Croway opened a new pull request, #21602:
URL: https://github.com/apache/camel/pull/21602
# Description
Adds MCP (Model Context Protocol) client integration to the camel-openai
component. Users can configure MCP servers directly on the endpoint URI, and
the component automatically lists tools, converts them to OpenAI format, and
executes an agentic tool loop.
Example
```
// Automatic tool loop — the model calls tools, the component executes
them via MCP,
// feeds results back, and repeats until the model produces a final text
answer.
from("direct:chat")
.to("openai:chat-completion?model=gpt-4"
+ "&mcpServer.fs.transportType=stdio"
+ "&mcpServer.fs.command=npx"
+
"&mcpServer.fs.args=-y,@modelcontextprotocol/server-filesystem,/tmp")
.log("${body}");
```
- MCP server configuration via mcpServer. prefix pattern (stdio, SSE,
streamable HTTP transports)
- Agentic tool loop with configurable maxToolIterations (default 50)
- autoToolExecution toggle, when false, raw tool calls are returned for
manual handling
- tool-execution operation, executes MCP tool calls as a Camel endpoint,
enabling pure DSL tool loops with loopDoWhile
- returnDirect support, tools annotated with returnDirect=true short-circuit
the loop
- Conversation memory, full tool call chain (assistant + tool results)
stored in conversation history
- Connection recovery (mcpReconnect=true), auto-reconnects on transport
failures and retries once
- Configurable timeout (mcpTimeout, default 20s) for all MCP operations
- Configurable protocol versions (mcpProtocolVersions)
@jamesnetherton I've added `mcp-core` dependency, do you think it may mess
with camel-quarkus? mcp-core does not have spring transitive dependencies but
IIRC it uses reactor
@ibek
All the integration tests are successful with `mvn clean verify
-Dollama.instance.type=openai -Dopenai.endpoint=http://localhost:11434/v1/
-Dopenai.model=qwen3-vl:8b-instruct -Dopenai.api.key=dummy
-Dopenai.embedding.model=embeddinggemma:300m`
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