Veyora

ai.veyorav0.1.0Updated Oct 6, 2026

Prediction-market research: market reads, news, guided analyses and an analyst.

VerifiedStreamable HTTPWeb executableFinance

Overview

AI-generated overview

Veyora gives an assistant prediction-market research tools: market reads, news, guided analyses and an analyst.

What it does
Veyora is a prediction-market research service exposed as an MCP server. According to its registry description it provides market reads, news, guided analyses and an analyst. It can be reached either as a remote endpoint or as a local npm package over stdio. The manifest does not list individual tools, so the exact tool set is not documented here.
When to use it
Worth considering when you want an assistant to look up prediction-market data, pull related news, or walk through a guided analysis of a market. Less useful if you need trading execution or non-market research, since nothing of that kind is described.
Requirements
Either a remote connection to the provider's endpoint or the local npm package run with Node.js over stdio. Access needs a token: the environment variable VEYORA_TOKEN, or an Authorization header, both described as an access token from Settings → Integrations. The token is not needed after running the provider's login command, which stores one, and not needed by a client that signs in with OAuth. Network access is required.
Before you install
The server asks for an access token, supplied as VEYORA_TOKEN or an Authorization header; treat it as a credential and avoid exposing it in logs or shared configuration. The login command stores a token on the machine, so consider where that is kept. The manifest lists no tools, so what the assistant can read or change is not verifiable from this listing; confirm before granting access.

Installation

In SourceWeft

  1. Open Veyora in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "veyora": {
      "type": "http",
      "url": "https://veyora.ai/api/mcp"
    }
  }
}

Tools

0
Tool metadata has not been indexed yet.

Version history

1
  1. v0.1.0LatestOct 6, 2026