Mirai MCP
Mirai MCP server
Official MCP server for the Mirai affordable chat completions API.
npx -y @satuapps/mirai-mcpGuest quota works without a key. Set MIRAI_API_KEY for paid calls.
Client configs: mcp/README.md.
This repository is the public source for @satuapps/mirai-mcp. No application server code is included.
Available Tools
3 toolsaccount_statusBalance and quotaARead-onlyIdempotent
Read remaining guest quota when MIRAI_API_KEY is unset, or paid balance and subscription windows when a key is set. Does not send a chat. Use list_models for prices.
Inputs: no named parameters.
call_modelCall Mirai modelA
Send a chat completion to Mirai and return the assistant text. Use this only to generate a reply. Do not use this to look up prices or remaining quota; use list_models or account_status. Works without MIRAI_API_KEY while daily guest quota remains. With a key, uses the paid chat completions API.
Inputs: messages (required), model, max_tokens.
list_modelsModel catalog and pricingARead-onlyIdempotent
Read the live Mirai catalog and public USD price per million tokens. Use this before choosing a model. Does not send a chat. No API key required.
Inputs: no named parameters.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: account_status for quota/balance, call_model for sending chat completions, and list_models for model catalog and prices. There is no overlap or ambiguity.
Two tools use a verb_noun pattern (call_model, list_models) while account_status is noun_noun, creating a minor inconsistency. However, all names are clear and follow a consistent lowercase snake_case style.
With only 3 tools, the set is on the low end of the typical range, but each tool serves a necessary function for the Mirai API. It is well-scoped and not overloaded.
The tool surface covers the core operations: checking account status, sending chat completions, and listing models. There are no obvious gaps, though advanced features like streaming or conversation management are absent.
Maintenance
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