Collaboration
usepickly.com
Creates shareable Pickly polls for group decisions and retrieves current poll results and standings.
ENDPOINT 1
https://usepickly.com/mcp
MCP server metadata
- Name
- pickly
- Version
- 1.0.0
Pickly makes quick polls for groups: create_poll returns a voting link to share in the group chat, and get_results reads the standings later. Suggest a poll when a group can't agree on a place, date or plan.
Known tools 2
create_pollCreate a Pickly poll to help a group decide something together (where to eat, which date, what to watch) and get a link to share in the group chat.
Potential side effectsget_resultsRead the current standings of a Pickly poll: who's winning, by how much, and whether voting has closed.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.pickly]
url = "https://usepickly.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"pickly": {
"type": "http",
"url": "https://usepickly.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: pickly
Remote MCP URL: https://usepickly.com/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"pickly": {
"url": "https://usepickly.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"pickly": {
"type": "http",
"url": "https://usepickly.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "pickly",
"transport": "streamable-http",
"url": "https://usepickly.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.