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Glama

Server Details

Zero-Ops deploy of a private AI workspace to your own VPS — from your AI chat. Free and open-source.

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 4.5/5 across 8 of 8 tools scored.

Server CoherenceA
Disambiguation4/5

Most tools have distinct purposes (status, info about different aspects, address retrieval, recommendation, deploy, retry). However, get_ai_development_loop_info and get_ai_workspace_architect_info both return diagrams and explanations, which could cause minor confusion, but descriptions clarify their separate domains.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., check_status, get_project_info). No mixing of styles, predictable and clear.

Tool Count5/5

With 8 tools, the set is well-scoped for a deployment and information server. Each tool addresses a necessary step or query without redundancy or bloat.

Completeness4/5

The tool surface covers the full deployment lifecycle (recommend, deploy, check status, retry, get address) plus comprehensive info. Minor gaps like cancellation or log streaming are absent but not critical for the server's stated purpose.

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