Provider-neutral web_search for AI agents. Grounding + agent search APIs, keyless defaults.
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io.github.JerryLiu369/agent-web-search is an MCP server that provider-neutral web_search for AI agents. Grounding + agent search APIs, keyless defaults. Its tool list has not been published yet over stdio and http, requires no API key, and scores 61/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"agent-web-search": {
"args": [],
"command": "agent-web-search-mcp"
}
}
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Provider-neutral web_search for AI agents. Grounding + agent search APIs, keyless defaults.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked skills against OSV.dev.
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Agent-native web search — model-native grounding and agent search APIs behind one provider-neutral contract.
English | 简体中文
One-click remote MCP
Works with Codex CLI, Claude Code, OpenCode, Hermes, DeepSeek Harness (DSH), ordinary shell scripts, Python applications, and remote Streamable HTTP MCP clients.
Quickstart · Use with an agent · Providers · Configuration
Shared interface · Other interfaces · Troubleshooting · FAQ · Architecture · Development
Agent Web Search (PyPI: agent-web-search-mcp) is an open-source,
MIT-licensed web search MCP server, CLI, and Python library for AI agents. It
gives an agent three ways to reach the same provider-neutral search core: a
native MCP tool, a native plugin (Hermes, DeepSeek Harness), or a CLI taught
through a standard Agent Skill.
If you are an AI agent: install with
pipx install agent-web-search-mcp(or try instantly withuvx --from agent-web-search-mcp agent-web-search "<question>"), then readskills/agent-web-search/SKILL.md— it teaches the CLI pathway only (for MCP setups, follow Option 1 instead).llms.txtis the machine-readable doc index.
This is not a Google/Bing/Baidu metasearch wrapper. Traditional search aggregation fans a keyword query out to conventional engines and merges their result pages. Agent Web Search instead aggregates search capabilities built for agents: model-native web grounding, agent-oriented search APIs, and context-ready sources that accept natural-language questions and return answers, citations, or structured evidence in forms an agent can use directly. DDGS is the only conventional search backend in the current provider set.
Natural-language question
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v
SearchEngine
+-----------+-----------+
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... [View full README on GitHub](https://github.com/jerryliu369/agent-web-search#readme)