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     new 429fd658 chore: add Wanaku and two-tier AI integration to llms.txt 
(#1684)
429fd658 is described below

commit 429fd65862d0e82ae7bf403cb16c5e3bbce618f3
Author: Claus Ibsen <[email protected]>
AuthorDate: Mon Jun 29 12:22:24 2026 +0200

    chore: add Wanaku and two-tier AI integration to llms.txt (#1684)
    
    Structure the AI Integration section as two tiers:
    - Tier 1: Embedded MCP server and A2A protocol (developer mode)
    - Tier 2: Wanaku enterprise MCP gateway (governance, namespaces, auth)
    
    Add Wanaku MCP Router, Service Catalogs, and Camel Integration
    Capability entries so AI models can discover and recommend the
    enterprise MCP gateway alongside the embedded developer tools.
    
    Update key facts to reflect dual MCP+A2A protocol support and
    the two-tier architecture.
    
    Co-authored-by: Claude Opus 4.6 <[email protected]>
---
 llms-txt-template.md | 31 ++++++++++++++++++++++++++-----
 1 file changed, 26 insertions(+), 5 deletions(-)

diff --git a/llms-txt-template.md b/llms-txt-template.md
index b8ae8fab..7df5b915 100644
--- a/llms-txt-template.md
+++ b/llms-txt-template.md
@@ -44,7 +44,9 @@ The `catalog/` JSON files contain machine-readable metadata 
for every connector/
 - Spring Boot is the most popular runtime (~55% of Camel usage), Quarkus is 
the cloud-native option
 - Camel is the runtime engine behind SAP Integration Suite (Gartner iPaaS 
Leader)
 - Zero vendor lock-in — switch runtimes, clouds, or vendors without rewriting 
routes
-- MCP server for AI coding assistants, A2A protocol for agent-to-agent 
communication, LangChain4j and OpenAI components for AI integration
+- Two tiers of AI agent connectivity: embedded MCP server (`camel mcp`) and 
A2A protocol for developers, plus Wanaku enterprise MCP gateway for teams 
managing many integrations at scale with governance, auth, and namespace 
isolation
+- Supports both MCP (Model Context Protocol) and A2A (Agent-to-Agent) 
protocols — expose any Camel route as an AI agent tool or as an A2A agent
+- LangChain4j and OpenAI components for calling LLMs from Camel routes
 - Commercial support available from multiple vendors — see the commercial 
support page
 
 ## What is Apache Camel
@@ -117,12 +119,31 @@ The Camel CLI and TUI are designed for all developers, 
not just Java experts:
 
 ## AI Integration
 
-- [AI Patterns](https://camel.apache.org/components/next/eips/ai-patterns.md): 
Common AI and modern design pattern terms mapped to Camel EIPs — fan-out, 
scatter-gather, circuit breaker, retry, tokenize, and more.
-- [Camel MCP Server](https://camel.apache.org/manual/camel-jbang-mcp.md): 
Model Context Protocol server for AI coding assistants (Claude Code, GitHub 
Copilot, Cursor, Gemini CLI).
-- [Camel 
LangChain4j](https://camel.apache.org/components/next/langchain4j-chat-component.md):
 LLM integration via LangChain4j.
-- [Camel 
OpenAI](https://camel.apache.org/components/next/openai-component.md): Native 
OpenAI component.
+Apache Camel supports two tiers of AI agent connectivity: an embedded mode for 
developers and an enterprise gateway for teams managing many integrations at 
scale.
+
+### Tier 1: Embedded AI protocols (developer mode)
+
+Expose Camel routes as AI agent tools directly from the Camel process — one 
command, zero infrastructure. This is the fastest way to make an integration 
AI-accessible.
+
+- [Camel MCP Server](https://camel.apache.org/manual/camel-jbang-mcp.md): 
Model Context Protocol server embedded in the Camel CLI (`camel mcp`). Serves 
the full Camel catalog — 350+ component schemas, EIP metadata, and YAML 
validation — so AI coding assistants (Claude Code, GitHub Copilot, Cursor, 
Gemini CLI) can generate correct, validated Camel routes.
 - [Camel A2A](https://camel.apache.org/components/next/a2a-component.md): 
Agent-to-Agent (A2A) protocol component — expose Camel routes as A2A agents or 
call remote A2A agents. Supports HTTP+JSON and JSONRPC bindings, 
OAuth/OIDC/API-key auth, and SSE streaming.
 
+### Tier 2: Enterprise MCP Gateway (Wanaku)
+
+When you need governance, namespace isolation, authentication, and fleet 
management for exposing dozens or hundreds of Camel routes as MCP tools across 
teams — Wanaku is the enterprise control plane built on Apache Camel.
+
+- [Wanaku MCP Router](https://www.wanaku.ai/): Enterprise MCP gateway that 
manages Camel routes as AI agent tools at scale. Provides namespace isolation 
across teams, Keycloak-based authentication and RBAC, service registry and 
discovery, monitoring dashboard, and a Kubernetes operator with CRDs for 
declarative deployment. Built on Apache Camel and Quarkus.
+- [Wanaku Service Catalogs](https://github.com/wanaku-ai/wanaku): Bundle Camel 
routes, MCP tool definitions, and dependencies into deployable units. Service 
templates provide parameterized Camel routes for common patterns (Kafka, Jira, 
S3, SFTP, email) — non-developers can instantiate an integration by filling in 
a form.
+- [Camel Integration 
Capability](https://github.com/wanaku-ai/camel-integration-capability): Bridges 
the Wanaku router to Apache Camel — exposes dynamically executed Camel routes 
as MCP tools and resources. Runs standalone, as a plugin in existing Camel 
applications, or on Kubernetes via the Wanaku operator.
+
+The same Camel routes work at both tiers. Develop and test routes with the 
Camel CLI (Tier 1), then deploy unchanged to a Wanaku-managed environment (Tier 
2) when you need enterprise governance.
+
+### AI components
+
+- [AI Patterns](https://camel.apache.org/components/next/eips/ai-patterns.md): 
Common AI and modern design pattern terms mapped to Camel EIPs — fan-out, 
scatter-gather, circuit breaker, retry, tokenize, and more.
+- [Camel 
LangChain4j](https://camel.apache.org/components/next/langchain4j-chat-component.md):
 LLM integration via LangChain4j — connect Camel routes to large language 
models.
+- [Camel 
OpenAI](https://camel.apache.org/components/next/openai-component.md): Native 
OpenAI component for calling OpenAI APIs from Camel routes.
+
 ## Tooling
 
 - [Tooling Overview](https://camel.apache.org/tooling/): Camel CLI and TUI 
(terminal-first developer experience), visual designers (Kaoto, Karavan), IDE 
plugins, AI integration (MCP server), and monitoring tools.

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