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Glama

Server Details

15 media & data tools for AI agents: search, transcribe, subtitles, voiceover, translate & more.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
krakonjac300-pixel/agent-media-toolkit-mcp
GitHub Stars
0

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 2.9/5 across 15 of 15 tools scored.

Server CoherenceA
Disambiguation4/5

Most tools have clear, distinct purposes (e.g., edit_clip vs. find_clips vs. transcribe). Some potential confusion exists between 'extract' (get full text from URL) and 'summarize' (summarize text or URL), but descriptions clarify the difference.

Naming Consistency2/5

Tool names are inconsistent: some are single verbs (e.g., 'extract', 'moderate', 'script') while others use verb_noun pattern (e.g., 'edit_clip', 'media_info'). This mixed convention reduces predictability.

Tool Count4/5

15 tools is slightly high but still reasonable for a broad media toolkit covering creation, search, moderation, and more. Each tool appears to serve a distinct function, so no obvious bloat.

Completeness4/5

The tool set covers a wide range of media operations: clip discovery, editing, transcription, voiceover, translation, web scraping, news, and moderation. Minor gaps exist (e.g., no direct video upload or image processing) but core workflows are supported.

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