Connect
Optimize
Secure
Google Tasks MCP Server
for AI Agents
Production-ready Google Tasks MCP server with extensible actions — plus built-in authentication, security, and optimized execution.
Google Tasks MCP Server
Built by 
StackOne
StackOne 
Coverage
12 Agent Actions
Create, read, update, and delete across Google Tasks — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your Google Tasks MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every Google Tasks tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →
Performance
Max Agent Context. Min Cost.
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Google Tasks call.
Tools Discovery →What is the Google Tasks MCP Server?
A Google Tasks MCP server lets AI agents read and write Google Tasks data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Google Tasks MCP server ships with pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, and optimized agent context. Connect it from MCP clients like Claude Desktop, Cursor, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
All Google Tasks MCP Tools and Actions
Every action from Google Tasks's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Task Lists
- Create Task List
Creates a new task list
- List Task Lists
Returns all task lists for the authenticated user
- Get Task List
Returns the authenticated user's specified task list
- Delete Task List
Deletes the authenticated user's specified task list
Patch Task Lists
- Patch Task List
Updates the authenticated user's specified task list (partial update)
Tasks
- Create Task
Creates a new task on the specified task list
- List Tasks
Returns all tasks in the specified task list
- Get Task
Returns the specified task
- Move Task
Moves the specified task to another position in the task list or under a different parent
- Delete Task
Deletes the specified task from the task list
Patch Tasks
- Patch Task
Updates the specified task (partial update)
Clear Completed Tasks
- Clear Completed Tasks
Clears all completed tasks from the specified task list
Set Up Your Google Tasks MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to Google Tasks in under 10 lines of code.
MCP Clients
Agent Frameworks
JSON{
"mcpServers": {
"stackone": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.stackone.com/mcp?x-account-id=<account_id>",
"--header",
"Authorization: Basic <YOUR_BASE64_TOKEN>"
]
}
}
}More Project Management MCP Servers
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Google Tasks MCP Server Resources
MCP Code Mode: Keeping Tool Responses Out of Agent Context
Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
11 min
Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
Indirect Prompt Injection Defense for MCP Tools: A Technical Guide
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
Google Tasks MCP Server FAQ
Google Tasks MCP server vs direct API integration — what's the difference?
A Google Tasks MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Google Tasks. A Google Tasks MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling Google Tasks at runtime. StackOne provides both.
How does Google Tasks authentication work for AI agents?
Google Tasks authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Google Tasks account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via
origin_owner_id.Are Google Tasks MCP tools vulnerable to prompt injection?
Yes — Google Tasks MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a Google Tasks agent and how do I avoid it?
Context bloat happens when Google Tasks tool schemas and API responses eat your Google Tasks agent's memory, preventing it from reasoning effectively. A single Google Tasks query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my Google Tasks agent can access?
Yes — you can limit which actions your Google Tasks agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my Google Tasks MCP server?
Yes — you can create custom agent actions for your Google Tasks MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Google Tasks's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Google Tasks MCP server?
Skip a Google Tasks MCP server if your integration is purely software-to-software — direct Google Tasks API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call Google Tasks actions at runtime.
What AI frameworks and AI clients does the StackOne Google Tasks MCP server support?
The StackOne Google Tasks MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.
Put your AI agents to work
All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.