Compatible with every major AI agent and IDE
What is the Apache APISIX MCP Server?
Connect your Apache APISIX instance to any AI agent to orchestrate high-performance traffic management through natural language.
What you can do
- Route Orchestration — List, inspect, create, or delete routes to match client requests and forward them to target upstreams.
- Service Abstraction — Manage service entities that group common plugins and upstream configurations for easier API maintenance.
- Upstream Management — Configure virtual host abstractions for load balancing, including node management and health checks.
- Consumer Control — List and manage API consumers to handle authentication and per-user rate limiting.
- Configuration as Conversation — Update complex JSON configurations for any gateway resource without manually using CURL or the Dashboard.
How it works
- Subscribe to this server
- Provide your APISIX Admin URL and Admin Key (X-API-KEY)
- Start managing your microservices infrastructure from Claude, Cursor, or any MCP client
Who is this for?
- DevOps Engineers — quickly audit routing rules and upstream health directly from the terminal or chat.
- Backend Developers — create and test new API routes and service abstractions without leaving the IDE.
- SRE Teams — troubleshoot traffic flow and consumer access issues using natural language queries.
Built-in capabilities (50)
Delete an APISIX Consumer
Delete an APISIX Consumer Group
Delete an APISIX Global Rule
Delete an APISIX Plugin Config
Delete an APISIX Proto
Delete an APISIX Route
Delete an APISIX Service
Delete an APISIX SSL certificate
Delete an APISIX Stream Route
Delete an APISIX Upstream
Memory dump of discovered service endpoints
Dump all plugin metadata from the Control API
Dump all configured Routes from the Control API
Dump all configured Services from the Control API
Dump all configured Upstreams from the Control API
Get a specific APISIX Consumer by username
Get a specific APISIX Consumer Group by ID
Get health status of all upstream nodes
Get health status for a specific resource
Get JSON schemas for all resources and enabled plugins
Get a specific APISIX Global Rule by ID
Get a specific APISIX Plugin Config by ID
Get a specific APISIX Proto by ID
Get a specific APISIX Route by ID
Get a specific APISIX Service by ID
Get a specific APISIX SSL certificate by ID
Get a specific APISIX Stream Route by ID
Get a specific APISIX Upstream by ID
List APISIX Consumer Groups
List APISIX Consumers
List APISIX Global Rules
List APISIX Plugin Configs
List APISIX Protos (Protocol Buffers)
List APISIX Routes
List APISIX Services
List APISIX SSL certificates
List APISIX Stream Routes (L4 routing)
List APISIX Upstreams
Create or update an APISIX Consumer
Create or update an APISIX Consumer Group
Create or update an APISIX Global Rule
Create or update an APISIX Plugin Config
Create or update an APISIX Proto
Create or update an APISIX Route
Create or update an APISIX Service
Create or update an APISIX SSL certificate
Create or update an APISIX Stream Route
Create or update an APISIX Upstream
Trigger a hot reload of plugins
Trigger full garbage collection in the HTTP Lua VM
Why CrewAI?
When paired with CrewAI, Apache APISIX becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Apache APISIX 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
mcpsparameter 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
Apache APISIX in CrewAI
Apache APISIX and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Apache APISIX to CrewAI 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Apache APISIX in CrewAI
The Apache APISIX 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 50 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI 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.

* 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
How Vinkius secures
Apache APISIX for CrewAI
Every tool call from CrewAI to the Apache APISIX MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I update a route's configuration directly through the AI?
Yes. Use the put_route tool by providing the Route ID and the new configuration JSON. The agent will interface with the APISIX Admin API to apply the changes immediately.
How do I list all the backend upstreams configured in my gateway?
Simply ask the agent to 'list upstreams'. It will trigger the list_upstreams tool and return a detailed list of all virtual hosts and load balancer nodes.
Is it possible to delete a service that is no longer needed?
Yes, you can use the delete_service tool. Provide the specific Service ID, and the agent will remove the resource from your APISIX configuration.
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.
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.
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.
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.
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.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
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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