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io.github.ailingqu/apiany-mcp

NPM · @APIANY-AI/MCP · SCANNED AUG 3

APIAny MCP server for model discovery, pricing, docs, and integration examples.

Available components

+19 this week 62 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security86
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability49
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 699 tokens (~69/item across 10 items; 10 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage79
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 38% of tool parameters carry a description.Partial
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · @apiany-ai/mcp

# add to Claude Code
claude mcp add ailingqu-apiany-mcp -- npx -y @apiany-ai/mcp
# add to Codex CLI
codex mcp add ailingqu-apiany-mcp -- npx -y @apiany-ai/mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ailingqu-apiany-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@apiany-ai/mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ailingqu-apiany-mcp --command npx --arg -y --arg @apiany-ai/mcp
# ~/.hermes/config.yaml
mcp_servers:
  ailingqu-apiany-mcp:
    command: "npx"
    args: ["-y", "@apiany-ai/mcp"]
// mcp.json
{
  "mcpServers": {
    "ailingqu-apiany-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@apiany-ai/mcp"
      ]
    }
  }
}
Changelog

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.

  • 3 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 2 Aug 26 +33
    • Provenance: unverified → fail security
    • Install scripts: unverified → pass security
    • Known CVEs: unverified → partial security
    • Malware scan: unverified → pass security
    • License: unverified → pass functional
    • Stability: unverified → 0.23 functional
    • Dependency health: unverified → partial functional
    • Maintenance: unverified → pass functional
    • Licence: MIT functional
  • 1 Aug 26 +9
    • Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
    • MCP protocol: unverified → pass functional
    • Schema quality: unverified → fair functional
  • 31 Jul 26 −24
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Jul 26 43

    First indexed and scored.

Diagnostics

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 3 Aug 2026 · Analysed npm/@apiany-ai/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 94 packages

94 packages in the resolved dependency tree · 94 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 10 exposed · ~699 tokens

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.

Tool Tokens
create_image_task ~158

Create a paid APIAny asynchronous image generation task. Requires APIANY_API_KEY and confirm_paid_request=true.

NameTypeReqDescription
callback_urlstringOptional public HTTPS callback URL.
confirm_paid_requestboolean
extra_jsonobjectOptional extra request fields to merge into the JSON body.
image_urlsarrayOptional reference/input images for image-to-image or editing.
modelstringyes
promptstringyes
qualitystringResolution/quality tier such as 1k, 2k, 4k, standard, or hd.
sizestringAspect ratio such as 1:1 or 16:9, or a pixel size when supported.

No output schema declared.

No examples provided.

create_video_task ~183

Create a paid APIAny asynchronous video generation task. Requires APIANY_API_KEY and confirm_paid_request=true.

NameTypeReqDescription
aspect_ratiostringVideo aspect ratio such as 16:9 or 9:16.
audio_urlsarrayOptional reference audio for models that support audio input.
callback_urlstringOptional public HTTPS callback URL.
confirm_paid_requestboolean
durationinteger
extra_jsonobjectOptional extra request fields to merge into the JSON body.
image_urlsarrayOptional reference images for image-to-video models.
modelstringyes
promptstringyes
resolutionstringOptional video resolution such as 720p or 1080p.
video_urlsarrayOptional reference videos for models that support video input.

No output schema declared.

No examples provided.

estimate_cost ~59

Estimate APIAny credits for a model using public pricing metadata.

NameTypeReqDescription
cached_input_tokensinteger
input_tokensinteger
modelstringyes
output_tokensinteger
requestsinteger

No output schema declared.

No examples provided.

get_docs_context ~28

Return compact APIAny documentation context from llms.txt.

NameTypeReqDescription
max_charsinteger

No output schema declared.

No examples provided.

get_integration_examples ~35

Return APIAny integration examples for a model and language.

NameTypeReqDescription
languagestring
modelstring

No output schema declared.

No examples provided.

get_model ~28

Get one APIAny model by public model id or display name.

NameTypeReqDescription
modelstringyes

No output schema declared.

No examples provided.

get_model_usage ~70

Return endpoint, payload, async behavior, and language example for one or more APIAny models.

NameTypeReqDescription
languagestring
limitinteger
modelstringOptional model id or display name. Omit to list usage for models.
typestring

No output schema declared.

No examples provided.

get_task_status ~32

Get an APIAny async generation task status. Requires APIANY_API_KEY.

NameTypeReqDescription
task_idstringyes

No output schema declared.

No examples provided.

list_models ~61

List public APIAny models with pricing and capability metadata.

NameTypeReqDescription
limitinteger
providerstringOptional provider name, such as OpenAI or Google.
qstringOptional model search text.
typestring

No output schema declared.

No examples provided.

search_models ~45

Search APIAny models by natural-language text, provider, modality, or capability.

NameTypeReqDescription
limitinteger
querystringyes
typestring

No output schema declared.

No examples provided.