mcpField
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LTD MCP

LTD MCP

Remote
eshway.comProductivity2Updated 11w ago

About LTD MCP

LTD MCP connects AI agents to an LTD project-management workspace to inspect project health, search tasks, and manage tasks and comments. Writes require preview and confirmation, while scoped API tokens control access.

Key features

  1. 01View project health and analytics
  2. 02Search tasks and read details and comments
  3. 03Create, update, and assign tasks
  4. 04Preview writes before confirmation
  5. 05Separate read and write token scopes

Use cases

  1. 01Summarize project health and risks
  2. 02Find open tasks assigned to the token owner
  3. 03Preview a task creation or update before applying it
  4. 04Provide project visibility with a read-only token

MCP support

This remote MCP server uses Streamable HTTP at https://api.eshway.com/mcp/. Clients authenticate with a Bearer API token; write tools return a preview and short-lived confirmation token before applying changes.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://api.eshway.com/mcp/
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://api.eshway.com/mcp/Auth required

Tools

Details

From the project 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

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

Transport: Streamable HTTP / HTTP MCP

Authentication: Bearer token

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
{
  "mcpServers": {
    "ltd": {
      "transport": "http",
      "url": "https://api.eshway.com/mcp/",
      "headers": {
        "Authorization": "Bearer ${LTD_API_TOKEN}"
      }
    }
  }
}
Hermes
mcp add ltd --transport http \
  --url https://api.eshway.com/mcp/ \
  --header "Authorization: Bearer $LTD_API_TOKEN"
Smithery
smithery mcp add https://api.eshway.com/mcp/ --id ltd

Example prompts

Show me all LTD projects I can access.
Give me a project pulse for PS - Mini and list the top risks.
Create a low-priority test task in PS - Mini assigned to Eshu, but show me the preview before confirming.
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:

{
  "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:

{
  "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.

Comments

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