@lobstack/mcp
OfficialRelated Servers
Alternatives to @lobstack/mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to browse a live catalog of 100+ models with pricing, rankings and measured uptime, check credits and spend, and send chat completions through an OAuth-authenticated, per-connection key capped by a spend limit. Read tools are free, and paid calls are priced and approved before any credit is used.MIT
- FlicenseNot gradedqualityAmaintenanceEnables MCP clients to discover and use pooled free LLM chat routes and models across multiple providers through an OpenAI-compatible gateway, with automatic failover and keyless operation when available. It supports routing for coding agents and other tools without requiring separate provider integrations.-
- FlicenseNot gradedqualityAmaintenanceEnables MCP clients to query and chat through a pool of free LLM providers behind a single OpenAI-compatible gateway. It exposes routing across enabled keyless, free-tier, and pinned provider routes, with automatic failover and model catalog access.-
- FlicenseNot gradedqualityAmaintenanceExposes an MCP interface that lets agents route chat requests across a pooled catalog of free LLM provider routes through a single OpenAI-compatible endpoint, with automatic failover, usage tracking, and keyless start when an enabled route is available. It also lets clients query live capacity and provider health, capacity status, and available models without leaving the agent workflow.-
- FlicenseNot gradedqualityAmaintenanceExposes a pooled set of free-tier, keyless, and pinned LLM chat routes behind one OpenAI-compatible gateway, letting MCP-capable agents query models, inspect available routes and models, and let routing, failover, and provider health be handled automatically. It enables running coding agents and other tools against free models without managing individual provider credentials.-
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients to browse and compare model catalogs, pick models by budget or context window, and run completions metered to the caller's own API key.MIT
TDQS
Scored across 4 tools
Each tool targets a clearly distinct concern: route_preview scores/routes without spending, models lists the catalog, chat performs the actual paid call, and spend reports usage. The overlap risk between route_preview and chat is explicitly resolved by descriptions clarifying one runs no inference while the other spends money.
All tools share a consistent 'lobstack_' prefix and are snake_case, so they scan as one family. Suffix styles vary though — route_preview is verb_noun while models, chat and spend are bare nouns/verbs — a minor inconsistency but still readable and predictable.
Four tools is on the lean side but each earns its place and maps to a real workflow stage (discover, preview, execute, audit). Slightly thin, though appropriate for a focused gateway server.
The surface covers the core lifecycle: model discovery, routing/cost preview, the paid completion call, and spend auditing. Minor gaps exist (e.g. no embeddings, streaming controls, or key/scope management), but agents can accomplish the primary gateway tasks without dead ends.