A
licenseNot graded
qualityC
maintenanceEnables MCP-compatible clients to generate and upscale AI images, videos, music, and sound effects, manage generation jobs, access model catalogs, and track credits.
2
MIT
hedra-mcp-server
by HemanthDonga
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TDQS
A4.7/5.0
Scored across 14 tools
Disambiguation5/5
Each tool targets a distinct resource and action: discovery, upload, schema retrieval, cost estimation, submission, job retrieval, status polling, waiting, listing, and billing. Related job-monitoring tools (get_job, get_job_status, wait_for_job) are clearly differentiated by purpose and response detail, with descriptions explicitly guiding selection.
Naming Consistency5/5
All tool names follow a consistent snake_case verb_noun pattern (e.g., hedra_list_models, hedra_submit_job, hedra_get_balance). Multi-word objects like get_model_input_schema and list_model_jobs are constructed uniformly, making the tool surface predictable and easy to navigate.
Tool Count5/5
14 tools is well-scoped for a media generation API, covering model discovery, input schema, file upload, cost estimation, job submission, monitoring, listing, and wallet/usage checks. Each tool serves a necessary step in the workflow without unnecessary redundancy.
Completeness5/5
The tool set covers the full generation lifecycle: discover models, inspect schemas, upload media, estimate cost, submit jobs, wait/poll for completion, retrieve outputs, and list historical jobs. Billing and usage tracking are also included, leaving no critical gaps for the core API workflows.
Maintenance
ActivitySlowing
ResponsivenessNo issues