io.github.DesMartin01/inferenceindexer-mcp is an MCP server with 10 tools an agent can call, among them compare_providers, explain_model, get_composite_history. It answers at https://api.inferenceindexer.ai/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 5 of 6 times since 11 September 2026; the last check, on 19 October 2026, succeeded.
AI inference pricing for agents: live and historical model prices, provider comparison.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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 OpenRout Inputs: model_id |
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 Inputs: model_id, history_days |
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. Inputs: days |
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). Inputs: model_id |
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 Inputs: model_id, days |
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. Inputs: provider_name |
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-Engli Inputs: budget_max_usd_per_m, context_min, modality, zdr, eu_sovereign, reasoning |
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 | zdr | eu (optional). limit: Max results (1-100, default 25). sort: Inputs: query, tier, limit, sort |
Every block below points at https://api.inferenceindexer.ai/mcp. Pick your client and copy.
claude mcp add --transport http io-github-desmartin01-inferencei https://api.inferenceindexer.ai/mcp
{
"mcpServers": {
"io-github-desmartin01-inferencei": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://api.inferenceindexer.ai/mcp"]
}
}
}{
"mcpServers": {
"io-github-desmartin01-inferencei": {
"url": "https://api.inferenceindexer.ai/mcp"
}
}
}{
"servers": {
"io-github-desmartin01-inferencei": {
"type": "http",
"url": "https://api.inferenceindexer.ai/mcp"
}
}
}{
"context_servers": {
"io-github-desmartin01-inferencei": {
"url": "https://api.inferenceindexer.ai/mcp"
}
}
}{
"mcpServers": {
"io-github-desmartin01-inferencei": {
"serverUrl": "https://api.inferenceindexer.ai/mcp"
}
}
}{
"mcpServers": {
"io-github-desmartin01-inferencei": {
"url": "https://api.inferenceindexer.ai/mcp"
}
}
}name: io.github.DesMartin01/inferenceindexer-mcp
version: 0.0.1
schema: v1
mcpServers:
- name: io.github.DesMartin01/inferenceindexer-mcp
type: streamable-http
url: https://api.inferenceindexer.ai/mcp{
"mcpServers": {
"io-github-desmartin01-inferencei": {
"httpUrl": "https://api.inferenceindexer.ai/mcp"
}
}
}{
"mcpServers": {
"io-github-desmartin01-inferencei": {
"type": "http",
"url": "https://api.inferenceindexer.ai/mcp"
}
}
}{
"mcpServers": {
"io-github-desmartin01-inferencei": {
"url": "https://api.inferenceindexer.ai/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fapi.inferenceindexer.ai%2Fmcp&type=streamable_http&id=io-github-desmartin01-inferencei&name=io.github.DesMartin01/inferenceindexer-mcp
It answered our last check on 19 October 2026 in 105 ms. Over 6 checks since 11 September 2026 it answered 5. Status here comes from Neuronto's own probes, not from the publisher.
10, as returned by the server's own tools/list on 12 September 2026: compare_providers, explain_model, get_composite_history, get_composite_latest, get_model, get_model_history, get_provider, list_providers, and 2 more.
It answered our last check on 19 October 2026 in 105 ms. Over 6 checks since 11 September 2026 it answered 5.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://api.inferenceindexer.ai/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.desmartin01. Endpoint host: api.inferenceindexer.ai. ARD identifier: urn:air:io.github.desmartin01:mcp:inferenceindexer-mcp.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.