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Glama

Server Details

Rams is a design reviewer for UI code. The MCP server puts the hosted engine inside a coding agent: the agent passes files to the review_files tool and gets back a 0–100 score with file:line issues and concrete fixes — accessibility, color, typography, spacing, components, UX, motion, craft, and native SwiftUI. Same engine and scoring as the Rams GitHub App. 258 rules, published at rams.ai/rules. Free tier: 30 reviews/month.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 4.6/5 across 2 of 2 tools scored.

Server CoherenceA
Disambiguation5/5

The two tools have completely distinct purposes: review_files performs design reviews of UI code, while usage checks how many reviews remain. There is no overlap or ambiguity between them.

Naming Consistency4/5

Tool names follow a simple pattern but are slightly inconsistent: 'review_files' uses verb_noun, while 'usage' is a single noun. This is understandable given the small scope but deviates from a fully consistent pattern.

Tool Count3/5

With only two tools, the server feels minimal but still appropriate for its focused purpose of performing design reviews and checking usage. It is slightly thin but not under-scoped.

Completeness4/5

The core workflow of reviewing UI files is covered, and the usage tool provides necessary status information. Minor gaps exist (no tool to list past reviews or configure settings), but the essential functionality is present.

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