timergy

timergy

Create scheduling polls (like Doodle) from AI agents. Find the best time for meetings, dinners, and events. 5 tools: create_poll, get_poll, vote_on_poll, get_results, finalize_poll. No authentication required.

Category
Visit Server

README

@timergy/mcp

Smithery

MCP server for Timergy - the scheduling poll app. Create polls, vote on time slots, and finalize meetings directly from AI agents like Claude, ChatGPT, and Gemini.

No authentication required. Works out of the box.

What is Timergy?

Timergy is a scheduling poll service (like Doodle or When2Meet). You create a poll with time slot options, share it with participants, everyone votes on their availability, and you pick the best time.

Quick Start

Claude Desktop / Claude Code

Add to your MCP config (~/.claude/claude_desktop_config.json or project .mcp.json):

{
  "mcpServers": {
    "timergy": {
      "command": "npx",
      "args": ["@timergy/mcp"]
    }
  }
}

Then just ask:

"Create a poll for dinner next Friday or Saturday evening"

Smithery (Remote, no install)

smithery mcp add timergy/timergy

Or connect directly via https://timergy--timergy.run.tools

Other MCP Clients

Any MCP-compatible client can use this server. Supports stdio (local) and Streamable HTTP (remote at https://api.timergy.com/mcp).

Tools

create_poll

Create a scheduling poll with time slot options.

Parameter Type Required Description
title string yes Poll title
options array yes Time slots ({start, end} in ISO 8601 with timezone)
description string no Poll description
deadline string no Voting deadline (ISO 8601)
location string no Event location
creatorName string no Name shown as poll creator
"Create a poll called 'Team Lunch' with slots on Monday 12-13 and Tuesday 12-13"

Returns: poll URL (to share), passphrase (for admin access), option IDs.

get_poll

Get poll details and time slot options (no votes). Use this to retrieve option IDs before voting or finalizing.

Parameter Type Required Description
pollId string yes Poll UUID
"Show me the details of poll abc-123"

vote_on_poll

Submit votes on a poll. Each vote maps a time slot to yes/maybe/no.

Parameter Type Required Description
pollId string yes Poll UUID
voterName string yes Name of the voter
voterEmail string no Voter email (for notifications)
votes array yes {optionId, availability} where availability is yes/maybe/no
"Vote 'yes' for Monday and 'no' for Tuesday on poll abc-123 as Max"

get_results

See who voted and which time slots are most popular.

Parameter Type Required Description
pollId string yes Poll UUID
"Show me the results for poll abc-123"

finalize_poll

Lock in the winning time slot. Notifies participants who provided an email.

Parameter Type Required Description
pollId string yes Poll UUID
optionId string yes Winning time slot UUID
passphrase string no Admin passphrase (auto-remembered from create_poll)
"Finalize poll abc-123 with the Monday slot"

Workflow

1. create_poll  ->  Get poll URL + passphrase
2. Share URL    ->  Send to participants
3. get_results  ->  See who voted yes/maybe/no
4. finalize_poll -> Pick the best time, lock it in

The passphrase from step 1 is automatically remembered for step 4 within the same session.

REST API

The MCP server calls the Timergy Open API under the hood. You can also use the API directly:

Method Endpoint Description
POST /api/open/polls Create a poll
GET /api/open/polls/:id Get poll details
GET /api/open/polls/:id/options Get time slots
GET /api/open/polls/:id/results Get vote results
POST /api/open/polls/:id/vote Submit votes
POST /api/open/polls/:id/admin-token Get admin token
POST /api/open/polls/:id/finalize Finalize poll

Base URL: https://api.timergy.com

OpenAPI spec: https://api.timergy.com/api/open/openapi.json

Configuration

Environment Variable Default Description
TIMERGY_API_URL https://api.timergy.com API base URL

For local development:

{
  "mcpServers": {
    "timergy": {
      "command": "npx",
      "args": ["@timergy/mcp"],
      "env": { "TIMERGY_API_URL": "http://localhost:4000" }
    }
  }
}

Rate Limits

Action Limit
Create poll 5 per hour
Vote 20 per minute
Get poll/results 60 per minute
Admin token 5 per 10 minutes
Finalize 3 per hour

License

MIT

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