Skip to main content
Glama
verdonz

Verdonz MCP

Official
by verdonz

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
VERDONZ_MOCKNoSet to true to use fictional demo data without a network connection.
VERDONZ_API_KEYNoYour Verdonz API key.
VERDONZ_BASE_URLNoThe base URL of the Verdonz API. Required in production mode.

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
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
verdonz_list_metricsC

List governed metric definitions the identity can access.

verdonz_get_metricC

Get the definition and metadata for a governed metric.

verdonz_list_datasetsC

List governed datasets/data sources available to the identity.

verdonz_askC

Ask a business question through Verdonz governed semantic data.

verdonz_investigateC

Investigate why a governed metric changed. Production availability depends on the connected Verdonz API.

verdonz_get_evidenceC

Retrieve source/lineage evidence for a Verdonz result when supported.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3/5.0

Scored across 6 tools

Disambiguation4/5

list_metrics/get_metric and list_datasets are clearly distinct, and get_evidence is a well-separated retrieval role. verdonz_ask and verdonz_investigate are the closest pair, but the descriptions (business question vs. root-cause investigation) give enough signal to separate them.

Naming Consistency4/5

All tools share the verdonz_ prefix and use a consistent verb-first style (list_, get_, ask, investigate). Minor deviation: ask and investigate omit the noun object that the other four include, but the pattern remains readable and predictable.

Tool Count5/5

Six tools is well-scoped for a governed semantic-data Q&A surface, with each tool earning its place (two listers, two getters, one ask, one investigate). Nothing feels padded or missing at this granularity.

Completeness4/5

Covers the core read lifecycle: discover datasets and metrics, ask questions, investigate metric changes, and pull evidence/lineage. Minor gaps around deeper lineage traversal or metric comparison exist, but agents can work around them via ask/investigate.

Maintenance

ActivityMaintained
ResponsivenessNo issues