dino-markets-mcp
Bridges matched Kalshi and Polymarket prediction-market data to AI agents via MCP, enabling market lookup, cross-venue spread analysis, and arbitrage detection.
README
dino-markets-mcp
Stdio bridge for dino.markets — matched Kalshi + Polymarket prediction-market data for AI agents. The same event matched across both venues, cross-venue spreads, and confirmed arbitrage sized to fillable depth, for Claude, Cursor, and any MCP (Model Context Protocol) client. Market data only — not a broker; not financial advice.
Thin proxy: the bridge holds no tool definitions or schemas. Every tool is served live from the
api.dino.markets HTTP MCP endpoint, so descriptions and schemas are always up to date.
Prefer a remote connection? The server also runs directly at https://api.dino.markets/v2/mcp/
(streamable HTTP) and is listed in the official MCP registry
as markets.dino/mcp — no install needed:
claude mcp add --transport http dino-markets https://api.dino.markets/v2/mcp/
Quick start
{
"mcpServers": {
"dino-markets": {
"command": "npx",
"args": ["-y", "dino-markets-mcp"],
"env": { "DINO_API_KEY": "your-key-here" }
}
}
}
An API key is required. Get one at https://dino.markets/pricing — the Free tier includes MCP access.
Tools
| Tool | What it does |
|---|---|
find_markets |
free-text lookup by team, competition, context, or market title |
list_markets |
the matched cross-venue catalog as canonical Market objects, filterable by category |
find_arbitrage |
confirmed cross-venue Opportunity objects, filterable by sport |
get_market |
one market by id, with settlement disclosure |
get_spreads |
cross-venue price gaps on matched pairs, with verified confidence |
list_categories |
normalized categories, market types, and contextual facets |
report_bad_arb |
flag an Opportunity that looks wrong |
watch_markets |
mint a ticket for the real-time WebSocket stream and return the ws_url |
Env
| Variable | Required | Default | Description |
|---|---|---|---|
DINO_API_KEY |
Yes | — | Bearer token for API access. |
DINO_BASE_URL |
No | https://api.dino.markets |
Override API origin (testing / staging). |
DINO_TIMEOUT |
No | 10000 |
Request timeout in milliseconds. |
Development
npm install
npm run build # tsc -> dist/
Docs
Full API reference and pricing: dino.markets/docs — REST and WebSocket are also available if you'd rather skip MCP, with the OpenAPI spec at api.dino.markets/openapi.json.
MIT © Nusantara Ventures LLC
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.