io.github.DesMartin01/inferenceindexer-mcp
REMOTE · API.INFERENCEINDEXER.AI · 2 COMPONENTS · SCANNED SEP 20
AI inference pricing for agents: live and historical model prices, provider comparison.
Available components
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. How we score → Why this is hard to score →
Endpoint Security11
- TLS not yet verified: we couldn't open a connection to check the certificate. View diagnostics → Unverified
- Authorisation not yet verified: we couldn't confirm whether this endpoint requires it. View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS not yet verified: we couldn't read the response headers to check for it. View diagnostics → Unverified
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability0
- Transport check failed: declared streamable-http, but we couldn't connect to verify it. See how to fix → View diagnostics → Fail
Schema Quality & AI Usability0
- Schema not yet verified: we couldn't read the endpoint's schema.Unverified
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage0
- Tool coverage not yet verified: we couldn't read the endpoint's tools.Unverified
Tool Safety0
- Tool safety not yet verified: we couldn't read the endpoint's tools.Unverified
Capabilities0
- Capabilities not yet verified: we couldn't read the endpoint's capabilities.Unverified
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.
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.
remote · api.inferenceindexer.ai
claude mcp add --transport http desmartin01-inferenceindexer-mcp 'https://api.inferenceindexer.ai/mcp'
{
"mcpServers": {
"desmartin01-inferenceindexer-mcp": {
"url": "https://api.inferenceindexer.ai/mcp"
}
}
} {
"servers": {
"desmartin01-inferenceindexer-mcp": {
"type": "http",
"url": "https://api.inferenceindexer.ai/mcp"
}
}
} [mcp_servers.desmartin01-inferenceindexer-mcp] url = "https://api.inferenceindexer.ai/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"desmartin01-inferenceindexer-mcp": {
"type": "remote",
"url": "https://api.inferenceindexer.ai/mcp",
"enabled": true
}
}
} openclaw mcp add desmartin01-inferenceindexer-mcp --url 'https://api.inferenceindexer.ai/mcp' --transport streamable-http
mcp_servers:
desmartin01-inferenceindexer-mcp:
url: "https://api.inferenceindexer.ai/mcp" {
"McpServers": {
"desmartin01-inferenceindexer-mcp": {
"Transport": "http",
"Url": "https://api.inferenceindexer.ai/mcp"
}
}
} assistant mcp add desmartin01-inferenceindexer-mcp -t streamable-http -u 'https://api.inferenceindexer.ai/mcp'
{
"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.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 19 Sept 26 0
- Endpoint reachability: reachable → unreachable ▼ security
- Stability: 0.57 → unverified ▼ security
- HSTS header: fail → unverified ▼ security
- Tool safety: pass → unverified ▼ security
- TLS certificate: pass → unverified ▼ security
- Transport: pass → fail ▼ security
- Authorization: Authorisation not yet verified: we couldn't confirm whether this endpoint requires it. security
- Capabilities: pass → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- First check of Schema quality: unverified functional
- 17 Sept 26 +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.
- 15 Sept 26 +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.
- 12 Sept 26 +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.
- 10 Sept 26 +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.
- 8 Sept 26 +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.
- 6 Sept 26 +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.
- 4 Sept 26 +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.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Probed https://api.inferenceindexer.ai/mcp
TLS unreached
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of api.inferenceindexer.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 3799 | 8 | Verified |
| inferenceindexer.ai. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication Inconclusive
We could not reach the endpoint well enough to judge its authorisation posture.
| Result | Inconclusive |
|---|
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://api.inferenceindexer.ai/mcp | Unreachable | ||
| http (plaintext) | http://api.inferenceindexer.ai/mcp | HTTPS enforced |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
compare_providers ~86
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).
| Name | Type | Req | Description |
|---|---|---|---|
| model_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
explain_model ~172
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.
| Name | Type | Req | Description |
|---|---|---|---|
| history_days | integer | – | – |
| model_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_composite_history ~56
Get SIT-Composite index history / trend over time. Args: days: History window in days (1-90, default 30). Returns: historical composite index values.
| Name | Type | Req | Description |
|---|---|---|---|
| days | integer | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_composite_latest ~55
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.
Input schema present but exposes no named parameters.
Structured output declared, but exposes no named fields.
No examples provided.
get_model ~86
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).
| Name | Type | Req | Description |
|---|---|---|---|
| model_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_model_history ~134
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.
| Name | Type | Req | Description |
|---|---|---|---|
| days | integer | – | – |
| model_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_provider ~67
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.
| Name | Type | Req | Description |
|---|---|---|---|
| provider_name | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
list_providers ~20
List all inference providers with model counts and price stats.
Input schema present but exposes no named parameters.
Structured output declared, but exposes no named fields.
No examples provided.
recommend_models ~262
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.
| Name | Type | Req | Description |
|---|---|---|---|
| budget_max_usd_per_m | – | – | – |
| context_min | – | – | – |
| eu_sovereign | boolean | – | – |
| limit | integer | – | – |
| modality | string | – | – |
| reasoning | – | – | – |
| zdr | boolean | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
search_models ~136
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.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| query | – | – | – |
| sort | – | – | – |
| tier | – | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
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.