mcp-resource-tool-adapter
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-resource-tool-adapterRead resource robot://current_state"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-resource-tool-adapter
mcp-resource-tool-adapter
Expose MCP resources through generic tools for MCP clients and models that
cannot call resources/read directly.
Why?
Some OpenAI-compatible LLM runtimes support tool calls but do not implement
the MCP resource protocol. This package keeps standard MCP resources available
while exposing a generic read_resource(uri) compatibility tool.
Related MCP server: Apollo Universal MCP Server
Installation
pip install mcp-resource-tool-adapterExample
from mcp.server.fastmcp import FastMCP
from mcp_resource_tool_adapter import ResourceToolAdapter
mcp = FastMCP("example-server")
resources = ResourceToolAdapter(mcp)
@resources.resource("robot://current_state")
def get_robot_state():
return {"battery_percent": 87, "mode": "standing"}
resources.register_tools()
mcp.run(transport="stdio")A tool-only client can then call:
{
"uri": "robot://current_state"
}through the read_resource tool.
Available compatibility tools
read_resource(uri): reads one registered resource.list_resources(): lists URIs that can be read throughread_resource.
Scope
This package does not handle robot control, ROS2, authentication, caching, authorization, or resource freshness. Those remain responsibilities of the application server.
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