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DME MCP Server

MCP Server for DME storage O&M

Exposes the dme-python-sdk action library (16 topics, 427 actions) through 4 meta tools instead of registering every action as its own MCP tool (which made the tool list too long for LLM context):

  • MCP V1 (mcp>=1.28,<2, FastMCP)

  • Endpoint: a single root MCP Server at <endpoint>/mcp/v1 (e.g. http://127.0.0.1:8000/mcp/v1)

  • Meta tools:

    Tool

    Parameters

    Description

    list_topics

    —

    All topics and subtopics with descriptions (same as pydme --list-topics)

    list_actions

    topic, subtopic (optional)

    Actions of a topic / one subtopic with descriptions; without subtopic lists the direct actions and every subtopic's actions (same as pydme <topic> [<subtopic>] --help)

    show_action_help

    topic, action, subtopic (optional)

    Description / parameters / output of one action (same as pydme <topic> [<subtopic>] <action> --help)

    exec_action

    topic, action, params (dict), subtopic (optional), accept_risk (optional)

    Execute one action with a parameter dict (same as pydme <topic> [<subtopic>] <action> --param value ...)

  • Docstring parsing: action help text is loaded from dme-python-sdk's i18n resources (pydme/config/i18n/actions_<lang>.yaml + funcs_<lang>.yaml, language via --lang / DME_CLI_LANG, default zh_CN), falling back to the function docstring when a resource entry is missing; the action registry comes from pydme.i18n.load_actions_registry

  • Blacklist: modeled after cli.py; ~/.config/pydme/blacklist.json takes precedence. exec_action rejects blacklisted high-risk operations with a RISK_BLOCKED response unless accept_risk=true is passed (or the server was started with --accept-risk / DME_ACCEPT_RISK)

Installation

dme-python-sdk is declared as a git dependency (the default main branch, which carries the i18n action-help resources) and is installed automatically — no separate SDK install needed:

pip install git+https://github.com/agentic-data-ops/dme-mcp-server.git

Related MCP server: Easy MCP Proxy

Usage

# streamable-http (default); DME connection params match the pydme CLI.
# Listens on 127.0.0.1:8000 unless --mcp-server or DME_MCP_SERVER is set.
dme-mcp-server --mcp-server 0.0.0.0:8000 \
  --endpoint https://192.168.1.100:26335 --user admin --password xxx

# Or use environment variables (omitting --mcp-server uses the 127.0.0.1:8000 default)
export DME_API_ENDPOINT=https://192.168.1.100:26335
export DME_API_USERNAME=admin
export DME_API_PASSWORD=xxx
dme-mcp-server

# stdio mode (--mcp-server is just a startup switch)
dme-mcp-server --mcp-server x --mcp-transport stdio \
  --endpoint ... --user ... --password ...

Connecting

The 4 meta tools live on a single root MCP server. Point your MCP client at:

  • http://<host>:<port>/mcp/v1 — e.g. http://127.0.0.1:8000/mcp/v1

tools/list returns the 4 tools above. Typical flow: list_topics to discover the topic tree → list_actions to pick an action → show_action_help for its parameters → exec_action to run it.

Options

Option

Environment variable

Description

--endpoint/-e

DME_API_ENDPOINT

DME API address

--user/-u

DME_API_USERNAME

Username

--password/-p

DME_API_PASSWORD

Password

--token

DME_API_AUTH_TOKEN

Auth token (optional; skips login when provided)

--timeout

—

Request timeout (default 90)

--no-cache-auth-token

—

Disable token caching

--accept-risk

DME_ACCEPT_RISK

Default accept_risk=true for blacklisted high-risk exec_action calls (clients can still override per call)

--lang

DME_CLI_LANG

Action help language: zh_CN (default) / en_US (mirrors pydme CLI)

--mcp-server

DME_MCP_SERVER

Listen address host:port (default: 127.0.0.1:8000)

--mcp-transport

—

streamable-http (default) / stdio

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