MCP server
Inferenceindexer
io.github.DesMartin01/inferenceindexer-mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
AI inference pricing for agents: live and historical model prices, provider comparison.
Working at last checkAbout 1,981 tokens per request once connected10 tools
https://api.inferenceindexer.ai/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 10
- Token cost
- About 1,981 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http inferenceindexer-mcp https://api.inferenceindexer.ai/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.inferenceindexer-mcp] url = "https://api.inferenceindexer.ai/mcp"
Gemini CLI
{"mcpServers":{"inferenceindexer-mcp":{"httpUrl":"https://api.inferenceindexer.ai/mcp"}}}
Cursor
{"mcpServers":{"inferenceindexer-mcp":{"url":"https://api.inferenceindexer.ai/mcp"}}}
VS Code
{"servers":{"inferenceindexer-mcp":{"type":"http","url":"https://api.inferenceindexer.ai/mcp"}}}
Antigravity
agy mcp add inferenceindexer-mcp https://api.inferenceindexer.ai/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"inferenceindexer-mcp","server_url":"https://api.inferenceindexer.ai/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"inferenceindexer-mcp","server_url":"https://api.inferenceindexer.ai/mcp"}
Tools
compare_providers~145 tokens
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~260 tokens
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), prget_composite_history~106 tokens
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~102 tokens
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~123 tokens
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~205 tokens
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.get_provider~122 tokens
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~54 tokens
List all inference providers with model counts and price stats.recommend_models~612 tokens
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 (providersearch_models~252 tokens
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
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