io.github.DesMartin01/inferenceindexer-mcp
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Publisher-provided description
AI inference pricing for agents: live and historical model prices, provider comparison.
Summary by lookupd
Lets an agent look up, compare and track AI model inference prices across providers, including historical trends and recommendations.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http inferenceindexer https://api.inferenceindexer.ai/mcp
Claude Code, pypi package (stdio)
claude mcp add inferenceindexer -- uvx inferenceindexer-mcp
Codex, remote (streamable-http)
codex mcp add inferenceindexer --url https://api.inferenceindexer.ai/mcp
Codex, pypi package (stdio)
codex mcp add inferenceindexer -- uvx inferenceindexer-mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"inferenceindexer": {
"url": "https://api.inferenceindexer.ai/mcp"
}
}
}Cursor, pypi package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"inferenceindexer": {
"command": "uvx",
"args": [
"inferenceindexer-mcp"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (10 tools)
Publisher-provided text
recommend_modelsRecommend the best-value AI models for given constraints, ranked with receipts. The core answer endpoint: give it constraints and it returns the top modelsexplain_modelGet everything about one model in a single call: the full picture. Returns current pricing (input/output/blended, Cost/IQ, 24h/7d changes), a price-hissearch_modelsSearch and list AI inference models with current pricing. Args: query: Text search on model id/name (optional). tier: Filter by tier: frontget_modelGet full detail + current pricing for one model by its id. Args: model_id: Canonical model id, e.g. 'openai/gpt-5.6' or 'anthropic/claude-sonnet-5'get_model_historyGet HISTORICAL price data / trends for one model. This is InferenceIndexer's differentiator: aggregators like OpenRouter expose only current price; thilist_providersList all inference providers with model counts and price stats.get_providerGet detail for one provider: models, tier breakdown, price range. Args: provider_name: Provider name, e.g. 'DeepInfra', 'Novita', 'Venice'. Retget_composite_latestGet the current SIT-Composite index value + per-tier breakdown. The SIT-Composite is a usage-weighted mean of the top-50 models by token volume, reflecget_composite_historyGet SIT-Composite index history / trend over time. Args: days: History window in days (1-90, default 30). Returns: historical composite index vcompare_providersCompare the price of one model across the providers that host it. Args: model_id: Canonical model id, e.g. 'meta/muse-spark-1.1'. Returns: per-
Details
- Version: 0.1.1
- Transports: streamable-http, stdio
- Uptime (7 days): 100%
- Median latency: 1107 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/DesMartin01/inferenceindexer-mcp
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https://api.lookupd.com/mcp