# io.github.DesMartin01/inferenceindexer-mcp (remote · api.inferenceindexer.ai)

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

- Trust score: 70/100 (medium)
- Change this week: +2
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-20

## Components

- remote · `api.inferenceindexer.ai`: 70/100 (this document), [markdown](https://verifymcp.io/servers/desmartin01-inferenceindexer-mcp/api.md), [page](https://verifymcp.io/servers/desmartin01-inferenceindexer-mcp/api)
- pypi · `inferenceindexer-mcp`: 76/100, [markdown](https://verifymcp.io/servers/desmartin01-inferenceindexer-mcp/inferenceindexer-mcp.md), [page](https://verifymcp.io/servers/desmartin01-inferenceindexer-mcp/inferenceindexer-mcp)

## Channel facts

- Endpoint: `https://api.inferenceindexer.ai/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.1.1`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-20.

- **Endpoint Security**: 11/100
  - TLS not yet verified: we couldn't open a connection to check the certificate.
  - Authorisation not yet verified: we couldn't confirm whether this endpoint requires it.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS not yet verified: we couldn't read the response headers to check for it.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 0/100
  - Transport check failed: declared streamable-http, but we couldn't connect to verify it.
- **Schema Quality & AI Usability**: 0/100
  - Schema not yet verified: we couldn't read the endpoint's schema.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 0/100
  - Tool coverage not yet verified: we couldn't read the endpoint's tools.
- **Tool Safety**: 0/100
  - Tool safety not yet verified: we couldn't read the endpoint's tools.
- **Capabilities**: 0/100
  - Capabilities not yet verified: we couldn't read the endpoint's capabilities.

**Unverified: 5 categories.** Categories scored 0 because we could not verify them: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.

## Install

### How do I install the io.github.DesMartin01/inferenceindexer-mcp server?

io.github.DesMartin01/inferenceindexer-mcp is a hosted endpoint at https://api.inferenceindexer.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http desmartin01-inferenceindexer-mcp 'https://api.inferenceindexer.ai/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "desmartin01-inferenceindexer-mcp": {
      "url": "https://api.inferenceindexer.ai/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "desmartin01-inferenceindexer-mcp": {
      "type": "http",
      "url": "https://api.inferenceindexer.ai/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.desmartin01-inferenceindexer-mcp]
url = "https://api.inferenceindexer.ai/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "desmartin01-inferenceindexer-mcp": {
      "type": "remote",
      "url": "https://api.inferenceindexer.ai/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add desmartin01-inferenceindexer-mcp --url 'https://api.inferenceindexer.ai/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  desmartin01-inferenceindexer-mcp:
    url: "https://api.inferenceindexer.ai/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "desmartin01-inferenceindexer-mcp": {
      "Transport": "http",
      "Url": "https://api.inferenceindexer.ai/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add desmartin01-inferenceindexer-mcp -t streamable-http -u 'https://api.inferenceindexer.ai/mcp'
```

### Other

```json
{
  "mcpServers": {
    "desmartin01-inferenceindexer-mcp": {
      "type": "http",
      "url": "https://api.inferenceindexer.ai/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-19 (score 70, 0)

- [security regression] Endpoint reachability: reachable → unreachable
- [security regression] Stability: 0.57 → unverified
- [security regression] HSTS header: fail → unverified
- [security regression] Tool safety: pass → unverified
- [security regression] TLS certificate: pass → unverified
- [security regression] Transport: pass → fail
- [security] Authorization: Authorisation not yet verified: we couldn't confirm whether this endpoint requires it.
- [functional regression] Capabilities: pass → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional] First check of Schema quality: unverified

### 2026-09-17 (score 70, +1)

No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-15 (score 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-12 (score 68, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-10 (score 67, +1)

No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-08 (score 66, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-06 (score 65, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-04 (score 64, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (10)

### `recommend_models` (~262 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 (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.

Input parameters:

- `budget_max_usd_per_m`
- `context_min`
- `eu_sovereign` (boolean)
- `limit` (integer)
- `modality` (string)
- `reasoning`
- `zdr` (boolean)

### `explain_model` (~172 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),
    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.

Input parameters:

- `history_days` (integer)
- `model_id` (string, required)

### `search_models` (~136 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 | 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.

Input parameters:

- `limit` (integer)
- `query`
- `sort`
- `tier`

### `get_model` (~86 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).

Input parameters:

- `model_id` (string, required)

### `get_model_history` (~134 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.g. 'openai/gpt-5.6'.
        days: History window in days (1-365, default 30; plan-dependent).
    Returns: historical price series for the model.

Input parameters:

- `days` (integer)
- `model_id` (string, required)

### `list_providers` (~20 tokens)

List all inference providers with model counts and price stats.

### `get_provider` (~67 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.

Input parameters:

- `provider_name` (string, required)

### `get_composite_latest` (~55 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_composite_history` (~56 tokens)

Get SIT-Composite index history / trend over time.

    Args:
        days: History window in days (1-90, default 30).
    Returns: historical composite index values.

Input parameters:

- `days` (integer)

### `compare_providers` (~86 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).

Input parameters:

- `model_id` (string, required)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/desmartin01-inferenceindexer-mcp/api#diagnostics

## Score history

- 2026-09-20: 70
- 2026-09-19: 70
- 2026-09-18: 70
- 2026-09-17: 70
- 2026-09-16: 69
- 2026-09-15: 69
- 2026-09-14: 68
- 2026-09-13: 68
- 2026-09-12: 68
- 2026-09-11: 67
- 2026-09-10: 67
- 2026-09-09: 66
- 2026-09-08: 66
- 2026-09-07: 65
- 2026-09-06: 65
- 2026-09-05: 64
- 2026-09-04: 64
- 2026-09-03: 63
- 2026-09-02: 63
- 2026-09-01: 62

## Common questions

### What is the io.github.DesMartin01/inferenceindexer-mcp server?

io.github.DesMartin01/inferenceindexer-mcp is listed in the public MCP registry as io.github.DesMartin01/inferenceindexer-mcp. AI inference pricing for agents: live and historical model prices, provider comparison. This page covers its hosted endpoint (https://api.inferenceindexer.ai/mcp).

### Is the io.github.DesMartin01/inferenceindexer-mcp server safe to use?

io.github.DesMartin01/inferenceindexer-mcp scores 70 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the io.github.DesMartin01/inferenceindexer-mcp server expose?

io.github.DesMartin01/inferenceindexer-mcp exposes 10 tools: recommend_models, explain_model, search_models, get_model, get_model_history, and 5 more. Their descriptions and schemas cost roughly 1,074 tokens of context every time the server is loaded.

### Does the io.github.DesMartin01/inferenceindexer-mcp server require authentication?

Its publisher declares no required credentials for io.github.DesMartin01/inferenceindexer-mcp. We have not been able to confirm that against the live endpoint, and a server can require authorisation without declaring it here.

### Is the io.github.DesMartin01/inferenceindexer-mcp server still maintained?

io.github.DesMartin01/inferenceindexer-mcp is still listed in the MCP registry, though our most recent checks did not reach this channel. We last reached this channel on 18 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://api.inferenceindexer.ai/mcp
- Repository: https://github.com/DesMartin01/inferenceindexer-mcp
- Changelog RSS feed: https://verifymcp.io/servers/desmartin01-inferenceindexer-mcp/api.xml
- Changelog JSON feed: https://verifymcp.io/servers/desmartin01-inferenceindexer-mcp/api.json
- HTML version of this page: https://verifymcp.io/servers/desmartin01-inferenceindexer-mcp/api