gametheory-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| 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 |
|---|---|
| gt_negotiation_sell_next_offerA | Sell-side next-offer recommendation. pareto_knob ∈ [0, 1] interpolates between deal-rate-max (0) and H2H-margin-max (1). Returns the recommended offer (in our utility space), acceptance probability, expected payoff, and the inferred posterior over the buyer's WTP. |
| gt_negotiation_buy_next_offerC | Buy-side next-offer recommendation with a defense bundle. If
|
| gt_negotiation_detect_anchor_attackA | Z-score the opponent's opening offer against a market prior {mu, sigma}. Recommends ignore / counter_with_market / walk_away. |
| gt_auction_optimal_bidC | Optimal bid for {first_price | second_price_vickrey | english_ascending}. Vickrey is truthful. First-price uses the BNE for symmetric IPV. |
| gt_auction_optimal_reserveC | Myerson optimal reserve from virtual-value-equal-seller-valuation. |
| gt_auction_format_recommendationC | Recommend format from {first_price, vickrey, english} given weights. |
| gt_auction_simulateC | Monte Carlo auction revenue + efficiency. |
| gt_mechanism_gale_shapleyA | Stable matching via deferred acceptance. Proposers/receivers each have {id, preferences} (and optional capacity for receivers). Returns a proposer-optimal stable matching plus a blocking-pair sanity check. |
| gt_mechanism_optimal_auction_designC | Myerson revenue-optimal mechanism for asymmetric IPV. Per-bidder reserves; collapses to second-price-with-reserve under symmetric IPV. |
| gt_mechanism_posted_price_optimalC | Gallego-van Ryzin posted-price (static p* + dynamic backward-DP schedule). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ryuxik/gametheory-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server