odse-mcp

odse-mcp

MCP server for converting OEM energy telemetry payloads into ODS-E records and validating them via the odse Python package.

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访问服务器

README

<img src="https://raw.githubusercontent.com/AsobaCloud/odse-mcp/master/docs/odse.svg" alt="ODS-E" width="36" height="36" align="bottom" /> ODS-E Conversion

MCP server for ODS-E energy telemetry conversion. AI coding/data agents call its tools over the Model Context Protocol to convert OEM payloads into ODS-E records and validate them via the published odse Python package.

npm CI License: MIT

The installed odse package is the source of truth for OEM support, transform behavior, and validation semantics.

Quick start

Set ODSE_WORKSPACE to an absolute path used when resolving relative payload_file values. If omitted, the server uses its process working directory. The server speaks MCP over stdio (no HTTP port).

Prerequisite: python3 on PATH must be able to import odse (pip install odse).

Cursor

Add to ~/.cursor/mcp.json or the project .cursor/mcp.json:

{
  "mcpServers": {
    "odse": {
      "command": "npx",
      "args": ["-y", "@asobacloud/odse-mcp"],
      "env": {
        "ODSE_WORKSPACE": "/absolute/path/to/your/data"
      }
    }
  }
}

Restart Cursor (or reload MCP servers), then ask the agent to convert or validate ODS-E data.

Claude Code

CLI (user scope):

claude mcp add --transport stdio --scope user \
  --env ODSE_WORKSPACE=/absolute/path/to/your/data \
  odse -- npx -y @asobacloud/odse-mcp

Or put the same JSON under mcpServers in project .mcp.json (team-shared) or ~/.claude.json (user-wide):

{
  "mcpServers": {
    "odse": {
      "command": "npx",
      "args": ["-y", "@asobacloud/odse-mcp"],
      "env": {
        "ODSE_WORKSPACE": "/absolute/path/to/your/data"
      }
    }
  }
}

Verify with claude mcp list. Project .mcp.json servers need approval the first time you open the repo in Claude Code.

Codex

CLI:

codex mcp add odse --env ODSE_WORKSPACE=/absolute/path/to/your/data -- npx -y @asobacloud/odse-mcp

Or edit ~/.codex/config.toml (or project .codex/config.toml in a trusted project):

[mcp_servers.odse]
command = "npx"
args = ["-y", "@asobacloud/odse-mcp"]

[mcp_servers.odse.env]
ODSE_WORKSPACE = "/absolute/path/to/your/data"

Codex CLI, the IDE extension, and the ChatGPT desktop Codex host share this config.

Run directly

pip install odse
npx -y @asobacloud/odse-mcp

Tools

Tool Runtime What it does
ListSupportedOEMs python3 Returns OEM source keys from the installed odse transformer registry, plus odse.__version__.
ConvertToODSE python3 Calls odse.transformer.transform on raw CSV/JSON text or a file. Optional source, asset_id, timezone, timeout. If source is omitted, OEM is auto-detected from payload content only.
ValidateODSERecord python3 Calls odse.validate_batch on a JSON array of records.

ConvertToODSE

Argument Description
payload Raw telemetry text (CSV or JSON)
payload_file Path to a telemetry file (relative paths resolve against ODSE_WORKSPACE)
source OEM key (e.g. huawei); omit to auto-detect
asset_id Optional asset id forwarded to odse.transform
timezone Optional timezone forwarded to odse.transform (e.g. +02:00)
timeout Timeout in ms (default 120000, max 600000)

Example (explicit source):

{
  "name": "ConvertToODSE",
  "arguments": {
    "source": "huawei",
    "payload": "Time,Active Power(kW),Inverter State\n2024-01-01 12:00:00,12.0,0\n"
  }
}

Successful responses are JSON on the tool text channel, for example:

{
  "records": [
    {
      "timestamp": "2024-01-01T12:00:00Z",
      "kWh": 1.0,
      "error_type": "normal",
      "error_code": "0"
    }
  ],
  "count": 1,
  "source": "huawei",
  "odse_version": "0.8.2"
}

Live-fetch arguments (url, headers, body, …) are rejected: not part of this release.

ValidateODSERecord

Pass records as a JSON string of an array of objects. Optional level is forwarded to odse.validate_batch (default schema).

{
  "name": "ValidateODSERecord",
  "arguments": {
    "records": "[{\"timestamp\":\"2024-01-01T12:00:00Z\",\"kWh\":1.0,\"error_type\":\"normal\"}]"
  }
}

Validation follows odse.validate_batch package semantics (not a separate JSON Schema checker). Extra properties and numeric bounds behave as the installed odse version defines them.

Tool exit code 1 becomes isError: true on the MCP result. Unexpected crashes are reported as errors.

Requirements

Runtime Required for
Node.js ≥ 22 MCP server
Python 3 + odse All tools (pip install odse)

Architecture

rules/*.json          → tool schemas + execution specs
scripts/*.py          → odse wrappers (list / convert / validate)
src/loader.ts         → bundled rules
src/runner.ts         → spawn, timeouts, exit-code → isError
src/index.ts          → MCP stdio server
bin/cli.js            → npx / bin entrypoint

Development

git clone https://github.com/AsobaCloud/odse-mcp.git
cd odse-mcp
python3 -m venv .venv
source .venv/bin/activate   # Windows: .venv\Scripts\activate
pip install odse
npm install
npm run build
npm test
Script Purpose
npm run build Compile TypeScript → dist/
npm test E2E via real MCP Client + fixture assertions
npm start Run the server on stdio
npm run dev node --watch on dist/

Local MCP config (instead of npx):

{
  "mcpServers": {
    "odse": {
      "command": "node",
      "args": ["/absolute/path/to/odse-mcp/dist/index.js"],
      "env": {
        "ODSE_WORKSPACE": "/absolute/path/to/your/data",
        "PATH": "/absolute/path/to/odse-mcp/.venv/bin:/usr/bin:/bin"
      }
    }
  }
}

Ensure the PATH (or environment) makes python3 resolve to an interpreter that can import odse.

Releasing

CI runs build + E2E on every push/PR (Node 22 + pip install odse). To publish a new version:

  1. Bump version in package.json
  2. Commit, push, and create a GitHub Release (gh release create vX.Y.Z --generate-notes)
  3. .github/workflows/publish.yml publishes to npm (Trusted Publisher / OIDC, or NPM_TOKEN if configured)

License

MIT © Asoba

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