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Glama
Shatale-SASU

Shatale MCP Server

Official
by Shatale-SASU

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
SHATALE_API_KEYNoYour Shatale API key (sandbox key sk_sandbox_*). Omit to run in guest 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
{}
prompts
{}
resources
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
explain_shataleA

Entry point. Reports the current mode (GUEST / DEMO(SANDBOX) / LIVE), the tools available in that mode, the recommended first prompt, and how to move from demo to live. Call this first. No API key required.

simulate_purchase_flowA

Simulates the Shatale agent payment lifecycle in guest mode: policy check, approval decision (approved / declined / requires_approval), virtual card step and timeline. No real API call or payment is made. Use this before registering for a sandbox key.

generate_policy_templateB

Generates a spending policy template for a use case AND validates it: risk level, warnings, and recommended controls (approval threshold, max transaction, blocked categories). Never returns a silently unsafe policy. No API key required.

list_capabilitiesA

Lists all capabilities currently available on this MCP server, based on the configured API key mode.

list_mcc_codesA

Search or list MCC (Merchant Category Codes) used for spending policy configuration.

search_merchantsA

Search the Shatale merchant catalog. Find merchants by category, capability, keyword, or country. Returns merchants with their MCP capabilities so you can determine which merchants support agent-driven purchases.

get_merchant_detailsA

Get detailed information about a specific merchant, including their MCP server configuration, available tools, rate limits, and capabilities. Use this after search_merchants to get integration details.

Prompts

Interactive templates invoked by user choice

NameDescription
shopping-policyDraft a spending policy for shopping and try it against simulated purchases
travel-policyDraft a spending policy for travel and try it against simulated bookings
policy-designerDesign a spending policy for an AI agent, then check it against simulated purchases

Resources

Contextual data attached and managed by the client

NameDescription
Shatale Quickstart Guide5-minute guide to get started with Shatale AI agent payments
Policy Engine GuideHow Shatale policies and skills control agent spending
Vertical Use CasesExamples of AI agent payment setups for different industries

TDQS

A4/5.0

Scored across 7 tools

Disambiguation4/5

Most tools have clearly distinct purposes: simulate, generate, search, and explain each target a different workflow step. The only mild overlap is between explain_shatale and list_capabilities, since both can describe what is available in the current mode.

Naming Consistency5/5

Every tool follows a consistent verb_noun snake_case pattern: explain_, simulate_, generate_, list_, search_, and get_. There are no mixed naming conventions or vague action verbs.

Tool Count5/5

Seven tools is well-scoped for an onboarding and discovery server: orientation, simulation, policy generation, capability listing, MCC lookup, merchant search, and merchant details. Each tool earns its place without redundancy.

Completeness4/5

The tool surface covers the full exploration journey from first prompt through policy simulation, validation, and merchant research. The main gap is that registration or progression to sandbox/live mode is explained but not exposed as a tool, leaving a small external workflow step.

Maintenance

ActivityActive
ResponsivenessNo issues