create_route

Create a new Route to expose a Service in Kong

create_service

The payload must define the upstream URL, name, and protocol information. Create a new backend Service in Kong

delete_plugin

Delete and permanently remove a Plugin from the Kong Gateway

list_consumers

List all Consumer profiles registered in Kong

list_plugins

g., Rate Limiting, AI Proxy, Key Auth) currently configured globally or scoped to specific Services/Routes. List all enabled Plugins on the Kong Gateway

list_routes

List all routing rules configured in the Kong API Gateway

list_services

List all Services registered in the Kong API Gateway

update_plugin

Useful for adjusting rate limits dynamically or swapping AI model providers under heavy load. Update the configuration of an existing Kong Plugin

Why CrewAI?

When paired with CrewAI, Kong (AI API Gateway) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Kong (AI API Gateway) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

  • Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

  • CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the mcps parameter and agents auto-discover every available tool at runtime

  • Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

  • Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

See it in action

Kong (AI API Gateway) in CrewAI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Kong (AI API Gateway) with Vinkius?

The Kong (AI API Gateway) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

Kong (AI API Gateway)
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Kong (AI API Gateway) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Kong (AI API Gateway) and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Kong (AI API Gateway) to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Kong (AI API Gateway) for CrewAI

Every request between CrewAI and Kong (AI API Gateway) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

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

Frequently asked questions

01

Can I use this server to manage Kong's AI Proxy plugin?

Absolutely. The create_ai_plugin tool is specifically designed to inject the ai-proxy plugin onto Services. You can define providers like OpenAI or Anthropic and manage model routing directly through your agent.

02

How do I create a new API route through a conversation?

Use the create_route tool and provide a JSON payload defining the paths and the Service ID it should point to. Your agent will handle the Admin API call to provision the routing rule instantly.

03

Can my agent generate new API keys for consumers?

Yes. The create_consumer_key tool allows you to provision new credentials for specific Consumers. This is perfect for onboarding new tenants or rotating keys for downstream applications securely.

04

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

05

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

06

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

07

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

08

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

09

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

10

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

11

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

12

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

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