Harmonic Search
Search for companies and professionals using the Harmonic.ai API.
Harmonic MCP Server
A Model Context Protocol (MCP) server that provides access to Harmonic.ai's API for searching companies and people/professionals.
Features
- Search companies in Harmonic's database
- Get detailed company information by domain
- Search for people/professionals
- Get detailed person information by ID
- Standalone package with all dependencies included
Building
Install dependencies:
npm install
Build the server:
npm run build
This creates a standalone package in dist/standalone/ with all dependencies included.
Usage with Claude Desktop
-
Get your Harmonic API key from https://console.harmonic.ai/docs/dashboard
-
Add the server to your Claude Desktop configuration:
Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"harmonic": {
"command": "node",
"args": ["/absolute/path/to/HarmonicMCPServer/dist/standalone/index.js"]
}
}
}
Important:
- Replace
/absolute/path/to/HarmonicMCPServerwith the actual path to your project - Use the full path to node (find it with
which node) - Make sure the path has no spaces or special characters
-
Restart Claude Desktop
-
In Claude, first set your API key:
Use the harmonic_set_api_key tool with your API key
- Now you can use the Harmonic tools:
harmonic_search_company_by_domain- Search for a company by its website domainharmonic_search_companies- Search for companies by queryharmonic_search_people- Search for people/professionalsharmonic_get_saved_search_results- Get results from a saved searchharmonic_get_company_employees- Get all active employees from a company
Available Tools
harmonic_set_api_key
Set your Harmonic API key for authentication.
Parameters:
api_key(required): Your Harmonic API key
harmonic_search_company_by_domain
Search for a company by its website domain using POST method.
Parameters:
domain(required): The website domain of the company (e.g., harmonic.ai)
harmonic_search_companies
Search for companies by query using GET method.
Parameters:
query(required): Search query for companiessize(optional): Number of results to return (default: 50)cursor(optional): Cursor for pagination
harmonic_search_people
Search for people/professionals using GET method.
Parameters:
query(required): Search query for peoplesize(optional): Number of results to return (default: 50)cursor(optional): Cursor for pagination
harmonic_get_saved_search_results
Get results from a saved search.
Parameters:
search_id(required): The ID of the saved searchsize(optional): Number of results to return (default: 50)cursor(optional): Cursor for pagination
harmonic_get_company_employees
Get all active employees from a company.
Parameters:
company_id(required): The ID of the companysize(optional): Number of results to return (default: 50)cursor(optional): Cursor for pagination
Development
Run in development mode:
npm run dev
API Documentation
For more information about Harmonic's API, visit: https://console.harmonic.ai/docs/api-reference/introduction
관련 서버
Agently MCP
Discover public A2A agents on the Agently platform using its public API.
arch-mcp
An AI-powered bridge to the Arch Linux ecosystem that enables intelligent package management, AUR access, and Arch Wiki queries through the Model Context Protocol (MCP).
Ripgrep Search
Efficiently search Obsidian vaults using the ripgrep tool.
Console MCP Server
Bridge external console processes with Copilot by searching through JSON log files.
Jina AI MCP Server
Access Jina AI's web services for web page reading, web search, and fact-checking. Requires a Jina AI API key.
Yoku
Enhance your applications, workflows and AI systems with reliable company data using our comprehensive Brand Identity API.
Google News
Google News search capabilities with automatic topic categorization and multi-language support via SerpAPI integration.
PubMed MCP Server
A server for searching, retrieving, and analyzing articles from the PubMed database.
G-Search MCP
A Google search server using Playwright for parallel keyword searches.
Contextual MCP Server
A server for Retrieval-Augmented Generation (RAG) using the Contextual AI platform.