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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

A3.7/5.0

Scored across 14 tools

Disambiguation5/5

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.

Naming Consistency5/5

All 14 tools follow the same fireworks_verb_noun pattern with consistent snake_case, making the set highly predictable.

Tool Count5/5

14 tools is appropriate for a control-plane API spanning multiple resources; each tool maps to a distinct endpoint without redundancy.

Completeness2/5

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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