Timergy MCP Server

SSE

by timergy-app

1.5k downloads Not rated yet

GitHub Website

About

Create scheduling polls and find the perfect meeting time. No auth required.

Details

Transport: SSE

Explore

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Timergy MCP Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

`create_poll`

Create a Timergy scheduling poll (like Doodle) where participants vote on preferred time slots. Provide a title and at least 2-5 time slot options with ISO 8601 date-times (include timezone, e.g. 2026-03-20T18:00:00+02:00 or use UTC with Z suffix). Returns a shareable URL to send to participants and a passphrase for admin access. The passphrase is automatically remembered for finalize_poll. Workflow: create_poll -> share URL -> wait for votes -> get_results -> finalize_poll.

`get_poll`

Get poll metadata and time slot options (but NOT votes). Returns title, status, deadline, location, and all available time slots with their option IDs. Use this to retrieve optionId values needed for vote_on_poll or finalize_poll. To see who voted, use get_results instead.

`vote_on_poll`

Submit votes on a Timergy poll. First call get_poll to retrieve the available optionId values. Each vote maps an optionId to an availability: 'yes' (available), 'maybe' (might work), or 'no' (unavailable). A unique voter token is auto-generated per voter name. Resubmitting with the same voter name updates previous votes.

`get_results`

Get voting results for a Timergy poll, showing who voted yes/maybe/no for each time slot. Use this after participants have voted to see which slot has the most availability. To finalize, pick the optionId with the most 'yes' votes and call finalize_poll.

`finalize_poll`

Finalize a poll by picking the winning time slot. Call get_results first to find the best optionId. Uses the passphrase auto-saved from create_poll. If the MCP server was restarted since poll creation, provide the passphrase manually. This locks the poll and notifies participants who provided an email.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

{
    "server": {
        "command": "npx",
        "args": [
            "-y",
            "@timergy/mcp"
        ]
    }
}

Transport

"stdio"

Package

"@timergy/mcp"

Registry

"npm"

MCP server forTimergy- 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.

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.

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

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

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

Or connect directly viahttps://timergy--timergy.run.tools

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

Create a scheduling poll with time slot options.

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

"Show me the details of poll abc-123"

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

"Vote 'yes' for Monday and 'no' for Tuesday on poll abc-123 as Max"

See who voted and which time slots are most popular.

"Show me the results for poll abc-123"

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

"Finalize poll abc-123 with the Monday slot"

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.

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

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

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

The 1Password MCP server creates a bridge that allows MCP clients such as Codex and Kiro to manage your 1Password Environments with secure authorization prompts.

Browser automation framework with savable auth profiles and compliance options viable to enterprise developments.

Hosted notes MCP server: full-text and semantic search, tags, folders, note CRUD, and spaced-repetition review over your notes, bookmarks, and feeds (OAuth 2.1, remote endpoint https://mcp.dexi.net/mcp).

A server for comprehensive Google Sheets integration, requiring Google OAuth credentials.

24 AI-callable tools for API mocking, chaos engineering, security scanning, SSL checks, CORS debugging, OpenAPI validation, JWT decoding, HAR analysis, distributed tracing, webhook capture, automation workflows, and uptime monitoring. Supports OAuth2 and Bearer token auth.

Chargeable weight calculator for air, road, sea LCL and courier freight — standard volumetric divisors, custom override, no auth. Endpoint: https://kubik-mcp.m-kubriak.workers.dev/mcp

Read your 90-day life reboot plans and check subscription status via OAuth-protected MCP.

Create, send, e-sign, and track PandaDoc documents from any AI client — search templates, create from templates, send for signature, and check status via OAuth.

Business management platform controlled entirely through conversation. Describe your business and AI builds your complete system — tables, views, dashboards, chatbot — in 2 minutes. 40+ MCP tools, 26 industry templates, free. Remote server with OAuth 2.1 + PKCE at https://runikapp.com/mcp

Production-ready Model Context Protocol server for ServiceNow platform integration - ITOM, ITSM, CMDB with OAuth, natural language queries, and enterprise security controls

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

About

Details

Explore

Setting up with Highlight

create_poll

get_poll

vote_on_poll

get_results

finalize_poll

Claude Desktop / Cursor

McpServers

Transport

Package

Registry

More like this

Time

Github SSE

Npx Y convex@latest mcp start

Inbox Zero

`create_poll`

`get_poll`

`vote_on_poll`

`get_results`

`finalize_poll`