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Glama

Server Details

MCP server for Clipkit — gives AI agents a video toolbox via the Clipkit schema.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
clipkit-video/clipkit
GitHub Stars
4

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 4.6/5 across 15 of 15 tools scored. Lowest: 4/5.

Server CoherenceA
Disambiguation5/5

Each tool targets a distinct action and resource (e.g., create_project vs set_project vs load_project; add_element vs edit_element vs delete_element; describe_project vs get_project vs validate_project). There is no ambiguity between tools.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (e.g., add_element, create_project, preview_still, read_docs) using lowercase and underscores. No mixing of styles or vague verbs.

Tool Count5/5

With 15 tools, the set covers project lifecycle operations (creation, modification, validation, preview, asset ingestion, documentation) without being overly bloated or too sparse. Each tool has a clear purpose.

Completeness3/5

The set covers most editing operations but lacks a direct render_video tool, which is referenced in open_in_editor but not provided. This creates a significant gap in the workflow, as users cannot generate the final video output from the MCP server.

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