Plane (Rust)

io.github.ninerf由 GitHub 账号 ninerf 发布v0.1.1更新于 Nov 4, 2026

Fast single-binary server for Plane project management. Unofficial Rust port, 30 tools.

发布方自己的服务:rust.wiki

已验证STDIO仅桌面效率与工作流开发者工具

概览

AI 生成的概览

非官方单文件 MCP 服务器,让助手读写 Plane 项目管理数据,包括工作项、评论、周期、模块和页面等。

可以做什么
  • 工作项:创建、列出、获取和更新工作项,以及评论、活动、链接、关联、附件、类型和属性
  • 规划:项目、估算、状态、标签、成员、模块、周期、里程碑、倡议和收件箱
  • 内容与客户:页面、集合、模板、客户、客户属性和客户请求
  • 发布与工时:发布、发布标签、发布标记和工时记录
  • 参考:查询 Plane 查询语言(PQL)语法
  • 上游 Python 服务器的旧工具名仍可作为别名使用
适用场景
适合团队在 Plane 中跟踪工作,并希望助手直接在编辑器里查询、汇总或更新工作项、评论、周期和页面,而不必切换到网页界面。
运行要求
作为本地二进制程序在用户机器上运行(从 Releases 下载、安装 .mcpb 包或用 Rust 构建),无需 Python 运行时。需要 PLANE_API_KEY 中的 Plane API 密钥和 PLANE_WORKSPACE_SLUG 中的工作区标识;自建实例可选填 PLANE_BASE_URL。需要能访问 Plane API 的网络。
安装前请注意
API 密钥可访问整个工作区,并以明文环境变量传入。服务器可写入、评论、关联和附加 Plane 中的数据,部分写入操作未做端到端测试。可选的共享 HTTP 模式仅绑定本机且自身无身份验证,切勿对外暴露端口。属非官方社区项目,与 Plane 无隶属关系。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Plane (Rust),将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

plane-mcp-rs

A fast, single-binary Model Context Protocol (MCP) server for Plane project management. It lets AI agents such as Claude, Cursor and Codex work with Plane work items, comments, cycles, modules, pages and more.

It is a Rust port of the MIT-licensed Python plane-mcp-server: the same 30 tools and tool schemas, about 16x less memory, no Python runtime.

Unofficial. A community project, not affiliated with or endorsed by Plane.

MCP Registry name: mcp-name: io.github.ninerf/plane-mcp-rs

Install

Download a binary from Releases and put it on your PATH. Clients that support MCP bundles can install plane-mcp-rs.mcpb from the same page. Or build it with Rust:

bash
cargo install --git https://github.com/ninerf/plane-mcp-rs

Configure

VariableRequiredMeaning
PLANE_API_KEYyesPlane API key (Profile → Personal Access Tokens)
PLANE_WORKSPACE_SLUGyesWorkspace slug from your Plane URL
PLANE_BASE_URLnoSelf-hosted URL; defaults to https://api.plane.so

Claude Code

bash
claude mcp add plane -e PLANE_API_KEY=your-key -e PLANE_WORKSPACE_SLUG=your-slug -- plane-mcp-rs --stdio

Cursor, Claude Desktop and other JSON-configured clients

json
{  "mcpServers": {    "plane": {      "command": "plane-mcp-rs",      "args": ["--stdio"],      "env": { "PLANE_API_KEY": "your-key", "PLANE_WORKSPACE_SLUG": "your-slug" }    }  }}

Shared HTTP server

One process can serve every agent on a machine. It binds to 127.0.0.1 only and has no authentication of its own, so don't expose the port.

bash
plane-mcp-rs --port 8096

The endpoint is http://127.0.0.1:8096/servers/plane/mcp.

Tools

workitem, workitem_comment, workitem_activity, workitem_link, workitem_relation, workitem_attachment, workitem_type, workitem_property, work_log, project, project_estimate, state, label, member, workspace, module, cycle, milestone, intake, page, collection, template, initiative, customer, customer_property, customer_request, release, release_label, release_tag, get_pql_reference.

The upstream server's retired tool names (169 aliases such as create_work_item) still work.

Differences from the Python server

  • workitem list leaves out descriptions unless you pass fields, which roughly halves its output. Use retrieve for the full item.
  • Results are sent once as text, with no duplicate structuredContent copy.
  • Plane's raw response is passed through, so null placeholder fields the Python models add are absent.
  • Empty lists come back as [].
  • upload_from_url checks every resolved address and every redirect against private networks.
  • API-key login only: no OAuth or hosted mode.

Performance

Measured on one Windows 11 workstation against one self-hosted Plane instance, with plane-mcp-server 0.3.3 already tuned for a fair comparison (one server process, no mcp-proxy, payload logging off, the same lean workitem list). A stock install uses more. Your numbers will differ.

RustPython
Memory, idle (working set)7.6 MB127.9 MB17x less
Memory, after load12.8 MB135.8 MB11x less
Cold start to listening¹about 0.5 sabout 7.2 s14x faster
Local tool call, p501.09 ms16.82 ms15x faster
tools/list, p502.78 ms8.9 ms3x faster
workitem list (20 items), p50²about 686 msabout 728 msabout the same
workitem list (20 items), response8.6 KB16.5 KB48% smaller
Install size1.7 MB, 1 file109.8 MB, 8,769 files
Tool schemas sent to the client66.5 KB66.5 KBidentical

¹ Includes the measuring loop's own overhead, so the Rust figure is an upper bound. ² Most of this is Plane itself, so Rust can't speed it up much. Measured with paced calls; the pacing delay is subtracted.

Rust doesn't reduce the tool schema cost, because the schemas are deliberately identical. Reproduce the latency and size numbers with bench/bench.py.

Compatibility and test status

Tested against self-hosted Plane 1.4.2:

  • Read and validation: 77 calls across all 30 tools compared with the Python server, with no behaviour differences beyond those listed above. This covers each tool, not every action.
  • Writes, end to end: work items, comments including mentions, links, attachments, labels and states.
  • Same 404 from both servers on this Plane version: work item relations and archive. Your edition may differ.
  • Not exercised end to end: write actions for other tools, including customers, releases, initiatives, pages, cycles, modules, templates and work logs. They follow the upstream SDK's routes. Please open an issue if one fails.

Linux and macOS builds are compiled and unit-tested in CI. The end-to-end testing above ran on Windows only.

Credits

Tool schemas, descriptions and PQL reference text come from plane-mcp-server (MIT). See LICENSE.

来源:README.md,提交 e146cad

工具

0
SourceWeft 曾在隔离沙箱中以无凭据方式启动该软件包一次,以列出其工具,但未能完成:该软件包类型无法在沙箱中运行。

版本历史

1
  1. v0.1.1最新Nov 4, 2026

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