# io.github.DesMartin01/inferenceindexer-mcp

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

- name: io.github.DesMartin01/inferenceindexer-mcp
- version: 0.1.1
- connection class: R0 (autonomous)
- trust: 91/100
- quality: 80/100 (good)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.DesMartin01%2Finferenceindexer-mcp
- tools: https://api.protogrid.dev/v1/servers/io.github.DesMartin01%2Finferenceindexer-mcp/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "inferenceindexer-mcp": {
      "type": "http",
      "url": "https://api.inferenceindexer.ai/mcp"
    }
  }
}
```


## Trust

- hygiene: 100
- liveness: 99
- freshness: 85
- provenance: 80
- drivers: +repository +namespace-matches-repo +reachable +uptime-97% ~updated-49d-ago
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 80/100 (good)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 64 (weight 30)

- pass `tools.descriptions`: every tool has a description
- warn `tools.description_length`: 1 tools have descriptions over 1,024 characters, which crowds the context
- pass `tools.schemas`: every tool has an object input schema
- fail `tools.annotations`: no tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_composite_history (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_model_history (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); compare_providers (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
- pass `tools.token_cost`: about 1,611 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: 2 tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: 100 (weight 15)

- pass `deps.known_vulns`: no known advisory in 30 resolved packages
- pass `deps.mcp_sdk_version`: mcp 1.30.0, no known advisory
- pass `deps.resolvable`: inferenceindexer-mcp@0.1.1 resolved: 30 packages

- tools: 10, about 1,611 tokens to load them all
- tool set hash: 671376888688bbf9d0f232be6fec02be
- tools last changed: 2026-10-20T14:17:42.250Z
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.DesMartin01/inferenceindexer-mcp.svg)](https://protogrid.dev/servers/io.github.DesMartin01/inferenceindexer-mcp)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

- 2026-10-20 `search_models` changed (description)
  - before: 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: Sort key, e.g. 'blended' (price), 'sit' (SIT score) (optional). Returns: models with input/output/blended $/M pricing, provider, tier.
  - after: 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.
- 2026-10-20 `recommend_models` changed (description, inputSchema)
  - before: 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 zero-data-retention providers (optional). eu_sovereign: Require EU-sovereign providers (optional). reasoning: Filter reasoning models (null = any, true/false). limit: Max recommendations (1-20, default 5). Returns: ranked recommendations with endpoint_config and ranking evidence.
  - after: 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 zero-data-retention providers (optional). eu_sovereign: Require EU-sovereign providers (optional). reasoning: Filter reasoning models (null = any, true/false). aa_min: Hard floor on the AA Intelligence Index score (quality gate). use_case: Task profile: support | volume | extraction | summarization | coding | research. prefer_callable: Demote models without a verified call recipe below callable ones. limit: Max recommendations (1-20, default 5). Returns: ranked recommendations with endpoint_config and ranking evidence.

Full history: https://api.protogrid.dev/v1/servers/io.github.DesMartin01%2Finferenceindexer-mcp/changes

## Dependencies

- pypi inferenceindexer-mcp@0.1.1: resolved, 29 dependencies, MCP SDK mcp 1.30.0

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0.

## Remotes

- https://api.inferenceindexer.ai/mcp (streamable-http, auth none, reachable true, uptime30d 0.974359)

## Packages

- pypi inferenceindexer-mcp@0.1.1 secrets: II_API_KEY

## Tools (10)

- `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, endpoints, privacy, quality.
    
- `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 zero-data-retention providers (optional).
        eu_sovereign: Require EU-sovereign providers (optional).
        reasoning: Filter reasoning models (null = any, true/false).
        aa_min: Hard floor on the AA Intelligence Index score (quality gate).
        use_case: Task profile: support | volume | extraction | summarization | coding | research.
        prefer_callable: Demote models without a verified call recipe below callable ones.
        limit: Max recommendations (1-20, default 5).
    Returns: ranked recommendations with endpoint_config and ranking evidence.
    
- `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.