The server reads `HARUSPEX_API_KEY` at runtime for live data; get a key at https://haruspex.guru/settings. The Anthropic Skills below depend on this
The server reads HARUSPEX_API_KEY at runtime for live data; get a key at https://haruspex.guru/settings. The Anthropic Skills below depend on this MCP server for their data — without it installed, the skills detect that, output install. Exposed over MCP by the haruspex skills mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
@haruspex-guru/mcp-server on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
You will need one environment variable: HARUSPEX_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
@haruspex-guru/mcp-server via npx. Full per-surface MCP setup details live in shared/MCP_SETUP.md.Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by haruspex-guru; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
{
"mcpServers": {
"haruspex-skills": {
"command": "npx",
"args": ["-y", "@haruspex-guru/mcp-server"],
"env": {
"HARUSPEX_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
@haruspex-guru/mcp-server via npx. Full per-surface MCP setup details live in shared/MCP_SETUP.md.| Variable | Description | Required |
|---|---|---|
| HARUSPEX_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.