kalyvox-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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_kalyvox_overviewB | Get a concise overview of Kalyvox and what the AI phone receptionist does. |
| get_kalyvox_featuresB | List the main capabilities of the Kalyvox AI phone receptionist. |
| get_kalyvox_integrationsA | List the main integrations available with Kalyvox. |
| get_kalyvox_linksA | Return official product, integration and help-center links for Kalyvox. |
| find_kalyvox_helpA | Return the official Kalyvox help-center URL for a setup, configuration or product question. |
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
Overview and features overlap conceptually, and both get_kalyvox_links and find_kalyvox_help can return help-center URLs. The descriptions provide enough distinction for most use cases, but some misselection is possible.
Tool names follow a consistent get_kalyvox_* pattern with clear noun suffixes. find_kalyvox_help is the only deviation, but it still feels natural and readable.
Five tools is well-scoped for a small informational product server. Each tool covers a distinct area of product information without unnecessary duplication.
The set covers overview, features, integrations, links, and help routing, which addresses the main informational needs for an AI phone receptionist product. Minor gaps such as use cases, pricing, or FAQ content are not exposed, but agents can work around them via the help-center tools.