Google Search MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GOOGLE_CSE_ID | Yes | Your Google Custom Search Engine ID | |
| GOOGLE_API_KEY | Yes | Your Google Custom Search API key |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
| resources | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| google_searchC | Search the web using Google Custom Search API with various filtering options |
| extract_contentC | Extract main content and analyze sentiment from a web page |
| search_analyticsC | Analyze search trends and get insights from multiple search queries |
| multi_site_searchB | Search across multiple specific websites simultaneously |
| news_monitorC | Monitor news and get alerts for specific topics |
| academic_searchC | Search academic papers and research documents |
| content_summarizerB | Extract and summarize content from multiple URLs with sentiment analysis and intelligent insights |
| fact_checkerA | Verify claims by searching multiple authoritative sources with credibility analysis and evidence extraction |
| research_assistantC | Comprehensive research assistant with multi-step workflows, source synthesis, and structured report generation |
| search_trendsC | Track and analyze search interest trends over time with predictive insights and emerging topic discovery |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| Cached Search Results | Recently cached Google search results for a query with metadata and timestamps |
| Search Trends Data | Search interest trends and predictions for a specific topic over time |
| Search Analytics | Analytics data including multiple search results, patterns, and insights for a query |
| Extracted Content Cache | Cached extracted content, sentiment analysis, and metadata from a web page |
| Recent News Feed | Recent news articles and updates for a specific topic with credibility analysis |
| Academic Search Results | Cached academic papers and research documents for a scholarly query |
| Research Summary | Comprehensive research summary with sources, analysis, and key findings |
| Fact Check Results | Fact verification results with supporting evidence and credibility scores |
TDQS
Scored across 10 tools
Most tools have distinct purposes (e.g., academic_search vs. google_search), but some overlap exists between content_summarizer and extract_content, and between search_analytics and search_trends. Descriptions help clarify, but an agent might occasionally misselect.
Tool names use a consistent snake_case format, but the pattern varies: some are verb_noun (extract_content), others are noun_noun (search_trends) or noun (fact_checker). The naming is clear and readable overall.
With 10 tools, the server is well-scoped for search and research tasks. Each tool addresses a specific need without being too many or too few.
The tool set covers a wide range of search-related operations: general search, academic search, multi-site search, content extraction, fact-checking, news monitoring, research synthesis, and trend analysis. This is comprehensive for a search MCP server.