Predicthq
БесплатноНе проверенWraps PredictHQ Events API to enable AI agents to query global event data through natural language, part of Pipeworx gateway.
Описание
Wraps PredictHQ Events API to enable AI agents to query global event data through natural language, part of Pipeworx gateway.
README
PredictHQ MCP — wraps the PredictHQ Events API (predicthq.com)
Part of Pipeworx — an MCP gateway connecting AI agents to 1683+ live data sources.
Tools
| Tool | Description |
|---|---|
search_events |
Search the PredictHQ Events API for real-world events (concerts, sports, conferences, festivals, public holidays, severe weather, etc.) used for demand forecasting. Filter by free-text query, category, country, and an active-date window; results are ranked by predicted impact. Returns each event with its rank, predicted attendance, dates, and location. Example: search_events({ query: "taylor swift", country: "US", category: "concerts", start: "2026-06-01", end: "2026-12-31" }). |
nearby_events |
Find PredictHQ events within a radius of a geographic point (latitude/longitude). Useful for "what is happening near this venue/store/airport" demand-forecasting queries. Filter by category and active-date window; results are ranked by predicted impact. Example: nearby_events({ latitude: 40.7128, longitude: -74.006, radius: "10km", category: "concerts,sports" }). |
get_event |
Fetch a single PredictHQ event by its id, returning its title, category, rank, predicted attendance, dates, and location. Example: get_event({ id: "abcDEF123" }). |
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"predicthq": {
"url": "https://gateway.pipeworx.io/predicthq/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/predicthq/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1683+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
curl -X POST https://gateway.pipeworx.io/v1/tools/predicthq_search_events \
-H 'Content-Type: application/json' \
-d '{"query":"marathon","country":"US","category":"sports","start":"2026-06-01","end":"2026-12-31"}'
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/predicthq_search_events. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"predicthq": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-predicthq"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-predicthq
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Predicthq data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Установка Predicthq
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/pipeworx-io/mcp-predicthqFAQ
Predicthq MCP бесплатный?
Да, Predicthq MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Predicthq?
Нет, Predicthq работает без API-ключей и переменных окружения.
Predicthq — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Predicthq в Claude Desktop, Claude Code или Cursor?
Открой Predicthq на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Opencode Omniroute Plugin
OpenCode plugin for the OmniRoute AI Gateway. Drives dynamic model discovery, /connect auth flow, and multi-instance OmniRoute providers via the official @openc
автор: GitHub ActionsRoblox Studio
Enables AI coding tools to control Roblox Studio for workspace exploration, instance manipulation, and script management. It provides tools for playtesting, sce
автор: paralovAntigravity Drawio
MCP server that enables AI assistants to create, parse, render, and validate Draw.io diagrams programmatically.
автор: S-SUJAN-SFetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzMCP-Agent
A simple, composable framework to build agents using Model Context Protocol by [LastMile AI](https://www.lastmileai.dev)
автор: lastmile-aiSpring AI MCP Client
Provides auto-configuration for MCP client functionality in Spring Boot applications.
mcp.natoma.ai
A Hosted MCP Platform to discover, install, manage and deploy MCP servers by [Natoma Labs](https://www.natoma.ai)
Compare Predicthq with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
