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Inferenceindexer MCP

AI inference pricing for agents: live and historical model prices, provider comparison.

Connector by DesMartin01 · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)Remote (HTTP)
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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/mcp Remote (HTTP)

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About

AI inference pricing for agents: live and historical model prices, provider comparison.

Reviews

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No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
10 read · 0 write · 0 deleteRead-only
Secrets
1 (API keys, tokens or passwords)
Install scripts
Not scanned yet
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_providers
  • explain_model
  • get_composite_history
  • get_composite_latest
  • get_model
  • get_model_history
  • get_provider
  • list_providers
  • recommend_models
  • search_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 1

  • api.inferenceindexer.ai · found in remote endpoint, install command

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_providers

    Compare 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_model

    Get 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_history

    Get SIT-Composite index history / trend over time. Args: days: History window in days (1-90, default 30). Returns: historical composite index values.

  • get_composite_latest

    Get 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_model

    Get 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_history

    Get 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_provider

    Get 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_providers

    List all inference providers with model counts and price stats.

  • recommend_models

    Recommend 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_models

    Search 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
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Forks
0
Open issues
0
Weekly downloads
31
Last commit
Oct 19, 2026 (9 days ago)
Last release
Sep 1, 2026 (1 month ago)
Last package publish
Sep 1, 2026 (1 month 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
Repository
github.com/DesMartin01/inferenceindexer-mcp
First seen
Oct 24, 2026
Last checked
Oct 25, 2026
Source
Official MCP Registrygithub-graphql
Cite this page

Inferenceindexer MCP. Agent Mart. https://agentmart.dev/connectors/desmartin01-inferenceindexer-mcp (last updated 2026-10-25)