Bargainer 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 |
|---|---|
| search_dealsC | Search for deals across multiple sources based on text query and filters |
| get_top_dealsC | Get top/trending deals from all or specific sources |
| filter_dealsC | Filter deals using advanced criteria |
| get_deal_detailsC | Get detailed information about a specific deal |
| compare_dealsC | Compare similar deals and find the best options |
| get_available_sourcesB | Get list of available deal sources/providers |
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 6 tools
Most tools have distinct purposes, but 'search_deals' and 'filter_deals' could cause some confusion as both involve filtering criteria. The descriptions clarify that search is text-based with filters, while filter uses advanced criteria, but the boundary is slightly fuzzy. Other tools like 'compare_deals', 'get_deal_details', and 'get_top_deals' are clearly differentiated.
All tool names follow a consistent verb_noun pattern with snake_case, such as 'compare_deals', 'filter_deals', 'get_available_sources', 'get_deal_details', 'get_top_deals', and 'search_deals'. The verbs are descriptive and uniform, making the set predictable and easy to understand.
With 6 tools, the server is well-scoped for a bargain/deal-finding domain. Each tool serves a specific function without redundancy, covering key operations like searching, filtering, comparing, and retrieving details. This count is appropriate and manageable for the intended purpose.
The tool set covers core deal-finding workflows, including discovery (search, filter, get top deals), comparison, and detailed viewing. A minor gap is the lack of tools for user-specific actions like saving deals or setting alerts, but the existing tools provide a solid foundation for agent interactions without dead ends.