diff --git a/python/samples/concepts/mcp/README.md b/python/samples/concepts/mcp/README.md
index a5233fbb2249..56e53ec7b77b 100644
--- a/python/samples/concepts/mcp/README.md
+++ b/python/samples/concepts/mcp/README.md
@@ -12,14 +12,38 @@ Those can then be used with function calling in a chat or agent.
 
 ## Server types
 
-There are two types of servers, Stdio and Sse based. The sample shows how to use the Stdio based server, which get's run locally, in this case by using [npx](https://docs.npmjs.com/cli/v8/commands/npx).
+The samples support Stdio, SSE, and Streamable HTTP transports. A Stdio server runs locally, for example by using [npx](https://docs.npmjs.com/cli/v8/commands/npx).
 
 Some other common runners are [uvx](https://docs.astral.sh/uv/guides/tools/), for python servers and [docker](https://www.docker.com/), for containerized servers.
 
-The code shown works the same for a Sse server, only then a MCPSsePlugin needs to be used instead of the MCPStdioPlugin. For Streamable HTTP server, MCPStreamableHttpPlugin can be used.
+The code shown works the same for an SSE server, only then a MCPSsePlugin needs to be used instead of the MCPStdioPlugin. For Streamable HTTP server, MCPStreamableHttpPlugin can be used.
 
 The reverse, using Semantic Kernel as a server, can be found in the [demos/mcp_server](../../demos/mcp_server/) folder.
 
+### Connecting to a remote Streamable HTTP server
+
+`MCPStreamableHttpPlugin` connects directly to a hosted server without a local server process. For example, [Parallel Search MCP](https://docs.parallel.ai/integrations/mcp/search-mcp) provides `web_search` and `web_fetch` without a Parallel account or API key. Anonymous access is rate limited.
+
+After installing Semantic Kernel as described below, use this inside an async function:
+
+```python
+from semantic_kernel import Kernel
+from semantic_kernel.connectors.mcp import MCPStreamableHttpPlugin
+
+async with MCPStreamableHttpPlugin(
+    name="ParallelSearch",
+    url="https://search.parallel.ai/mcp",
+    load_prompts=False,
+) as mcp_plugin:
+    kernel = Kernel()
+    plugin = kernel.add_plugin(mcp_plugin)
+    print(sorted(plugin.functions))
+```
+
+This discovers the server's tools. To let an agent use them, pass `plugins=[plugin]` to the agent and invoke it inside the context manager, as in [the HTTP sample](agent_with_http_mcp_plugin.py). That sample's Azure configuration is still required when using its agent. Omit the plugin from the agent to disable access.
+
+An agent with these tools may call them during its work. Search queries, requested URLs, and any supplied objectives or context are sent to Parallel when tools run.
+
 ## Running the samples
 
 1. Depending on the sample you want to run: