search_blocks_semantic
Find blockchain blocks using AI-powered semantic search that understands natural language queries about Ethereum data.
Instructions
Semantic search for blocks using AI-powered vector similarity matching
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | The query to search for | |
| limit | No | The number of results to return (default: 10) |
Implementation Reference
- index.js:721-722 (handler)Handler implementation for the 'search_blocks_semantic' tool. It proxies the tool call to the ChainFETCH API endpoint '/api/v1/ethereum/blocks/semantic_search' using a GET request with the provided arguments.
case 'search_blocks_semantic': return await this.makeRequest('/api/v1/ethereum/blocks/semantic_search', 'GET', args, null, token); - index.js:272-286 (schema)Input schema definition for the 'search_blocks_semantic' tool, specifying required 'query' parameter and optional 'limit'.
inputSchema: { type: 'object', properties: { query: { type: 'string', description: 'The query to search for', }, limit: { type: 'integer', description: 'The number of results to return (default: 10)', default: 10, }, }, required: ['query'], }, - index.js:270-287 (registration)Registration of the 'search_blocks_semantic' tool in the MCP tools array passed to server.setTools().
name: 'search_blocks_semantic', description: 'Semantic search for blocks using AI-powered vector similarity matching', inputSchema: { type: 'object', properties: { query: { type: 'string', description: 'The query to search for', }, limit: { type: 'integer', description: 'The number of results to return (default: 10)', default: 10, }, }, required: ['query'], }, }, - index.js:634-682 (helper)Helper function 'makeRequest' used by the handler to perform authenticated HTTP requests to the ChainFETCH API.
async makeRequest(endpoint, method = 'GET', params = {}, body = null, token = null) { const chainfetchToken = token || process.env.CHAINFETCH_API_TOKEN; if (!chainfetchToken) { throw new McpError( ErrorCode.InvalidRequest, 'CHAINFETCH_API_TOKEN is required' ); } const url = new URL(`${API_BASE_URL}${endpoint}`); // Add query parameters for GET requests if (method === 'GET' && Object.keys(params).length > 0) { Object.entries(params).forEach(([key, value]) => { if (value !== undefined && value !== null) { if (Array.isArray(value)) { value.forEach(v => url.searchParams.append(`${key}[]`, v)); } else { url.searchParams.append(key, value.toString()); } } }); } const fetchOptions = { method, headers: { 'Authorization': `Bearer ${chainfetchToken}`, 'Content-Type': 'application/json', }, }; if (body && method !== 'GET') { fetchOptions.body = JSON.stringify(body); } const response = await fetch(url.toString(), fetchOptions); if (!response.ok) { const errorText = await response.text(); throw new McpError( ErrorCode.InternalError, `API request failed: ${response.status} ${response.statusText} - ${errorText}` ); } return await response.json(); }