Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-market-spread what's the current spread between Polymarket and Kalshi on Trump winning?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
market-spread MCP — cross-venue prediction-market landscape scanner.
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Tool | Description |
| Cross-venue prediction-market LANDSCAPE scanner: for one topic, show how 5 venues (Polymarket, Kalshi, Manifold, PredictIt, Futuur) are pricing it side by side and flag divergence. Each venue is queried in parallel; a venue that errors or times out is reported as { reachable: false } and never fails the call. Returns each venue's top matches normalized to { venue, title, implied_probability (0-1 for the main/YES outcome, or null), url, n_outcomes }, plus a divergence summary across venues' top matches. HONESTY: this surfaces WHERE TO LOOK for mispricing — it is NOT an executable-arb tool. A high spread_pp usually reflects different bet shapes, resolution criteria, dates, or thin liquidity, not a real arbitrage. Divergence is only computed when ≥2 venues' top titles share strong token overlap (Jaccard); otherwise divergence is null with a low-match-quality note telling you to compare manually. Verify the questions resolve identically before trading. For executable poly↔kalshi arbitrage (needs order-book depth) use the |
| Single-venue drill-down: fetch one venue's current top 5 matches for a query, each as { title, implied_probability (0-1 or null), url }. Useful after compare_topic to look closer at one venue. Implied probability is the main/YES outcome where available; multi-outcome markets report the top outcome and note it. Keyless. |
Related MCP server: pmxt-mcp
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"market-spread": {
"url": "https://gateway.pipeworx.io/market-spread/mcp"
}
}
}tools/list at https://gateway.pipeworx.io/market-spread/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 1476+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
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 Market Spread data" })The gateway picks the right tool and fills the arguments automatically.
MIT
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Matched Kalshi and Polymarket markets across sports, crypto, weather, and economics over MCP.
Polymarket MCP — prediction-market data via Gamma + CLOB public APIs.
