Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Schema
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| prediction_markets_trending_topics | Use when analysing a user’s portfolio and you need external sentiment from prediction markets. Retrieves today’s trending Polymarket topics (ordered by 24-hour volume).
Pass any slug from this list to Returnsstr A JSON array (string) of topic slugs ordered by 24-hour volume, e.g. '["Trump-Presidency", "Oil-Prices", "Iran"]'. |
| prediction_markets_markets_by_topic | Call after you have a Polymarket topic slug (from the user or
Parameterstopic_slug : str Identifier such as "trump-presidency". limit : int, default 10 Number of markets to return, ranked by 24-hour volume (desc). Returnsstr
JSON array of objects with the schema:
[
{
"title": "Trump to win 2024?",
"volume": 123456.78,
"outcomes": [
{"option": "Yes", "probability": 0.42},
{"option": "No", "probability": 0.58}
]
},
…
]
Parse with |
| search_prediction_markets | Search prediction markets by any term. Parameterssearch_term : str Identifier such as "argentina". Returnsstr
JSON array of objects with the schema:
[
{
"title": "Trump to win 2024?",
"volume": 123456.78,
"outcomes": [
{"option": "Yes", "probability": 0.42},
{"option": "No", "probability": 0.58}
]
},
…
]
Parse with |