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Glama

Server Details

On-chain security and intelligence for Base chain trading agents. Token risk analysis, security checks, narrative momentum, and agent trust scores.

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 DescriptionsA

Average 4/5 across 10 of 10 tools scored. Lowest: 3.4/5.

Server CoherenceA
Disambiguation4/5

Most tools have distinct purposes, but some overlap exists. For example, 'security_check' and 'token_risk_analysis' both involve token security, though the latter is more comprehensive. Similarly, 'il_calculator' and 'yield_scanner' both handle impermanent loss, but with different focuses. Descriptions help differentiate them, but agents might occasionally confuse related tools.

Naming Consistency3/5

Naming conventions are mixed, with some tools using snake_case (e.g., 'agent_credit_risk_index') and others using more descriptive phrases (e.g., 'graduation_readiness_check'). There's no consistent verb_noun pattern, but names are generally readable and reflect their functions, albeit with varying styles that could be more uniform.

Tool Count5/5

With 10 tools, the count is well-scoped for a financial intelligence server covering areas like agent analysis, token markets, and risk assessment. Each tool appears to serve a specific purpose without redundancy, making the set manageable and focused on the server's domain.

Completeness4/5

The toolset covers key areas in financial and crypto intelligence, including agent scoring, market data, risk analysis, and technical indicators. Minor gaps exist, such as no direct tool for historical data analysis or portfolio management, but core workflows are well-supported, allowing agents to perform comprehensive assessments without major dead ends.

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