TaskFrame MCP Server

TaskFrame MCP Server

HTTP MCP server for TaskFrame that enables AI agents to manage projects, tasks, comments, and documents through the TaskFrame API.

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README

TaskFrame MCP Server

HTTP MCP server for TaskFrame — lets AI agents work with projects, tasks, comments and docs via the TaskFrame external API.

Each request is stateless. The Bearer token from the client is forwarded directly to TaskFrame — no credentials are stored on the server.


For humans

Requirements

  • Node.js 22+
  • TaskFrame API key (tf_live_...) — create one in TaskFrame → Settings → API Keys
  • TASKFRAME_BASE_URL — your TaskFrame instance URL

Run locally

cp .env.example .env
# edit .env: set TASKFRAME_BASE_URL
npm install
npm run dev

Run with Docker

docker build -t taskframe-mcp .
docker run -e TASKFRAME_BASE_URL=https://your-taskframe-domain.com -p 3000:3000 taskframe-mcp

Environment variables

Variable Required Description
TASKFRAME_BASE_URL yes Base URL of your TaskFrame instance
PORT no HTTP port, default 3000
ALLOWED_HOSTS no Comma-separated Host header allowlist; enables DNS-rebinding protection when set (e.g. mcp.example.com)

Health check

curl http://localhost:3000/health
# → {"ok":true}

Security & deployment

[!IMPORTANT] Always deploy behind TLS. The API key is sent as a plaintext Authorization: Bearer header on every request. Terminate HTTPS at a reverse proxy (nginx, Caddy, Traefik, cloud LB) and point clients at the https:// URL. Never expose the raw http:// port to a network you don't fully control.

Built-in protections:

  • Stateless — no token, workspace id, or session is stored between requests. Each call is authenticated solely by its own Bearer header.
  • ID validation — all UUID/key arguments are schema-validated and URL-encoded, so a tool argument can never alter the upstream request path (no path traversal / SSRF into other TaskFrame endpoints).
  • Upstream timeout — requests to TaskFrame abort after 15s, returning 504 instead of hanging.
  • Body limit — JSON bodies over 1 MB are rejected with 413.
  • Scoped by the key — the server never grants more than the API key's own permissions; it cannot escalate access.

Recommended for production: run the reverse proxy with rate limiting, set ALLOWED_HOSTS to your public hostname, and keep the container non-root (the node base image already runs as a non-root node user when configured).


Connect to Claude Code

Add to your ~/.claude/settings.json (global) or .claude/settings.json (project):

{
  "mcpServers": {
    "taskframe": {
      "type": "http",
      "url": "https://mcp.example.com/mcp",
      "headers": {
        "Authorization": "Bearer tf_live_..."
      }
    }
  }
}

Each user sets their own API key in the Authorization header. The server is shared — the key is not.


For agents

The server exposes a resource taskframe://guide that Claude Code loads automatically into context. If your client does not load resources automatically, call get_guide first.

How auth works

Pass your TaskFrame API key as Authorization: Bearer <key> in the HTTP request to this MCP server. The server resolves your workspaceId automatically via /me — never pass workspaceId as a tool argument.

Recommended flow

list_projects
  → pick projectId

get_project_meta(projectId)
  → columns[].id  → use as statusId
  → sprints[].id  → use as sprintId
  → members[].id  → use as assigneeId

list_tasks(projectId)      — read existing tasks
create_task(projectId, …)  — create new task
update_task(taskId, …)     — update fields

Key shortcuts

  • Use get_task_by_key with keys like APP-43 when you have them — it's faster than get_task by UUID
  • description (tasks) and content (docs/comments) accept plain text — the server wraps it in TipTap JSON automatically
  • sprintId: omit → active sprint, null → backlog, UUID → specific sprint

Tools

Context

Tool Description
get_guide Get usage instructions (fallback if resource not loaded)
get_me Get workspace id, user, and effective permissions

Projects

Tool Arguments Description
list_projects status?, clientId? List projects
get_project_meta projectId Columns, sprints, labels, members

Tasks

Tool Arguments Description
list_tasks projectId All tasks in a project
get_task taskId Get task by UUID
get_task_by_key taskKey Get task by key, e.g. APP-43
create_task projectId, name, ...fields Create task
update_task taskId, ...fields Update task (partial)
delete_task taskId Delete task permanently

create_task and update_task accept: description, type, priority, statusId, assigneeId, parentTaskId, estimateMinutes, storyPoints, dueDate, startDate, sprintId, labelIds.

Comments

Tool Arguments Description
list_comments taskId List comments on a task
create_comment taskId, content, parentCommentId? Add comment
update_comment commentId, content Edit own comment
delete_comment commentId Delete comment

Docs

Tool Arguments Description
list_docs projectId Flat list of pages; use parentPageId to build tree
get_doc projectId, pageId Get page with full content
create_doc projectId, title, ...fields Create page
update_doc projectId, pageId, ...fields Update page; use isArchived: true to archive
delete_doc projectId, pageId Delete page and all children permanently

Permissions

The server uses whatever permissions your API key has. If a tool returns a 403 error, the key needs the corresponding permission added in TaskFrame settings.

Operation Required permission
Read projects projects:read
Read tasks and comments tasks:read
Create / update / delete tasks tasks:create, tasks:update, tasks:delete
Create / edit / delete comments comments:create, comments:update_own, comments:delete_own
Read docs wiki:read
Create / update / delete docs wiki:create, wiki:update, wiki:delete
Columns in project meta board:read
Sprints in project meta sprints:read
Labels in project meta tags:read
Members in project meta members:read

Error format

All tools return errors as text content with isError: true. The message includes the HTTP status and TaskFrame error description:

Error: 403: API key does not allow this operation
Error: 404: Task not found

Development

npm run dev    # watch mode with tsx
npm run build  # compile to dist/
npm start      # run compiled output

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