Inferenceindexer MCP
AI inference pricing for agents: live and historical model prices, provider comparison.
Connector by DesMartin01 · GitHub account verified by the MCP Registry
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Install
Works with Claude Code, VS Code, Codex, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/desmartin01-inferenceindexer-mcp
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Remote endpoint
https://api.inferenceindexer.ai/mcpRemote (HTTP)
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About
Reviews
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Permissions
What this server can do and what it asks for, from its tool list, install config and code. Checked Nov 1, 2026.
- Tools
- 10 read · 0 write · 0 deleteRead-only
- Secrets
- 1 (API keys, tokens or passwords)
- Install scripts
- None found
- Runs as
- Python package
Tools by what they do 10
From the running server's own tool list (tools/list) on Oct 25, 2026.
Read 10 · Look things up without changing anything.
compare_providersexplain_modelget_composite_historyget_composite_latestget_modelget_model_historyget_providerlist_providersrecommend_modelssearch_models
Secrets and settings it asks for
Secrets: values you paste in that let it act as you.
II_API_KEY
Other settings (environment variables or headers).
II_API_BASE
Network hosts it talks to 3
api.inferenceindexer.ai· found in remote endpoint, install command, codegithub.com· found in codeinferenceindexer.ai· found in code
Tools (10)
As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].
compare_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-provider endpoints with pricing, showing where direct provider prices diverge (e.g. from OpenRouter's negotiated rate).
explain_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-history summary with trend, all provider endpoints, the cheapest hand-verified endpoint with its native model id (for hot-swapping), privacy flags (ZDR/EU availability), and the AA intelligence score. Everything is as-of stamped. Args: model_id: Canonical model id, e.g. 'anthropic/claude-sonnet-5'. history_days: Price-history window (default 30, max 365). Returns: complete model profile with pricing, en…
get_composite_historyGet SIT-Composite index history / trend over time. Args: days: History window in days (1-90, default 30). Returns: historical composite index values.
get_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, reflecting what developers actually pay for inference.
get_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'. Returns: pricing, tier, SIT score, quality-adjusted price (Cost/IQ).
get_model_historyGet HISTORICAL price data / trends for one model. This is InferenceIndexer's differentiator: aggregators like OpenRouter expose only current price; this returns the price over time (input, output, blended $/M), enabling trend analysis. Args: model_id: Canonical model id, e.g. 'openai/gpt-5.6'. days: History window in days (1-365, default 30; plan-dependent). Returns: historical price series for the model.
get_providerGet detail for one provider: models, tier breakdown, price range. Args: provider_name: Provider name, e.g. 'DeepInfra', 'Novita', 'Venice'. Returns: provider detail with model list and pricing.
list_providersList all inference providers with model counts and price stats.
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 models ranked by Cost/IQ (quality-adjusted price, lower is better), each with a plain-English 'why', a hot-swap endpoint_config (provider base_url + native model id, ready to call), as-of timestamps, and runner-ups. Args: budget_max_usd_per_m: Max blended price $/M (optional). context_min: Minimum context window in tokens (optional). modality: 'text' (default), 'vision', or 'any'. zdr: Require …
search_modelsSearch and list AI inference models with current pricing. Args: query: Text search on model id/name (optional). tier: Filter by tier: frontier | standard | budget | micro (optional). limit: Max results (1-100, default 25). sort: Sort key: blended | input | output | sit_score | sit_adjusted_price (default sit_adjusted_price). Returns: models with input/output/blended $/M pricing, provider, tier.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Weekly downloads
- 31
- Last commit
- Oct 19, 2026 (16 days ago)
- Last release
- Sep 1, 2026 (2 months ago)
- Last package publish
- Sep 1, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.DesMartin01/inferenceindexer-mcp- Version
- 0.1.1
- Auth
- Auth not stated, API key
- Packages
- pypi inferenceindexer-mcp
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Nov 1, 2026
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Cite this page
Inferenceindexer MCP. Agent Mart. https://agentmart.dev/connectors/desmartin01-inferenceindexer-mcp (last updated 2026-11-01)