miEAA3 MCP Server
Server 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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| over_representation_analysisC | Run miEAA over-representation analysis (ORA) for miRNA or precursor. |
| list_enrichment_categoriesC | List available miEAA enrichment categories for a species. |
| mirna_precursor_converterC | Convert between miRNA names and precursor names. |
| mirbase_version_converterB | Convert miRNA identifiers between miRBase versions. |
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 has a clearly distinct purpose: listing categories, converting miRNA identifiers, converting miRNA/precursor names, and running over-representation analysis. There is no overlap or ambiguity between these functions, making tool selection straightforward for an agent.
Three tools follow a consistent verb_noun pattern (list_enrichment_categories, mirna_precursor_converter, over_representation_analysis), while one uses a noun_verb_noun pattern (mirbase_version_converter). This minor deviation slightly reduces consistency but the naming remains readable and predictable overall.
With 4 tools, the server is well-scoped for miRNA enrichment analysis, covering key operations like listing categories, identifier conversion, and analysis. Each tool earns its place without feeling excessive or insufficient for the domain.
The toolset covers essential workflows for miEAA, including data preparation (conversions) and analysis (ORA). A minor gap exists in lacking tools for other analysis types (e.g., gene set enrichment), but agents can still perform core tasks effectively with the provided tools.