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Glama

Server Details

Closed-source remote MCP: model benchmarks, costs, HN signals, tech registry.

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
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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 DescriptionsB

Average 3.7/5 across 29 of 29 tools scored. Lowest: 2.3/5.

Server CoherenceC
Disambiguation2/5

Many tools have overlapping purposes, such as hn_search, hn_tag_search, hn_topic_painpoints, and fetch_recent_discussions all retrieving HN discussions. Similarly, get_entity_trend, get_model_trend, compare_entity_trends, and topic_trend all provide trend data, making it difficult for an agent to select the correct one without deep inspection.

Naming Consistency2/5

Tool names follow mixed conventions: some are verb_noun (compare_entity_trends, fetch_entity_facts), some have an hn_ prefix (hn_attitude, hn_search), and others are noun phrases (community_signal, domain_signal, tech_decision). The inconsistency in prefixes and verb choices reduces predictability.

Tool Count2/5

With 29 tools, the server is heavy and may overwhelm agents. While the broad domain covers multiple platforms and analysis types, many tools are highly specialized and could be consolidated, making the count feel excessive for the apparent scope.

Completeness4/5

The tool set covers a wide range of signal-gathering needs: entity resolution, trends, comparisons, community sentiment, platform-specific searches (HN, Reddit, X, Product Hunt), and decision support. Minor gaps exist, such as a lack of direct sentiment classification (left to the host), but the surface is largely complete for the intended purpose.

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