MCP Server
MCP
webfetch
Self-hosted web search for LLM agents: search -> fetch -> rank pipeline with semantic caching
Install
uvx webfetch-llm
Configuration Example
{
"remotes": [],
"packages": [
{
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"identifier": "webfetch-llm",
"version": "0.1.3",
"runtimeHint": "uvx",
"transport": {
"type": "stdio"
},
"environmentVariables": [
{
"description": "Optional - adds Brave to the multi-engine fusion. DDG works with no keys at all.",
"isSecret": true,
"name": "BRAVE_API_KEY"
},
{
"description": "Optional - adds Serper (Google results) to the multi-engine fusion.",
"isSecret": true,
"name": "SERPER_API_KEY"
},
{
"description": "Optional - adds Tavily to the multi-engine fusion.",
"isSecret": true,
"name": "TAVILY_API_KEY"
},
{
"description": "Optional - search strategy: multi (RRF fusion of available engines, default), fallback (priority failover), or a single engine name like ddg.",
"name": "WEBFETCH_PROVIDER"
}
]
}
]
}
mcp
model-context-protocol
pypi
By
Comments
Sign in to leave a comment