TaskLogger MCP
MCP server enabling AI agents to create, update, search, assign, and complete tasks on TaskLogger.io via the TaskLogger REST API, with secure local credential management and token persistence.
README
TaskLogger MCP
A Model Context Protocol server that gives AI agents programmatic access to TaskLogger.io tasks — create, update, search, assign, and complete tasks directly from an agent's toolset, no browser automation.
The server talks to the TaskLogger REST API (https://api.tasklogger.io/api/v1) over stdio. Tasks are TaskLogger logs with logTypeId = 2.
Features
- Full task lifecycle — create, update, delete, mark done
- Rich filtering — by status, priority, assignee, creator, problem type, category, company, vendor, date ranges, free-text search, and pagination
- Reference lookups — statuses, priorities, problem types, categories, sub-types, users, departments, companies
- Secure auth — password is read only from a local env file, never passed as a tool parameter
- Token persistence — access/refresh tokens cached to disk and auto-refreshed across restarts
Tools
| Tool | Purpose |
|---|---|
login |
Authenticate with credentials from env vars |
logout |
Clear saved tokens |
status |
Check the authenticated user |
list_tasks |
List/filter/search tasks |
get_task |
Get one task by ID |
create_task |
Create a task (defaults sub-type to Report Bug) |
update_task |
Update fields on a task |
mark_task_done |
Shortcut → Completed + 100% |
delete_task |
Delete a task |
get_statuses / get_priorities / get_problem_types / get_task_categories / get_sub_types / get_users / get_departments / get_companies |
Look up valid IDs |
Tasks are identified by their numeric DB
idin tool calls. TaskLogger also exposes a human-friendly transaction number (TN /trans_num) in responses, which is what humans usually quote — report TN to the user, pass the numericidto the tools.
Requirements
- Node.js 18+ (uses global
fetch,FormData,crypto.randomUUID) - An account on a TaskLogger.io branch
Setup
# 1. Clone and install
git clone https://github.com/khodorrrhajjj/TaskLogger-Mcp.git
cd TaskLogger-Mcp
npm install
# 2. Build
npm run build # outputs dist/index.js
3. Credentials
Create a local credential file (the server reads it on startup). It is created in your home directory, deliberately outside the repo, so it is never committed.
Create ~/.tasklogger-mcp/env:
TASKLOGGER_EMAIL=you@example.com
TASKLOGGER_PASSWORD=yourpassword
TASKLOGGER_BRANCH_ID=74
TASKLOGGER_PASSWORDis required and never passed as a tool parameter.TASKLOGGER_BRANCH_IDselects the branch (only needed if you have multiple).
Alternatively, set the same keys as regular environment variables in your shell.
Connecting to an agent
OpenCode
Add to opencode.json (or your project/global config):
{
"mcp": {
"tasklogger": {
"type": "stdio",
"command": "node",
"args": ["C:/Users/<you>/projects/TaskLogger-Mcp/dist/index.js"],
"env": {}
}
}
}
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"tasklogger": {
"command": "node",
"args": ["C:/Users/<you>/projects/TaskLogger-Mcp/dist/index.js"]
}
}
}
Any other MCP client
Point it at node /absolute/path/to/tasklogger-mcp/dist/index.js over the stdio transport.
Usage examples
# List tasks pending, created by users 214/215
list_tasks status_id="8" created_by="214,215"
# Search
list_tasks search="product setup"
# Create a Task Logger bug report
create_task problem_description="...bug..." problem_type_id="96" category_id="22" assigned_to_id="80"
# Update a task's status (TN 152 → Pending)
get_task id=24077 # ← confirm the numeric id
update_task id=24077 status_id="8"
Common status IDs: Pending = 8, To be tested = 10, Completed = 1, On Hold = 16. Sub-type Report Bug = 27. Always get_statuses / get_users to confirm current IDs.
How login works
- On startup the server reads
~/.tasklogger-mcp/envinto the process environment (existing env vars win). - On the first authenticated call it POSTs to
/users/loginwith email, password,rememberMe: true, andbranchId. It holds the two HttpOnly cookies the API returns:accessToken— short-lived (~15 min) bearerrefreshToken— longer-lived (~7 days)
- Tokens are persisted to
~/.tasklogger-mcp/auth.json(chmod0600) so a restart doesn't force a re-login. - Before every request, if the
accessTokenis expired the server tries to refresh it (POST/users/refresh, fallbackGET /users/authenticate), then falls back to a fresh env-file login. - The dedicated
logintool re-authenticates on demand;logoutclears tokens from disk.
The password itself never appears in any tool parameter, MCP log, or conversation — only inside env.
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.