PowerSearch MCP helps AI agents search and retrieve content from the public web with fewer broken fetches and clean, AI-friendly outputs ready to cite.
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# PowerSearch MCP        PowerSearch MCP helps AI agents search and retrieve content from the public web with fewer broken fetches and clean, AI-friendly outputs ready to cite. ## TL;DR **Step 1**: Clone the repository then run initialize the virtual environment: ```shell git clone https://github.com/theobjectivedad/powersearch-mcp.git ``` **Step 2**: Initialize the virtual environment: ```shell cd powersearch-mcp make init ``` **Step 3**: Activate the virtual environment: ```shell source .venv/bin/activate ``` **Step 4**: Create a `.env` file with your desired configuration, use `example-configs/example.env` as a starting point. ```shell cp example-configs/example.env .env ``` **Step 5**: (Optional) run a local instance of SearXNG: ```shell docker run -d \ --name searxng-local \ --pull=always \ --restart unless-stopped \ -p 127.0.0.1:9876:8080 \ --tmpfs /etc/searxng:rw,noexec,nosuid,size=16m \ --tmpfs /tmp:rw,noexec,nosuid,size=512m \ --cap-drop=ALL \ --security-opt=no-new-privileges:true \ --health-cmd='python3 -c "import urllib.request; urllib.request.urlopen(\"http://127.0.0.1:8080/\", timeout=3).read(1)"' \ --health-interval=10s \ --health-timeout=3s \ --health-retri…
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