Tutorial: Emoji Database

Utilities

Data source: Unicode Consortium (CLDR)

Overview

Emoji Database wraps Unicode Consortium (CLDR), handling authentication, pagination, and rate limits for you. This tutorial covers all 6 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-emoji-database": {
      "url": "https://context.gnist.ai/mcp/emoji-database/",
      "headers": {
        "Gnist-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Tools (6)

`get_emoji`

Get detailed information about an emoji. Returns the emoji character, name, category, subcategory, codepoint, shortcodes, keywords, and Unicode version.

Parameter	Type	Required	Description
`emoji_id`	string	required	Emoji ID slug (e.g. grinning-face, red-heart, thumbs-up).

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

import httpx

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

`search_emojis`

Search the emoji database.

Parameter	Type	Required	Description
`query`	string	required	Search by name, keyword, or shortcode.
`limit`	integer	optional	(default: `20`)

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

import httpx

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

`list_emojis_by_category`

List emojis by category.

Parameter	Type	Required	Description
`category`	string	required	Emoji category (e.g. Smileys & Emotion, People & Body, Flags).
`limit`	integer	optional	(default: `50`)

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

import httpx

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

`get_emoji_categories`

List all emoji categories in the database.

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

import httpx

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

`get_random_emoji`

Get a random emoji from the database.

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

import httpx

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

Common Patterns

Search then retrieve
Use search_emojis to find items, then get_emoji to get full details. This two-step pattern is common for exploring data before drilling down.

Pagination
Several tools support limit, offset, or page parameters. Start with small limits during development, then increase for production queries.

FAQ

What data does Emoji Database provide?

Emoji lookup — search by name, keyword, or shortcode, browse by category. It exposes 6 tools: get_emoji, search_emojis, list_emojis_by_category, get_emoji_categories, get_random_emoji, 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 Emoji Database API return?

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