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Meridian Edge MCP server — prediction market consensus data for AI assistants

Project description

PyPI License: MIT MCP MCP Registry

Meridian Edge MCP Server

Query real-time prediction market consensus data directly from Claude and other AI assistants via the Model Context Protocol.

Ask Claude: "What does the prediction market say about the Lakers game tonight?" and get a live answer.


What It Does

This MCP server gives Claude access to Meridian Edge — aggregated prediction market consensus data from multiple regulated prediction markets, updated every 10 minutes.

5 tools available to Claude:

Tool What it returns
get_consensus Aggregated consensus probabilities for sports/politics events
get_opportunities Events where prediction markets show notable divergence
get_signals Recent directional market moves
get_markets Active markets currently being tracked
get_settlements Recently settled events with verified outcomes

Quick Start

Option 1 — uvx (recommended, no install)

{
  "mcpServers": {
    "meridian-edge": {
      "command": "uvx",
      "args": ["meridian-edge-mcp"]
    }
  }
}

Option 2 — pip install

pip install meridian-edge-mcp
{
  "mcpServers": {
    "meridian-edge": {
      "command": "meridian-edge-mcp"
    }
  }
}

Option 3 — run from source

git clone https://github.com/meridian-edge/meridian-edge-mcp
cd meridian-edge-mcp
pip install -e .
{
  "mcpServers": {
    "meridian-edge": {
      "command": "python",
      "args": ["-m", "meridian_edge_mcp.server"]
    }
  }
}

One-Click Install

Claude Desktop

Open your config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Add to mcpServers:

{
  "mcpServers": {
    "meridian-edge": {
      "command": "uvx",
      "args": ["meridian-edge-mcp"],
      "env": {
        "MERIDIAN_EDGE_API_KEY": "your-api-key-from-meridianedge.io"
      }
    }
  }
}

Restart Claude Desktop. You'll see the Meridian Edge tools in Claude's tool panel.

VS Code

Add to .vscode/mcp.json in your project:

{
  "servers": {
    "meridian-edge": {
      "command": "uvx",
      "args": ["meridian-edge-mcp"],
      "env": {
        "MERIDIAN_EDGE_API_KEY": "your-api-key"
      }
    }
  }
}

Cursor IDE

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "meridian-edge": {
      "command": "uvx",
      "args": ["meridian-edge-mcp"],
      "env": {
        "MERIDIAN_EDGE_API_KEY": "your-api-key"
      }
    }
  }
}

Windsurf IDE

Add to Windsurf MCP config:

{
  "mcpServers": {
    "meridian-edge": {
      "command": "uvx",
      "args": ["meridian-edge-mcp"],
      "env": {
        "MERIDIAN_EDGE_API_KEY": "your-api-key"
      }
    }
  }
}

Try It Now

Ask Claude:

  • "What's the prediction market consensus on the Lakers game?"
  • "Show me events where prediction markets disagree"
  • "What markets settled today?"

Example response:

Lakers vs Celtics
  Consensus: 62% (YES)
  Sources: 5 regulated markets
  Confidence: HIGH
  Spread: 8.3%

API Key

The server works out of the box with a free demo key (limited data).

For full access, get a free API key at meridianedge.io — no credit card required, instant signup.

Set it as an environment variable:

export MERIDIAN_EDGE_API_KEY=your_key_here

Or in your Claude Desktop config (see above).

Free plan: 100 calls/day — enough for personal use.


Example Prompts

Once configured, ask Claude:

Game consensus:

"What's the prediction market consensus on tonight's NBA games?"

"What are prediction markets saying about the Lakers vs Warriors?"

"Show me NFL prediction market probabilities for this week"

Divergence / opportunities:

"Which prediction markets are showing the most disagreement right now?"

"Show me events where prediction markets disagree — NBA only"

"What are today's highest-scoring divergence opportunities?"

Signals:

"What prediction market signals fired in the last hour?"

"Show me the most recent market moves"

Markets:

"What prediction markets are active right now?"

"List active NHL prediction markets"

History:

"How did recent prediction market consensus perform? Show settled events"

"What outcomes were predicted correctly in the last batch?"


Example Output

PREDICTION MARKET CONSENSUS — NBA (3 events)

1. NBA: ATL vs DET (2026-03-25)
   Consensus: 46.6% YES  |  Spread: 1.6%  |  Confidence: MEDIUM
   Trend (30min): ↓ -23.3%  |  Platforms: 2  |  ▃▃▄▄▇▆
   Updated: 2026-03-26 01:15 UTC

2. NBA: BOS vs OKC (2026-03-25)
   Consensus: 39.0% YES  |  Spread: 1.2%  |  Confidence: LOW
   Trend (30min): ↑ +3.5%  |  Platforms: 2  |  ▆▆▆▆▆▄
   Updated: 2026-03-26 01:15 UTC

3. NBA: CLE vs MIA (2026-03-25)
   Consensus: 57.0% YES  |  Spread: 0.8%  |  Confidence: HIGH
   Trend (30min): → stable  |  Platforms: 2  |  ▆▆▆▇▇▇
   Updated: 2026-03-26 01:15 UTC

For informational purposes only. Not investment advice.
Source: Meridian Edge — meridianedge.io

Data Coverage

  • Sports: NBA, NFL, MLB, NHL, MLS, college sports, boxing
  • Politics: US elections, ballot measures
  • Economics: Federal Reserve rate decisions, macro indicator markets
  • Update frequency: Every 10 minutes during active market hours

Pricing

Tier Price Calls/day Features
Free $0 100 Consensus probabilities, active markets
Starter $29/mo 500 + Opportunities, signals, spread data
Pro $99/mo 5,000 + Fair value, platform breakdown, history
Teams $499/mo 50,000 + Team seats, priority support

Full pricing →


AI Platform Integrations

Use Meridian Edge consensus data directly inside major AI platforms — no code required:

Platform Link Notes
ChatGPT Open Custom GPT No setup — just open and ask
Claude (this repo) MCP install guide Claude Desktop / Cursor via MCP
Gemini Open Gem No setup — just open and ask

Links


Also Available On


License

MIT — see LICENSE

For informational purposes only. Not investment advice. Data aggregated from publicly available prediction market sources. © 2026 VeraTenet LLC d/b/a Meridian Edge.

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