mcp server
RoboParts 机器人零部件兼容性
688 humanoid robot component entities with 4-dimension compatibility checking. Vendor-neutral.
Description as published by the maintainer. Source
- version 1.1.0
- active
active — Most recent push to the repository was 2026-08-06.
What this server can do
5 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
check_compatibility(component1_id, component2_id)- 判定两个零部件在 protocol(协议)/ electrical(电气)/ mechanical(机械)/ software(ROS2)四个维度的兼容性,返回逐维结论、总体判定与置信说明。注意:结论基于厂商公开声明字段做规则推断,非实验室实测;厂商未声明的维度记为"无法判定",既不计入兼容也不计入不兼容。 Required: component1_id, component2_id.
get_component_detail(id)- 按 ID 获取单个零部件的完整字段,包含 source_tier(数据来源等级)、confidence(置信度)、data_quality 与 mechanical_interface 等元数据。用于在做出采购/设计决策前核对证据强度。 Required: id.
get_parameter_semantics- 获取参数口径规范:同一个 torque/speed 字段在不同厂商那里含义可能不同(库内 torque 出现 19 种口径、speed 37 种,甚至混入 Gbps 与 rad/s)。本工具返回物理红线、单位换算、可比性分级与向厂商问询的清单,用于判断两份参数表到底能不能直接比较。
recommend_for_application(count, budget, application)- 按应用场景推荐零部件组合,可选预算上限(USD)。返回各品类的候选项及推荐理由。这是基于库内字段的启发式筛选,不构成工程选型意见,最终仍需核对厂商原始数据手册。 Required: application.
search_components(limit, keyword, category, include_market_intelligence)- 搜索机器人零部件。可按品类、关键词筛选,返回匹配条目的摘要(id/name/category/manufacturer/关键规格/证据等级)。覆盖执行器、传感器、芯片、通信协议、接口、机器人平台、具身智能模型等 10 个品类。库存实时口径(总数/可选型/已隔离)见 initialize 的 instructions 或 GET /mcp 的 dataset 字段 —— 此处不写死数字,避免文案与真实库存漂移。
Last successful function declaration observed on . Source: https://roboparts.cc/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://roboparts.cc/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-06 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.1.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-08-05 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-08-05 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 5 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | roboparts.cc | |
| mcp endpoint status | ok | The server listed 5 functions when asked. | as of probe | roboparts.cc |
Where to get it
Related, by what their authors tagged them
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cc.operandi/operandi
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These share tags the maintainers applied themselves, such as robotics, compatibility. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
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How the author describes it
Topics the maintainer set on GitHub: cadquery, compatibility, embodied-ai, hardware-compatibility, humanoid-robot, iso-9409, mcp, mcp-server, model-context-protocol, open-source-robotics, robot-components, robot-parts, robotics, ros2, urdf.
This record as data
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