nt-mcp-server

nt-mcp-server

MCP server for reading, writing, and monitoring FRC NetworkTables data, enabling AI agents to interact with a robot's NetworkTables over the NetworkTables protocol.

Category
访问服务器

README

nt-mcp-server

A standalone MCP server for reading, writing, and monitoring FRC NetworkTables data. It lets an AI agent talk to a robot's network tables over the NetworkTables protocol. The primary target is the local RobotPy sim (python -m robotpy sim on 127.0.0.1:5810).

pinned dependencies (fastmcp==3.4.7, pyntcore==2026.2.2).

Run the server

uv run nt-mcp-server

Or, equivalently, from a checkout without uv's shim:

python -m nt_mcp_server

The server runs on stdio, which is how MCP clients (like opencode) talk to it.

Connect to RobotPy sim NetworkTables

The sim must be running before the server can read or write anything useful. Start it from its own project and venv:

cd <path-to-try-robotpy> && .venv\Scripts\activate && python -m robotpy sim

The server connects to 127.0.0.1:5810 by default, which is where the sim listens.

Connect to Real Robot NetworkTables

For most cases, just record NetworkTables and use the mcp to analyze the recordings.

If you want to connect to a real robot's NetworkTables in real time, you need to have 2 network adapters on you device: one for Internet and the other for robot communication. One approach is to use your wireless adapter to connect to the wifi and use a ethernet cable to connect to the robot. Alternatively, you get a USB Network Adapter as the second adapter. In ethier cases, you may need to configure your device's network routing.

Record NetworkTables to NDJSON (offline)

The nt-recorder CLI connects to a live NT4 server and writes value events to a timestamped .ndjson file. It runs on the dev laptop and reads NT from the sim or robot; no robot-side changes are needed.

uv run nt-recorder --prefixes /SmartDashboard/ --output-dir recordings

Options:

  • --prefixes — topic prefixes to subscribe to (default: /)
  • --output-dir — directory for output files (default: ./recordings)
  • --duration — record for N seconds, then exit (default: run until Ctrl+C)
  • --team — connect via team number instead of server IP/port
  • --server-ip / --server-port — NT4 server address (default: 127.0.0.1:5810)
  • --identity — client identity string (default: nt-recorder)
  • --quiet — suppress status output to stderr

Output files are named nt-record-<YYYY-MM-DDTHHMMSSZ>.ndjson (no colons, Windows-safe). Each line is {"time": float, "topic": str, "value": jsonable}. Exit codes: 0 clean, 1 connection failure, 2 disk/IO error.

Tools

The server exposes 17 tools (13 live + 4 offline). Every live tool response includes a connected flag.

Live tools

Tool Description
nt_connect Start the NT4 client and wait for a live connection. Returns {"connected": bool, "status": "connected" | "not connected"}.
nt_disconnect Stop the NT4 client and tear down persistent subscriptions. Returns {"connected": false, "status": "disconnected"}.
nt_connection_info Return connection state: {"connected": bool, "connections": [...]}.
nt_get Return the JSON-normalized value of one topic. Response: {"connected": bool, "value": jsonable | null}.
nt_get_multiple Return every requested topic. Response: {"connected": bool, "values": {topic: value}}.
nt_get_info Return topic metadata. Response: {"connected": bool, "info": {name, type_str, properties} | null}.
nt_set Publish a value. Response: {"connected": bool, "ok": bool, "warning": str | null}. Add strict_type_check=True to refuse type mismatches.
nt_set_multiple Write every {topic: value} pair. Response: {"connected": bool, "results": {...}, "warnings": {...}}.
nt_list_topics List topic names, filtered by prefix, regex, and/or wildcard. Response: {"connected": bool, "topics": [...]}.
nt_subscribe Sample updates under prefixes for duration seconds. Response: {"connected": bool, "samples": {topic: [...] | summary}}. Supports sample_interval, change_only, and format="summary".
nt_start_subscription Open a persistent subscription. Response: {"connected": bool, "subscription_id": str, "started": bool}.
nt_poll_subscription Read buffered samples from a persistent subscription. Response: {"connected": bool, "samples": {topic: [...]}}.
nt_stop_subscription Stop a persistent subscription. Response: {"connected": bool, "stopped": bool}.

Offline recording tools

Tool Description
nt_list_recordings List recordings. Each entry includes id, path, size_bytes, modified (Unix float), and modified_iso (UTC ISO-8601).
nt_get_recording_info Return duration, total sample count, topic count, and file metadata for a recording.
nt_get_history Return event history for one topic. Supports last_seconds, sample_interval, and format="summary".
nt_list_topics_offline List unique topic names in a recording, filtered by prefix, regex, and/or wildcard.
nt_subscribe_offline Return events for every topic under prefixes. Supports last_seconds, sample_interval, and format="summary".

The offline tools read from the directory set by the NT_RECORDINGS_DIR environment variable (defaults to ./recordings). Recordings are local-only — the recorder runs on the dev laptop and reads NT from the sim/robot; no robot-side changes are needed.

Register in any agent

The server is a uvx-runnable package from git, so any MCP client can launch it without a local checkout or a pre-built venv. Run it on demand:

uvx --from git+https://github.com/Mzzj114/nt-mcp-server.git nt-mcp-server

Or install the console script once and run it anywhere:

uv tool install "git+https://github.com/Mzzj114/nt-mcp-server.git"
uvx nt-mcp-server

Add this entry to your agent's MCP config (shown here as opencode's project-level opencode.jsonc):

{
  "mcp": {
    "nt": {
      "type": "local",
      "command": [
        "uvx",
        "--from",
        "git+https://github.com/Mzzj114/nt-mcp-server.git",
        "nt-mcp-server"
      ],
      "enabled": true
    }
  }
}

Verify with opencode mcp list from the project root: the nt server should show as connected.

Development

  • Python 3.14.0 venv in .venv; deps installed from requirements.txt (fastmcp==3.4.7, pyntcore==2026.2.2).
  • Tests: uv run pytest tests/ -v

License

This project is under MIT License.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选