Google Surf Mcp

Web, academic and code search with graph RAG, data lineage, ontology and cross-project schema links.

Get it
LLM Mart 3 views 8 listing impressions
Transport
Not stated
Package
—
Registry id
io.github.HarimxChoi/google-surf-mcp

No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.

English | Korean

npm version npm downloads ci MCP Toplist google-surf-mcp MCP server

SearchApi Google Search API

Sponsored by SearchApi

Integrated project knowledge graph

Web searches, papers, and GitHub repositories are stored as PKM, ontology, and lineage. The view above is generated with project_memory(action="export", export_format="html", export_view="graph", all_projects=true).

"Turn Google Search, Papers, and Codebases into an Automatic Local Knowledge Graph and lineage for AI Agents with Zero API Key, Zero External Server."

Google Surf stores search and extraction results in a project-scoped local knowledge graph.

As you search, papers, code, web sources, session intent, plans, experiments, and decisions accumulate in a personal PKM. New research searches stored knowledge and fresh web results together, reducing repeated work while continuing to discover new information.

Projects remain isolated by default. Only verifiable links such as matching DOIs, repository URLs, or explicit aliases are added, so knowledge from one project can be reused in another without merging the original records.

Retrieval runs exact search, BM25, vector search, code and graph search, and live web independently, then combines them with RRF and one shared reranker.

Live web + Papers + Codebases + Project memory
                        ↓
Exact + BM25 + Vector + Code graph + Graph PPR
                        ↓
              RRF + Shared reranker
                        ↓
        Results with evidence and provenance

Seven tools are available by default: search / search_parallel / extract / scholar_search / project_memory_search / project_memory / health.

Research mode and automatic capture are enabled by default. Set SURF_RESEARCH=false to use search and extraction without opening the database or graph sidecar; the project memory tools are not registered in that mode.

With research mode disabled, live search and search_parallel results still use a lightweight in-memory reranker. It fuses the provider order with query BM25 rank through RRF without loading the vector model or opening local storage.

Browser search needs no API key. SearchApi can be configured as an optional primary provider or fallback.

Core features

From the project's README.