Tutorial: Language Detection

Utilities

Data source: langdetect (open source, port of Google's language-detection)

Overview

Language Detection wraps langdetect (open source, port of Google's language-detection), handling authentication, pagination, and rate limits for you. This tutorial covers all 3 tools with working code examples you can copy and run.

Prerequisites

Sign up at https://context.gnist.ai/signup for a free API key (100 calls/day).
Choose your integration method: MCP protocol or REST API.

Connect via MCP

Add to your MCP client config (Claude Desktop, Cursor, etc.):

MCP Config

{
  "mcpServers": {
    "gnist-language-detection": {
      "url": "https://context.gnist.ai/mcp/language-detection/",
      "headers": {
        "Gnist-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Tools (3)

`detect_language`

Detect the language of a text passage with confidence scores. Returns the most likely language, its confidence score, and all candidate languages ranked by probability. Args: text: The text to analyze. Works best with at least 20 characters.

Parameter	Type	Required	Description
`text`	string	required

curl -X POST "https://context.gnist.ai/mcp/language-detection/" \
  -H "Content-Type: application/json" \
  -H "Gnist-API-Key: YOUR_API_KEY" \
  -d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "detect_language", "arguments": {"text": "example"}}}'

import httpx

resp = httpx.post(
    "https://context.gnist.ai/mcp/language-detection/",
    headers={"Gnist-API-Key": "YOUR_API_KEY"},
    json={'id': 1,
 'jsonrpc': '2.0',
 'method': 'tools/call',
 'params': {'arguments': {'text': 'example'}, 'name': 'detect_language'}},
)
print(resp.json())

`get_supported_languages`

List all languages that can be detected. Returns language codes and their human-readable names.

curl -X POST "https://context.gnist.ai/mcp/language-detection/" \
  -H "Content-Type: application/json" \
  -H "Gnist-API-Key: YOUR_API_KEY" \
  -d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "get_supported_languages", "arguments": {}}}'

import httpx

resp = httpx.post(
    "https://context.gnist.ai/mcp/language-detection/",
    headers={"Gnist-API-Key": "YOUR_API_KEY"},
    json={'id': 1,
 'jsonrpc': '2.0',
 'method': 'tools/call',
 'params': {'arguments': {}, 'name': 'get_supported_languages'}},
)
print(resp.json())

`report_feedback`

Report a bug, feature request, or general feedback for this data source. Use this when something doesn't work as expected, when you'd like a new feature, or when you have suggestions for improvement. Args: feedback: Describe the issue or suggestion. feedback_type: One of 'bug', 'feature_request', or 'general'.

Parameter	Type	Required	Description
`feedback`	string	required
`feedback_type`	string	optional	(default: `general`)

curl -X POST "https://context.gnist.ai/mcp/language-detection/" \
  -H "Content-Type: application/json" \
  -H "Gnist-API-Key: YOUR_API_KEY" \
  -d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "report_feedback", "arguments": {"feedback": "example"}}}'

import httpx

resp = httpx.post(
    "https://context.gnist.ai/mcp/language-detection/",
    headers={"Gnist-API-Key": "YOUR_API_KEY"},
    json={'id': 1,
 'jsonrpc': '2.0',
 'method': 'tools/call',
 'params': {'arguments': {'feedback': 'example'}, 'name': 'report_feedback'}},
)
print(resp.json())

FAQ

What data does Language Detection provide?

Detect the language of text with confidence scores — supports 55 languages including CJK. It exposes 3 tools: detect_language, get_supported_languages, report_feedback.

What do I need to get started?

A Gnist API key (free tier: 100 calls/day). Sign up at https://context.gnist.ai/signup.

What format does the Language Detection API return?

JSON, via either MCP protocol (JSON-RPC 2.0) or REST API.