Data source: In-memory curated collection
Overview
Random Words wraps In-memory curated collection, handling authentication, pagination, and rate limits for you. This tutorial covers all 5 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.):
{
"mcpServers": {
"gnist-random-words": {
"url": "https://context.gnist.ai/mcp/random-words/",
"headers": {
"Gnist-API-Key": "YOUR_API_KEY"
}
}
}
}
Tools (5)
get_random_word
Get a random English word. Returns a word with its type and length. Optionally filter by word type and length range.
| Parameter | Type | Required | Description |
|---|---|---|---|
word_type | any | optional | Filter by word type (noun, verb, adjective, adverb). Omit for any type. |
min_length | any | optional | Minimum word length (inclusive). |
max_length | any | optional | Maximum word length (inclusive). |
curl -X POST "https://context.gnist.ai/mcp/random-words/" \
-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_word", "arguments": {"word_type": "example"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/random-words/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {'word_type': 'example'}, 'name': 'get_random_word'}},
)
print(resp.json())
get_random_words
Get multiple random English words at once. Returns a list of words, optionally filtered by type. Words are sampled without repeats.
| Parameter | Type | Required | Description |
|---|---|---|---|
count | any | optional | Number of random words to return (default: 5, max: 50). |
word_type | any | optional | Filter by word type (noun, verb, adjective, adverb). Omit for any type. |
curl -X POST "https://context.gnist.ai/mcp/random-words/" \
-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_words", "arguments": {"count": "example"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/random-words/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {'count': 'example'}, 'name': 'get_random_words'}},
)
print(resp.json())
search_words
Search for words by substring. Searches across word text and word types. Case-insensitive.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | required | Search substring — matches word text or word type. |
max_results | any | optional | Maximum number of results (default: 20, max: 100). |
curl -X POST "https://context.gnist.ai/mcp/random-words/" \
-H "Content-Type: application/json" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "search_words", "arguments": {"query": "renewable energy"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/random-words/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {'query': 'renewable energy'}, 'name': 'search_words'}},
)
print(resp.json())
list_word_types
List all available word types. Returns the type names that can be used to filter random words (noun, verb, adjective, adverb).
curl -X POST "https://context.gnist.ai/mcp/random-words/" \
-H "Content-Type: application/json" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "list_word_types", "arguments": {}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/random-words/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {}, 'name': 'list_word_types'}},
)
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/random-words/" \
-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/random-words/",
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
Use
search_words to find items, then get_random_word to get full details. This two-step pattern is common for exploring data before drilling down.Several tools support
limit, offset, or page parameters. Start with small limits during development, then increase for production queries.FAQ
What data does Random Words provide?
Random English word generator — 120 curated words across 4 types (noun, verb, adjective, adverb) with length filtering. It exposes 5 tools: get_random_word, get_random_words, search_words, list_word_types, 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 Random Words API return?
JSON, via either MCP protocol (JSON-RPC 2.0) or REST API.