Bloomy MCP
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 |
|---|---|
| get_query_detailsA | Get detailed information about specific GraphQL queries. |
| get_mutation_detailsA | Get detailed information about specific GraphQL mutations. |
| execute_queryA | Execute a GraphQL query or mutation with variables. |
| get_authenticated_user_idA | Get the ID of the currently authenticated user. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| bloom://queries | |
| bloom://mutations |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose with no overlap: execute_query performs operations, get_authenticated_user_id handles authentication, and get_mutation_details/get_query_details provide metadata. The two detail tools are differentiated by query vs mutation focus, preventing confusion.
All tools follow a consistent verb_noun naming pattern with snake_case: execute_query, get_authenticated_user_id, get_mutation_details, get_query_details. The pattern is predictable and readable throughout the set.
Four tools is well-scoped for a GraphQL-focused server: one for execution, one for authentication, and two for schema introspection. Each tool earns its place without bloat or thin coverage for the domain.
The surface covers core GraphQL workflows well: execution, authentication, and schema details for both queries and mutations. A minor gap is the lack of a tool for subscription details or general schema exploration beyond specific queries/mutations, but agents can work around this.