search_developments
Pack: ai-briefing · Endpoint: https://gateway.pipeworx.io/ai-briefing/mcp
Search for new tools, APIs, MCP servers, and frameworks by keyword (e.g., ‘vector databases’, ‘Claude integrations’). Returns matching developments with descriptions and sources.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
query | string | yes | Search query |
limit | number | no | Max results (default 10) |
Example call
Arguments
{
"query": "vector databases"
}
curl
curl -X POST https://gateway.pipeworx.io/ai-briefing/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search_developments","arguments":{"query":"vector databases"}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('search_developments', {
"query": "vector databases"
});
More examples
{
"query": "Claude integrations",
"limit": 5
}
Response shape
Always returns: query, total, results
| Field | Type | Description |
|---|---|---|
query | string | Search query executed |
total | number | Number of results found |
results | array | Matching developments |
Full JSON Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query executed"
},
"total": {
"type": "number",
"description": "Number of results found"
},
"results": {
"type": "array",
"description": "Matching developments",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "Development title"
},
"summary": {
"type": "string",
"description": "Development summary"
},
"url": {
"type": "string",
"description": "Source URL"
},
"source": {
"type": "string",
"description": "Source identifier"
},
"category": {
"type": "string",
"description": "Development category"
},
"importance": {
"type": "string",
"description": "Importance level"
},
"published_at": {
"type": "string",
"description": "Publication timestamp"
}
}
}
}
},
"required": [
"query",
"total",
"results"
]
}
Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"ai-briefing": {
"url": "https://gateway.pipeworx.io/ai-briefing/mcp"
}
}
}
See Getting Started for client-specific install steps.