meridian-edge-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MERIDIAN_EDGE_API_KEY | No | Your API key from meridianedge.io. The server works out of the box with a free demo key (limited data), but this is required for full access. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_consensusA | Get real-time prediction market consensus probabilities. Returns aggregated consensus from multiple regulated prediction markets. Each event shows the collective probability, trend direction, and how much markets agree (spread). Args: sport: Filter by sport — NBA, NFL, MLB, NHL, MLS, POLITICS, or omit for all active events. limit: Number of events to return (1–20, default 10). Returns: Formatted consensus data with probabilities, trends, and confidence. |
| get_opportunitiesA | Get events where prediction markets show notable divergence. Divergence opportunities are events where regulated prediction markets disagree significantly. Higher scores indicate greater disagreement. This may surface events where information is still being incorporated. Args: min_score: Minimum opportunity score to include (default 5.0). sport: Filter by sport — NBA, NFL, MLB, NHL, MLS, POLITICS, or omit. limit: Number of opportunities to return (1–20, default 10). Returns: Formatted list of divergence opportunities ranked by score. |
| get_signalsA | Get recent market signals showing direction of price moves. Signals indicate notable directional moves in prediction market consensus. Each signal shows whether the market shifted toward YES or NO, and the current status of the market. Args: limit: Number of signals to return (1–10, default 5). Returns: Formatted recent signals with direction and event details. |
| get_marketsA | Get active prediction markets currently being tracked. Shows markets that are open and being monitored for consensus. Use this to see what events are currently available before querying consensus. Args: sport: Filter by sport — NBA, NFL, MLB, NHL, MLS, POLITICS, or omit. limit: Number of markets to return (1–20, default 10). Returns: Formatted list of active markets with status and sport. |
| get_settlementsA | Get recently settled prediction market events with verified outcomes. Shows events that have concluded, with verified outcome data. Useful for checking how recent consensus predictions compared to actual results. Args: limit: Number of settled events to return (1–10, default 5). Returns: Formatted settlement history with outcomes and verification status. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: get_consensus retrieves aggregated probabilities, get_markets lists available markets, get_opportunities finds divergence events, get_settlements shows concluded outcomes, and get_signals tracks directional moves. There is no overlap in functionality, and the descriptions make each tool's unique role immediately apparent.
All tool names follow a consistent verb_noun pattern with 'get_' as the prefix (e.g., get_consensus, get_markets, get_opportunities). This uniformity makes the tool set predictable and easy for an agent to navigate without confusion.
With 5 tools, this server is well-scoped for its domain of prediction market data. Each tool serves a specific, non-redundant function, covering real-time consensus, active markets, divergence opportunities, settlements, and signals, which aligns with typical data retrieval needs in this context.
The tool set provides comprehensive coverage for querying prediction market data, including active, settled, and divergent events, as well as signals. A minor gap is the lack of tools for creating or interacting with markets (e.g., placing bets or managing accounts), but this is reasonable for a read-only data server focused on consensus and analysis.