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49 lines (49 loc) · 1.56 KB
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{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.firish/webfetch",
"title": "webfetch",
"description": "Self-hosted web search for LLM agents: search -> fetch -> rank pipeline with semantic caching",
"repository": {
"url": "https://github.com/firish/webfetch",
"source": "github"
},
"version": "0.1.3",
"packages": [
{
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"identifier": "webfetch-llm",
"version": "0.1.3",
"runtimeHint": "uvx",
"transport": {
"type": "stdio"
},
"environmentVariables": [
{
"name": "BRAVE_API_KEY",
"description": "Optional - adds Brave to the multi-engine fusion. DDG works with no keys at all.",
"isRequired": false,
"isSecret": true
},
{
"name": "SERPER_API_KEY",
"description": "Optional - adds Serper (Google results) to the multi-engine fusion.",
"isRequired": false,
"isSecret": true
},
{
"name": "TAVILY_API_KEY",
"description": "Optional - adds Tavily to the multi-engine fusion.",
"isRequired": false,
"isSecret": true
},
{
"name": "WEBFETCH_PROVIDER",
"description": "Optional - search strategy: multi (RRF fusion of available engines, default), fallback (priority failover), or a single engine name like ddg.",
"isRequired": false,
"isSecret": false
}
]
}
]
}