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Glama
AlephantAI

Alephant MCP

Official
by AlephantAI

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
ALEPHANT_PATNoPersonal Access Token for manager mode
ALEPHANT_VIRTUAL_KEYNoVirtual key for read-only scoped mode
ALEPHANT_API_BASE_URLYesBase URL for the Alephant API (required for both modes)
ALEPHANT_WORKSPACE_IDNoWorkspace ID (required when using PAT)
ALEPHANT_RATE_LIMIT_RPMNoRate limit in requests per minute (default 60, use 0 to disable client-side throttling)60

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
}
prompts
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
check_alephant_connectionA

Checks Alephant API connectivity and credential usability for the current MCP mode.

get_usage_summaryA

Returns total spend, requests, and token usage for the selected period.

get_daily_costsA

Returns daily AI spend for the selected period.

get_cost_by_modelA

Breaks down AI spend and request volume by model for the selected period.

list_available_modelsA

Lists models available through Alephant for the current credential scope.

get_my_scopeA

Returns the current virtual key scope, limits, and accessible resources.

get_my_budgetA

Returns budget status for the current virtual key.

get_my_recent_requestsB

Returns recent requests made with the current virtual key.

Prompts

Interactive templates invoked by user choice

NameDescription
cost_audit_report

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.8/5.0

Scored across 8 tools

Disambiguation5/5

Each tool targets a distinct aspect: connection check, cost breakdowns (by model, daily, total), budget status, recent requests, scope, and model listing. No two tools have overlapping purposes.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (e.g., check_alephant_connection, get_cost_by_model, list_available_models) with clear, predictable naming.

Tool Count5/5

With 8 tools, the server is well-scoped for monitoring and managing Alephant API usage. The count is neither too sparse nor excessive.

Completeness4/5

The set covers essential monitoring needs (connection, costs, budget, requests, scope, models). Missing are management actions like updating budgets or keys, but the core monitoring surface is complete.

Maintenance

ActivityInactive
ResponsivenessNo issues