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8 clients · secrets stay placeholders

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

claude mcp add --transport http inferenceindexer-mcp https://api.inferenceindexer.ai/mcp

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

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

{
  "mcpServers": {
    "inferenceindexer-mcp": {
      "type": "http",
      "url": "https://api.inferenceindexer.ai/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=inferenceindexer-mcp&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYXBpLmluZmVyZW5jZWluZGV4ZXIuYWkvbWNwIn0%3D"
}

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

{
  "mcpServers": {
    "inferenceindexer-mcp": {
      "httpUrl": "https://api.inferenceindexer.ai/mcp"
    }
  }
}

extensions:
  "inferenceindexer-mcp":
    enabled: true
    name: "inferenceindexer-mcp"
    type: streamable_http
    uri: "https://api.inferenceindexer.ai/mcp"
    timeout: 300

Quality 83 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene71 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_provider (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_model_history (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_models (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 1,474 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependencies100 · weight 15

pass
deps.known_vulnsno known advisory in 30 resolved packages
pass
deps.mcp_sdk_versionmcp 1.30.0, no known advisory
pass
deps.resolvable[email protected] resolved: 30 packages

10 tools, about 1,474 tokens to load them all · tool set 4f0e7b3a7d99 · checked 2026-10-19 17:25 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 91 / 100

provenance80

liveness99

freshness85

hygiene100

+repository +namespace-matches-repo +reachable +uptime-96% ~updated-48d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Dependencies

[email protected] PyPI29 dependencies, resolved · MCP SDK mcp 1.30.0 · advisories checked 2026-10-19

No known advisory affects this dependency graph.

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://api.inferenceindexer.ai/mcp` streamable-http	none	yes	96%	399 ms	2025-11-25	2026-10-19

package	registry	version	runtime	secrets
`inferenceindexer-mcp`	pypi	0.1.1	–	`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). 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 \| 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.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.DesMartin01/inferenceindexer-mcp",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://api.inferenceindexer.ai/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "0.1.1",
  "packages": [
    {
      "version": "0.1.1",
      "transport": {
        "type": "stdio"
      },
      "identifier": "inferenceindexer-mcp",
      "registryType": "pypi",
      "environmentVariables": [
        {
          "name": "II_API_BASE",
          "format": "string",
          "description": "Base URL of the InferenceIndexer API (defaults to the public API; no key required for the free tier)"
        },
        {
          "name": "II_API_KEY",
          "format": "string",
          "isSecret": true,
          "description": "Optional InferenceIndexer API key (raises rate limits; free keys at https://www.inferenceindexer.ai/for-agents)"
        }
      ]
    }
  ],
  "repository": {
    "url": "https://github.com/DesMartin01/inferenceindexer-mcp",
    "source": "github"
  },
  "description": "AI inference pricing for agents: live and historical model prices, provider comparison."
}