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Glama
BACH-AI-Tools

Recash1 MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
API_KEYYesAPI key for authentication

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

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
searchC

This will filter what you want from the products on the data base

all_productsA

This will gives you all the products with codes on the data base

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

C2.9/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: all_products retrieves all products, and search filters them. There is no overlap.

Naming Consistency3/5

The naming mixes different styles: all_products uses snake_case with a noun, while search is a single verb. While both are recognizable, the lack of a consistent verb_noun pattern reduces clarity.

Tool Count2/5

With only 2 tools, the server feels minimal for a product database. Typical CRUD operations are missing, making the tool set too thin for robust interaction.

Completeness2/5

The tools only support read operations (list all and search). There are no create, update, or delete tools, which are essential for complete product management. This is a significant gap.

Maintenance

ActivityInactive
ResponsivenessNo issues