Fireworks AI MCP by usefulapi
Server Details
Inspect Fireworks AI models, deployments, datasets and fine-tuning jobs.
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- Status
- Unhealthy
- Uptime
- 0.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- m190/usefulapi-mcp
- GitHub Stars
- 0
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 14 tools
Each tool pairs a distinct action (create, delete, get, list) with a specific resource (dataset, deployment, model, etc.). The only potentially close pair, list_deployments and list_deployed_models, is clarified by descriptions explaining serving instances vs model↔deployment bindings.
All 14 tools follow the same fireworks_verb_noun pattern with consistent snake_case, making the set highly predictable.
14 tools is appropriate for a control-plane API spanning multiple resources; each tool maps to a distinct endpoint without redundancy.
The surface is read-heavy and misses core write operations: no create_deployment, create_fine_tuning_job, or create_model, and no update/delete for most resources (datasets, models, jobs). Agents cannot perform essential Fireworks workflows like deploying a model or launching fine-tuning.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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