LTD MCP

io.github.Eshller由 GitHub 帳號 Eshller 發布v0.1.0更新於 Oct 24, 2026

Project management MCP for AI agents with safe task reads and writes.

已驗證Streamable HTTP可網頁執行效率與工作流資料與分析

概覽

AI 產生的概覽

遠端 MCP 伺服器,讓 AI 助理讀取與寫入 LTD 工作區中的專案工作:專案、任務、留言與分析資料。

可以做什麼
列出並描述可存取的專案,包含狀態、自訂欄位與成員;列出權杖持有者的未完成任務,讀取任務留言與完整任務詳情;搜尋與篩選任務;取得專案健康彙總,執行分析聚合並下鑽至資料點;透過兩步預覽-確認流程建立任務、更新任務欄位與新增留言。
適用情境
當團隊使用 LTD 工作區,並希望助理檢查專案健康狀況、尋找或彙整任務,或在人工確認下草擬並送出任務變更與留言時使用。
執行需求
遠端 Streamable HTTP 端點,不需本機套件。需在 LTD 設定中建立 LTD API 權杖,並以 Bearer 權杖形式放在 Authorization 標頭中。唯讀存取需要 mcp:read 範圍,建立任務、更新、指派與留言需要 mcp:write 範圍。需要能連線至該端點的網路。
安裝前請注意
Authorization 權杖可存取你的 LTD 工作區,請妥善保密,並在 LTD 設定中撤銷或輪換。寫入工具會建立、更新真實專案資料並新增留言,確認前請逐筆檢查預覽;確認權杖短期有效且僅能使用一次。此伺服器處於早期公開預覽階段,行為可能變動。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 LTD MCP,將其新增到工作區。
  2. 連接 Authorization token 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.Eshller%2Fltd-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "ltd": {
      "type": "http",
      "url": "https://api.eshway.com/mcp/",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

README

LTD MCP

Project management MCP for AI agents.

LTD MCP lets AI agents connect to an LTD workspace over MCP and safely operate project work: inspect project health, search tasks, create tasks, update tasks, assign owners, and add comments using scoped API tokens and preview-confirm writes.

Status: early public preview. Read tools are available. Write tools use a two-step preview-confirm safety flow.

Why this exists

Most project management tools were built for humans clicking dashboards. AI agents need safe, structured tools.

LTD MCP is the agent-native interface for LTD, an anti-Jira-style project workspace for teams that want humans and AI agents operating together.

MCP endpoint

txt
https://api.eshway.com/mcp/

Transport: Streamable HTTP / HTTP MCP

Authentication: Bearer token

txt
Authorization: Bearer <LTD_API_TOKEN>

Capabilities

Read tools

  • ltd_list_projects - list projects the token can access
  • ltd_describe_project - describe statuses, custom fields, and members
  • ltd_search_tasks - search/filter tasks
  • ltd_get_task - fetch full task detail
  • ltd_my_tasks - list token owner's open tasks
  • ltd_get_comments - read task comments
  • ltd_project_pulse - project health rollups
  • ltd_analytics_query - analytics aggregations
  • ltd_drilldown_tasks - drill into analytics datapoints

Write tools

  • ltd_create_task - create a task
  • ltd_update_task - update fields on a task
  • ltd_add_comment - add a comment

Write tools are intentionally two-step:

  1. mode="preview" returns the exact proposed change and a short-lived confirm token. Nothing is written.
  2. mode="confirm" with the same arguments plus confirm_token performs the write.

Token scopes

Create an LTD API token from LTD Settings → API tokens.

Recommended scopes:

  • mcp:read for read-only project visibility
  • mcp:write for task creation, updates, assignment, and comments

Keep tokens secret. Revoke and rotate them from LTD settings when needed.

Quickstart

Generic MCP HTTP config

json
{  "mcpServers": {    "ltd": {      "transport": "http",      "url": "https://api.eshway.com/mcp/",      "headers": {        "Authorization": "Bearer ${LTD_API_TOKEN}"      }    }  }}

Hermes

bash
mcp add ltd --transport http \  --url https://api.eshway.com/mcp/ \  --header "Authorization: Bearer $LTD_API_TOKEN"

Smithery

bash
smithery mcp add https://api.eshway.com/mcp/ --id ltd

Example prompts

txt
Show me all LTD projects I can access.
txt
Give me a project pulse for PS - Mini and list the top risks.
txt
Create a low-priority test task in PS - Mini assigned to Eshu, but show me the preview before confirming.
txt
Find stale tasks assigned to me, group them by status, and suggest next actions.

Safety model

LTD MCP is designed for human-controlled agent operations:

  • Scoped PATs limit access.
  • Read and write scopes are separate.
  • Write actions use preview-confirm.
  • Preview explicitly returns nothing_changed_yet: true.
  • Confirm tokens are short-lived and single-use.
  • Invalid assignees/statuses are rejected before write.

Example write flow

Preview:

json
{  "project_id": 168,  "title": "Test task created by ZERO",  "description": "Verify LTD MCP task creation.",  "status": "To Do",  "assignees": ["Eshu"],  "priority": "Low",  "mode": "preview"}

Confirm:

json
{  "project_id": 168,  "title": "Test task created by ZERO",  "description": "Verify LTD MCP task creation.",  "status": "To Do",  "assignees": ["Eshu"],  "priority": "Low",  "mode": "confirm",  "confirm_token": "<token from preview>"}

Supported clients

Any MCP client that supports remote HTTP / Streamable HTTP MCP servers should work.

Planned docs:

  • Claude Desktop
  • Cursor
  • Cline
  • Windsurf
  • Hermes / ZERO
  • Smithery

Links

Roadmap

  • Public hosted docs
  • Demo workspace
  • Client-specific setup guides
  • Official MCP Registry listing
  • Smithery listing
  • MCP.so listing
  • Audit log docs
  • OAuth support

License

MIT for documentation and examples in this repository. LTD server implementation and hosted service are owned by Eshway.

來源:README.md,提交 bb04aad

工具

0
該伺服器需要 API 金鑰等憑證,因此 SourceWeft 無法在沒有憑證的情況下讀取其工具,也未收錄。

版本歷史

1
  1. v0.1.0最新Sep 16, 2026

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