io.github.DesMartin01/inferenceindexer-mcp
REMOTE · API.INFERENCEINDEXER.AI · 2 COMPONENTS · SCANNED OCT 14
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 Security57
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 10 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability77
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1111 tokens (~111/item across 10 items; 10 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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.
- 1 Oct 26 0
- Stability: 0.97 → pass security
- 30 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 28 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 25 Sept 26 +1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 23 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.
- 21 Sept 26 +2
- HSTS header: unverified → fail ▼ security
- TLS certificate: unverified → pass ▲ security
- Injection markers: unverified → pass ▲ security
- Transport: fail → pass ▲ security
- Authorization: Authorisation not fully verified: no authorisation is required to call this server, and 10 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. security
- Endpoint reachability: unreachable → reachable ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Stability: unverified → 0.67 ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- 19 Sept 26 0
- Endpoint reachability: reachable → unreachable ▼ security
- Stability: 0.57 → unverified ▼ security
- TLS certificate: pass → unverified ▼ security
- Tool safety: pass → unverified ▼ security
- HSTS header: fail → unverified ▼ security
- Transport: pass → fail ▼ security
- Authorization: Authorisation not yet verified: we couldn't confirm whether this endpoint requires it. security
- Tool coverage: 100 → unverified ▼ functional
- Capabilities: pass → unverified ▼ functional
- First check of Schema quality: unverified functional
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 14 Oct 2026 · Probed https://api.inferenceindexer.ai/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=api.inferenceindexer.ai | CN=YE2,O=Let's Encrypt,C=US | 9 Oct 2026 | 7 Jan 2027 | ECDSA 256 | ECDSA-SHA384 | 63659fb3bb9172d45e058aa7983da73de19 |
| SANs: api.inferenceindexer.ai | ||||||
| CN=YE2,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 4df3b15dd6c0784c507cd37b58e6f115 |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
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 No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
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 | Verified | 200 | |
| http (plaintext) | http://api.inferenceindexer.ai/mcp | HTTPS enforced | 301 | https://api.inferenceindexer.ai/mcp |
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 76 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?
No. We connected to io.github.DesMartin01/inferenceindexer-mcp without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the io.github.DesMartin01/inferenceindexer-mcp server still maintained?
io.github.DesMartin01/inferenceindexer-mcp is still listed as active in the MCP registry. We last reached this channel on 14 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.