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Glama
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Server Details

AI agent infrastructure: dedup, cost prediction, validation, governance, failure intelligence.

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 4.3/5 across 15 of 15 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool has a clearly distinct purpose, grouped by functionality (cost, dedup, guardrails, pitfalls, quality, rigor). Descriptions clearly differentiate within groups, so an agent can reliably select the correct tool.

Naming Consistency5/5

All tool names follow a consistent pattern of lowercase with underscores, using category prefix (burnrate_, dedupq_, guardrail_, etc.) followed by a descriptive verb or noun. No naming mix-ups.

Tool Count5/5

15 tools cover multiple distinct capabilities (cost management, deduplication, guardrails, pitfalls, quality, workflows) without being excessive. Each tool has a clear role, and the count is appropriate for the server's scope.

Completeness4/5

The tool surface covers core workflows well, but there are minor gaps: no tool to delete/update guardrail policies, no explicit qualitygate rule management, and no workflow cancellation tool. Also, 'qualitygate_trends' is referenced but not provided as a tool. Overall, agents can work around these gaps.

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