Web search MCP server with AI-powered content extraction
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# morph-websearch-mcp Web search, page fetching, and AI-powered research for MCP-compatible clients. `morph-websearch-mcp` searches DuckDuckGo, fetches pages with [crawl4ai](https://crawl4ai.com), and compacts noisy webpage content with [Morph](https://morphllm.com). By default, results are AI-enriched into a synthesized answer with cited sources. Set `enrich=false` to get raw page content instead. ## Features | Tool | Description | | --- | --- | | `websearch` | Searches DuckDuckGo, fetches result pages, and returns AI-enriched answers with sources by default. Pass `enrich=false` for raw results. | | `webfetch` | Fetches one URL and returns compacted markdown. | Works without a Morph API key — falls back to uncompacted scraping with a warning. Set the key to enable AI compaction and enrichment. ## Requirements - Python 3.13 or newer - (Optional) A Morph API key from [morphllm.com/dashboard/api-keys](https://morphllm.com/dashboard/api-keys) for compaction and AI enrichment - An MCP-compatible client, such as OpenCode, Claude Desktop, Cursor, or another client that can launch local MCP servers ## Install For most MCP clients, install the server as a standalone command: ```bash pipx install morph-websearch-mcp ``` If you prefer installing into the current Python environment: ```bash pip install morph-websearch-mcp ``` For local development from an existing checkout: ```bash cd morph-websearch-mcp uv sync ``` ## Configure Your API Key Set `MORPH_API_KEY` in the environment used by your MCP client: ```bash export MORPH_API_KEY="sk-..." ``` If your client is launched from a desktop app, make sure the desktop app can see that environment variable. When in doubt, put the key directly in the client MCP config instead of relying on your shell startup files. ## OpenCode Setup Add the server to your OpenCode config: ```jsonc { "$schema": "https://opencode.ai/config.json", "mcp": { "websearch": { "type": "local", "command": ["websearch-m…
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