apexapi-mcp
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| APEXAPI_API_KEY | Yes | Your ApexApi API key (starts with 'ak-') |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| chatA | Send a prompt to any of the 120+ models on ApexApi (OpenAI, Anthropic, Google, DeepSeek, Qwen, Mistral…). Use list_models to discover model slugs. Billed per token from the credit balance. |
| list_modelsA | Live catalog of all ApexApi models with type, context window, and USD pricing (per 1M tokens for chat). Filter by type to keep the list short. |
| get_balanceA | Current prepaid credit balance in USD. Balance is the only usage limit on ApexApi. |
| scrape_pageA | Fetch any URL as clean, LLM-ready markdown (or html/text). Anti-bot handling is automatic. Billed per successful page ($0.002 standard, $0.008 stealth); failures are free. |
| crawl_siteA | Crawl same-domain pages from a seed URL into markdown. Waits up to 60s; if still running, returns a job id for check_job. Billed $0.005 per page, capped by limit. Full page set is at result_url. |
| extract_structuredA | Ready-made structured JSON from Amazon, Walmart, Crunchbase, G2, Google Maps, or Zillow product/company/listing URLs. Billed $0.01 per record; failures free. Scrapers: amazon-product, walmart-product, crunchbase-company, g2-product, google-maps-business, zillow-property. |
| check_jobB | Poll a crawl_site or extract_structured job by id. |
| generate_imageA | Generate an image from a text prompt. Returns a URL. Use list_models with type=image for available models and prices. |
| generate_speechA | Text-to-speech via ElevenLabs. Returns an MP3 URL. Billed per 1,000 characters. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 9 tools
Each tool targets a distinct operation: balance, chat, model catalog, single-page scraping, site crawling, structured extraction, job polling, image generation, and speech generation. Even the web-scraping trio (scrape_page, crawl_site, extract_structured) is clearly differentiated by scope and output format.
Most tools follow a clear verb_noun snake_case pattern (list_models, scrape_page, generate_image, etc.). The exception is 'chat,' which is just a verb and breaks the pattern slightly, though it is still readable.
With 9 tools, the server covers a broad but well-defined API surface. Each tool serves a distinct function without redundancy, and the count is appropriate for an API aggregator.
The core workflows are covered: balance checking, model discovery, chat, web scraping (single and multi-page), structured data extraction, job polling, image and speech generation. Missing are minor conveniences like canceling or listing jobs, but agents can work around these.