mcp-resource-tool-adapter

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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.

Installation

pip install mcp-resource-tool-adapter

Example

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 through read_resource.

Scope

This package does not handle robot control, ROS2, authentication, caching, authorization, or resource freshness. Those remain responsibilities of the application server.

Project links

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Credits

Author: Vinicius Ferreira

GitHub Statistics

Data verified by PyPI on Jul 22, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (MIT License)

Requires

Python >=3.10

Provides Extra

dev

Tags

fastmcp llm mcp model-context-protocol resources tools

Classifiers

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