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Webhound

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Budgeted reports and datasets with Hound, Webhound's DeepSeek V4 Pro + GPT-5.4 research harness.

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Overview Installation

Overview

Webhound is a Model Context Protocol (MCP) server: Budgeted reports and datasets with Hound, Webhound's DeepSeek V4 Pro + GPT-5.4 research harness. As an MCP server it plugs straight into AI assistants, exposing its functionality as tools the model can invoke on your behalf.

You can run Webhound two ways: connect to the hosted endpoint at https://api.webhound.ai/api/v2/mcp with no local install, or run it on your own machine via the npm package webhound-mcp. Configuration happens through environment variables — you'll need WEBHOUND_KEY. The current release is v0.5.2.

You'll find Webhound in the Development category here on mcp.site; it connects to Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, and any other MCP client — see the install snippets below. If you maintain Webhound for webhound.ai, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Hosted endpoint — Streamable HTTP · https://api.webhound.ai/api/v2/mcp
npm package — webhound-mcp · MCP over stdio
Credentials — Requires WEBHOUND_KEY

Installation

Settings → Connectors → Add custom connector
Name: Webhound
URL:  https://api.webhound.ai/api/v2/mcp

Requires WEBHOUND_KEY

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