Pytheum MCP
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PYTHEUM_API_BASE | No | Override to hit staging or a local stub | https://api.pytheum.com |
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 |
|---|---|
| t_market_contextC | Events (news/social/macro) paired with a specific market. market_ref accepts venue-prefixed id, slug, or URL. |
| t_bundle_contextC | Events paired with any market inside a bundle, deduplicated by event_id. |
| t_find_marketsC | Find prediction markets matching a free-form text query (article body / news headline / question). |
| t_event_related_marketsC | Markets related to a specific event_id from the pytheum-stream firehose. |
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 4 tools
Each tool targets a distinct purpose: bundle context, event-related markets, free-text search, and market context. No overlap in functionality.
All tools use a consistent 't_' prefix and snake_case, but not all follow a strict verb_noun pattern (e.g., 'bundle_context' is noun-like). Still highly uniform.
Four tools is an ideal size for this domain—each tool serves a clear, non-redundant purpose without being too few or too many.
The tool set covers the core operations for retrieving prediction market data: search, context, and event linking. No obvious gaps for a read-oriented server.