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Glama

AgentHC Market Intelligence

Server Details

Market intelligence for AI agents. Real-time data, cross-market analysis, and regime detection.

Status
Unhealthy
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 DescriptionsC

Average 2.7/5 across 4 of 4 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool has a clearly distinct purpose: get_crypto_data focuses on cryptocurrency metrics, get_economic_calendar on scheduled economic events, get_market_snapshot on broad real-time market overviews, and get_news_sentiment on news-based sentiment analysis. There is no overlap in scope, making tool selection straightforward for an agent.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with 'get_' as the prefix, followed by descriptive nouns (crypto_data, economic_calendar, market_snapshot, news_sentiment). This uniformity enhances predictability and readability across the toolset.

Tool Count4/5

With 4 tools, the count is reasonable for a market intelligence server, covering key areas like crypto, economics, market overviews, and news. It is slightly lean but well-scoped, as each tool serves a distinct function without redundancy, though additional tools for deeper analysis could be considered.

Completeness4/5

The toolset provides comprehensive coverage for market intelligence, including data retrieval for crypto, economics, real-time snapshots, and news sentiment. Minor gaps exist, such as lack of tools for historical data analysis or predictive modeling, but core workflows are adequately supported without dead ends.

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