Serveur MCP MIAPI

MIAPI — Grounded AI Answers API

Official Python client for MIAPI — get AI-powered answers grounded in real-time web search.

Install

pip install miapi-sdk

Quick Start

from miapi import MIAPI

client = MIAPI("YOUR_API_KEY")

# Get a grounded answer with citations
result = client.answer("What is quantum computing?", citations=True)
print(result.answer)     # AI-generated answer with [1][2] markers
print(result.sources)    # List of source URLs
print(result.confidence) # 0.0 - 1.0

Features

Web-Grounded Answers

result = client.answer("Who won the last World Cup?")
print(result.answer)

Knowledge Mode — Answer From Your Data

result = client.answer(
    "What is the return policy?",
    mode="knowledge",
    knowledge="Returns accepted within 30 days with receipt..."
)
print(result.answer)

Search Only — Raw Results

sources = client.search("latest AI research papers")
for source in sources:
    print(source.title, source.url)

News Search

news = client.news("technology", num_results=5)
for article in news:
    print(article.title, article.date)

Image Search

images = client.images("golden retriever")
for img in images:
    print(img.url, img.width, img.height)

Streaming

for event in client.stream("Explain quantum computing"):
    if event['type'] == 'answer':
        print(event['content'], end='', flush=True)
    elif event['type'] == 'done':
        print(f"\nDone in {event.get('query_time_ms')}ms")

Check Usage

info = client.usage()
print(f"Used {info.queries_this_month}/{info.monthly_limit} this month")
print(f"Tier: {info.tier}")

Custom Options

result = client.answer(
    "Compare Python and Rust",
    response_format="markdown",   # text, short, json, markdown
    temperature=0.5,              # 0.0 (precise) to 1.0 (creative)
    max_tokens=800,               # Max answer length
    language="French",            # Answer in any language
    search_domains=["wikipedia.org"],  # Restrict sources
    system_prompt="Answer like a professor",
)

Error Handling

from miapi import MIAPI, MIAPIError, RateLimitError, AuthenticationError

client = MIAPI("YOUR_API_KEY")

try:
    result = client.answer("Hello")
except AuthenticationError:
    print("Bad API key")
except RateLimitError as e:
    print(f"Rate limited: {e.message}")
except MIAPIError as e:
    print(f"Error: {e.message} (HTTP {e.status_code})")

OpenAI Drop-in Replacement

MIAPI is also compatible with the OpenAI Python client:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_MIAPI_KEY",
    base_url="https://api.miapi.uk/v1"
)

response = client.chat.completions.create(
    model="miapi-grounded",
    messages=[{"role": "user", "content": "What is AI?"}]
)
print(response.choices[0].message.content)

Get Your API Key

Sign up free at miapi.uk — 500 queries/month included.

Links

• Website
• API Docs
• Playground
• Pricing

Use from Claude Desktop, Cursor or Windsurf (MCP)

MIAPI ships an MCP server, so an AI assistant can search the web and get answers with real citations without you writing any code.

pip install "miapi-sdk[mcp]"

Then add it to your assistant's MCP config:

{
  "mcpServers": {
    "miapi": {
      "command": "miapi-mcp",
      "env": { "MIAPI_API_KEY": "your_key_here" }
    }
  }
}

Tools it provides: web_answer, web_search, news_search, image_search, check_usage.

Get a key at https://miapi.uk — free tier included.