INDIVIDUAL MCP TOOL
run_at_companies_search
Search the Austria company registry (Firmenbuch) by company name or FN: name, registration number, status, seat and link.
LIVE ENDPOINT
https://api.neuralverge.ai/functions/v1/mcp-server
Connect to this endpoint to inspect the live schema for run_at_companies_search and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.neuralverge]
url = "https://api.neuralverge.ai/functions/v1/mcp-server"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"neuralverge": {
"type": "http",
"url": "https://api.neuralverge.ai/functions/v1/mcp-server"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: neuralverge
Remote MCP URL: https://api.neuralverge.ai/functions/v1/mcp-server
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"neuralverge": {
"url": "https://api.neuralverge.ai/functions/v1/mcp-server"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"neuralverge": {
"type": "http",
"url": "https://api.neuralverge.ai/functions/v1/mcp-server"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "neuralverge",
"transport": "streamable-http",
"url": "https://api.neuralverge.ai/functions/v1/mcp-server"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
run_search— Runs a synchronous web search and returns a structured list of ranked results (title, url, snippet) immediately, without polling.run_extract— Loads a webpage by URL and extracts structured data from it according to natural-language instructions and/or a JSON schema.run_linkedin_email— Looks up a LinkedIn profile by its full profile URL and returns contact details, including an email address when available.run_linkedin_domain— Finds a LinkedIn profile matching a company name or domain plus a full name.run_linkedin_company_search— Searches LinkedIn companies by a text query with optional filters (size, industry, location).run_linkedin_people_search— Searches LinkedIn people using an optional free-text query and a rich set of advanced filters (company, title, seniority, location, experience, industry).run_linkedin_company_employee— Searches LinkedIn employees of one or more given companies, using the same people-style filters as run_linkedin_people_search.run_email_enrichment— Enriches a known email address with associated profile data (name, phone, company, position, LinkedIn/X profiles) when available.