google-research-mcp
Power your AI agents with Google Search–enhanced research via an open-source MCP server. Includes tools for Google Search, YouTube/web scraping, LLM-driven synthesis, persistent caching, and dual transport (STDIO + HTTP SSE) for efficient, flexible integration.
Documentation
google-researcher-mcp — DEPRECATED
> **⚠️ This project has been superseded by `web-researcher-mcp`.**
>
> A complete rewrite in Go: same tools, but it cites real sources and stays honest — citation verification, retraction flagging, eight search providers behind one interface, and a single signed static binary. No Node.js, no npm.
Migrate in one line
Your API keys and tool calls don't change — only how the server is launched. Pick whichever you prefer (no Node required):
# macOS / Linux — installs the binary and registers it with Claude Code automatically:
curl -fsSL https://raw.githubusercontent.com/zoharbabin/web-researcher-mcp/main/install.sh | sh
# Windows (PowerShell):
powershell -ExecutionPolicy Bypass -c "irm https://raw.githubusercontent.com/zoharbabin/web-researcher-mcp/main/install.ps1 | iex"
# Python users (uv) — run with no install:
uvx web-researcher-mcpBefore / after (MCP client config)
The config keeps the same shape — swap the `command`/`args`, keep your env:
// BEFORE — google-researcher-mcp (npx / Node)
{
"mcpServers": {
"google-researcher": {
"command": "npx",
"args": ["-y", "google-researcher-mcp"],
"env": { "GOOGLE_CUSTOM_SEARCH_API_KEY": "…", "GOOGLE_CUSTOM_SEARCH_ID": "…" }
}
}
}
// AFTER — web-researcher-mcp (installed binary; or use "uvx" + args ["web-researcher-mcp"])
{
"mcpServers": {
"web-researcher": {
"command": "web-researcher-mcp",
"env": { "GOOGLE_CUSTOM_SEARCH_API_KEY": "…", "GOOGLE_CUSTOM_SEARCH_ID": "…" }
}
}
}> Don't run both at once — they register identical tool names. Remove the `google-researcher` entry before adding `web-researcher`.
**→ Full migration guide**
Your existing `GOOGLE_CUSTOM_SEARCH_API_KEY` and `GOOGLE_CUSTOM_SEARCH_ID` work unchanged.
Why the Rewrite?
| Open Issue | Resolution in web-researcher-mcp |
|---|---|
| #108 — Orphan detection fails via npx | Go binary has native process lifecycle (EOF/SIGPIPE) — no npm wrapper |
| #107 — Google discontinuing 'entire web' search | Eight providers (Brave, Serper, SearXNG, SearchAPI, Tavily, Exa, DuckDuckGo + Google PSE for lenses) with automatic fallback |
| #55 — Support alternative search engines | Multiple engines behind one interface, plus a zero-config DuckDuckGo default |
| #72 — Add Redis caching | Hybrid cache: memory + AES-encrypted disk + optional Redis |
| #40 — Split server.ts into modules | Fully modular Go architecture (one package per concern) |
Plus what's new: verify_citation and audit_bibliography (catch fabricated/retracted citations), academic / patent / SEC-filing / US-case-law / economic / clinical-trial search, and authority-weighted search lenses.
Links
- New project: https://github.com/zoharbabin/web-researcher-mcp
- Install (all methods): README → Get started
- Docker: `docker pull zoharbabin/web-researcher-mcp:latest`
- Releases: https://github.com/zoharbabin/web-researcher-mcp/releases
Frequently asked questions
What is google-research-mcp?
google-research-mcp is Power your AI agents with Google Search–enhanced research via an open-source MCP server. Includes tools for Google Search, YouTube/web scraping, LLM-driven synthesis, persistent caching, and dual transport (STDIO + HTTP SSE) for efficient, flexible integration.
How do I install google-research-mcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is google-research-mcp open source?
Yes — it is hosted on GitHub at https://github.com/zoharbabin/google-research-mcp and has 6 stars.
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