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Glama
wutchara

Local Fintech MCP Server

by wutchara

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_user_transactionsB

Returns a JSON array of recent mock transactions for a given user.

flag_anomaliesB

Returns transactions for a user that exceed the provided threshold amount.

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 2 tools

Disambiguation3/5

Both tools return transactions for a user, so they overlap substantially in output shape; only the threshold filter distinguishes flag_anomalies. Descriptions clarify the difference somewhat, but an agent could reasonably confuse the two.

Naming Consistency4/5

Both names use a consistent snake_case verb_noun style (get_user_transactions, flag_anomalies). The only minor deviation is that flag_anomalies omits an explicit resource noun, but the pattern is still readable and predictable.

Tool Count2/5

Two tools is thin for a fintech domain that implies accounts, transactions, and anomaly workflows. The surface feels like a stub rather than a scoped toolset.

Completeness2/5

There is read-only coverage of transactions plus a single filtered view, with no create/update/delete, no account or user management, and no way to act on flagged anomalies. Major lifecycle gaps would block most realistic fintech workflows.

Maintenance

ActivityMaintained
ResponsivenessNo issues