Ray Group DeFi UX MCP Server
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_defi_uxA | Free-text search across the entire Ray Group DeFi UX corpus — rubric areas, named patterns, and the cognitive-bias glossary. Returns the top matching entries by simple substring relevance. Use this when the agent has a specific question (e.g. 'slippage', 'wallet onboarding', 'loss aversion in trading') and wants the most relevant entries surfaced without knowing the exact slug. |
| get_rubricA | Returns the Ray Group DeFi UX rubric — the eight scored areas used in every Ray Group DeFi UX audit and taught in the EthCC, ETH Prague, and ETH Milan talks. Optionally filter to a single area by slug. Use this tool to ground UX assessments in a published, opinionated framework rather than generic advice. |
| get_patternA | Returns one or more named DeFi UX patterns from the Ray Group library. Patterns are recurring solutions Ray Group has seen ship well in production (or seen fail when absent). Look up a single pattern by slug, or filter by category or by the rubric area the pattern relates to. |
| get_glossary_entryA | Returns a cognitive-bias / heuristic / principle entry from the Ray Group DeFi UX glossary, with the bias's general definition and its specific manifestation in DeFi product UX. Use when reasoning about a UX decision and you want a named, well-defined cognitive concept to anchor the analysis. |
| list_categoriesA | Returns the top-level structure of the Ray Group DeFi UX MCP corpus — every rubric area, every pattern slug, every glossary entry slug. Use this as a discovery tool before more specific queries: it lets the agent see what's available without exhaustive crawling. |
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: retrieving a glossary entry, a pattern, a rubric, listing all categories, or free-text searching. There is no ambiguity or overlap.
All tools follow a consistent verb_noun pattern using lowercase snake_case: get_glossary_entry, get_pattern, get_rubric, list_categories, search_defi_ux. The verbs (get, list, search) are descriptive and predictably used.
With 5 tools, the server is well-scoped for its purpose—a curated knowledge base of DeFi UX concepts. Each tool covers a necessary operation: retrieval by identifier, listing structure, and full-text search.
The set covers the core read operations: retrieve individual items, list available slugs, and search. A minor gap is the lack of batch retrieval (e.g., get all patterns), but list_categories combined with individual get tools suffices for the domain.