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

NameTypeRequiredDescription
querystringyesSearch query
limitnumbernoMax 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

FieldTypeDescription
querystringSearch query executed
totalnumberNumber of results found
resultsarrayMatching 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.

Regenerated from source · build May 9, 2026