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.

Category
Visit Server

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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured