Google Researcher MCP Server

npm version npm downloads License: MIT MCP TypeScript Tests Node.js Version

Professional research tools for AI assistants - Google Search, web scraping, academic papers, patents, and more

Features

Tool	Description
`google_search`	Web search with site, date, and language filters
`google_news_search`	News search with freshness controls
`google_image_search`	Image search with type, size, color filters
`scrape_page`	Extract content from web pages, PDFs, DOCX
`search_and_scrape`	Combined search + content extraction
`academic_search`	Papers from arXiv, PubMed, IEEE, Springer
`patent_search`	Patent search with assignee/inventor filters
YouTube	Automatic transcript extraction
`sequential_search`	Multi-step research tracking

Use Cases

Research Assistants: Enable Claude to search the web and synthesize information
Content Creation: Gather sources, citations, and supporting evidence
Academic Research: Find papers, extract citations, track research progress
Competitive Intelligence: Patent searches, company research, market analysis
News Monitoring: Track breaking news, industry updates, specific sources
Technical Documentation: Extract content from docs, tutorials, and references

Comparison with Alternatives

Feature	Google Researcher	Basic Web Search	Manual Research
Web Search	Yes	Yes	No
News Search	Yes	No	No
Image Search	Yes	No	No
Academic Papers	Yes	No	Yes
Patent Search	Yes	No	Yes
YouTube Transcripts	Yes	No	No
PDF Extraction	Yes	No	No
Citation Generation	Yes	No	Yes
Response Caching	Yes (30min)	No	N/A
Rate Limiting	Yes	No	N/A

This is a Model Context Protocol (MCP) server that enables AI assistants like Claude, GPT, and other LLMs to:

Search the web via Google (general, images, news)
Read any webpage including JavaScript-rendered sites
Extract YouTube transcripts automatically
Parse documents (PDF, DOCX, PPTX)

Built for production use with caching, quality scoring, and enterprise security.

Quick Start

Claude Desktop (macOS)

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "google-researcher": {
      "command": "npx",
      "args": ["-y", "google-researcher-mcp"],
      "env": {
        "GOOGLE_CUSTOM_SEARCH_API_KEY": "YOUR_API_KEY_HERE",
        "GOOGLE_CUSTOM_SEARCH_ID": "YOUR_SEARCH_ID_HERE"
      }
    }
  }
}

Claude Desktop (Windows)

Add to %APPDATA%\Claude\claude_desktop_config.json:

{
  "mcpServers": {
    "google-researcher": {
      "command": "npx",
      "args": ["-y", "google-researcher-mcp"],
      "env": {
        "GOOGLE_CUSTOM_SEARCH_API_KEY": "YOUR_API_KEY_HERE",
        "GOOGLE_CUSTOM_SEARCH_ID": "YOUR_SEARCH_ID_HERE"
      }
    }
  }
}

One-Click Install (MCPB)

Download the latest .mcpb bundle from GitHub Releases and double-click to install in Claude Desktop. You'll be prompted to enter your Google API credentials.

Claude Code

Add to ~/.claude.json:

{
  "mcpServers": {
    "google-researcher": {
      "command": "npx",
      "args": ["-y", "google-researcher-mcp"],
      "env": {
        "GOOGLE_CUSTOM_SEARCH_API_KEY": "YOUR_API_KEY_HERE",
        "GOOGLE_CUSTOM_SEARCH_ID": "YOUR_SEARCH_ID_HERE"
      }
    }
  }
}

Cline / Roo Code

Use the same JSON configuration above in your MCP settings.

Need API keys? See the API Setup Guide for step-by-step instructions to get your Google API credentials.

Local Development

git clone https://github.com/zoharbabin/google-researcher-mcp.git && cd google-researcher-mcp
npm install && npx playwright install chromium
cp .env.example .env   # Then add your Google API keys to .env
npm run dev            # Server is now running on STDIO transport

Note: This starts the server in STDIO mode, which is all you need for local AI assistant integrations. HTTP transport with OAuth is only required for web-based or multi-client setups — see Choosing a Transport.

Verify It Works

Once configured, ask your AI assistant:

"Search for the latest news about AI regulations"

The assistant will use the google_news_search tool and return current articles. If you see search results, the server is working correctly.

For AI Assistants (LLMs)

If you are an AI assistant reading this, here's how to use this MCP server:

Recommended Tool Selection

Your Task	Use This Tool
Research a topic, answer a question	`search_and_scrape` — searches AND retrieves content in one call (recommended)
Complex multi-step investigation	`sequential_search` — tracks progress across 3+ searches, supports branching
Find academic papers	`academic_search` — searches arXiv, PubMed, IEEE with citations (APA, MLA, BibTeX)
Search patents	`patent_search` — Google Patents for prior art, FTO analysis
Find recent news	`google_news_search` — with freshness filtering and date sorting
Find images	`google_image_search` — with size/type/color filtering
Get a list of URLs only	`google_search` — when you need URLs but will process pages yourself
Read a specific URL	`scrape_page` — also extracts YouTube transcripts and parses PDF/DOCX/PPTX

Example Tool Calls

// Research a topic (RECOMMENDED for most queries)
{ "name": "search_and_scrape", "arguments": { "query": "climate change effects 2024", "num_results": 5 } }

// Multi-step research with tracking (for complex investigations)
{ "name": "sequential_search", "arguments": { "searchStep": "Starting research on quantum computing", "stepNumber": 1, "totalStepsEstimate": 4, "nextStepNeeded": true } }

// Find academic papers (peer-reviewed sources with citations)
{ "name": "academic_search", "arguments": { "query": "transformer neural networks", "num_results": 5 } }

// Search patents (prior art, FTO analysis)
{ "name": "patent_search", "arguments": { "query": "machine learning optimization", "search_type": "prior_art" } }

// Get recent news
{ "name": "google_news_search", "arguments": { "query": "AI regulations", "freshness": "week" } }

// Find images
{ "name": "google_image_search", "arguments": { "query": "solar panel installation", "type": "photo" } }

// Read a specific page
{ "name": "scrape_page", "arguments": { "url": "https://example.com/article" } }

// Get YouTube transcript
{ "name": "scrape_page", "arguments": { "url": "https://www.youtube.com/watch?v=VIDEO_ID" } }

Key Behaviors

Caching: Results are cached (30 min for search, 1 hour for scrape). Repeated queries are fast.
Quality Scoring: search_and_scrape ranks sources by relevance, freshness, authority, and content quality.
Graceful Failures: If some sources fail, you still get results from successful ones.
Document Support: scrape_page auto-detects PDFs, DOCX, PPTX and extracts text.

Available Tools

When to Use Each Tool

Tool	Best For	Use When...
`search_and_scrape`	Research (recommended)	You need to answer a question using web sources. Most efficient — searches AND retrieves content in one call. Sources are quality-scored.
`sequential_search`	Complex investigations	3+ searches needed with different angles, or research you might abandon early. Tracks progress, supports branching. You reason; it tracks state.
`academic_search`	Peer-reviewed papers	Research requiring authoritative academic sources. Returns papers with citations (APA, MLA, BibTeX), abstracts, and PDF links.
`patent_search`	Patent research	Prior art search, freedom to operate (FTO) analysis, patent landscaping. Returns patents with numbers, assignees, inventors, and PDF links.
`google_search`	Finding URLs only	You only need a list of URLs (not their content), or want to process pages yourself with custom logic.
`google_image_search`	Finding images	You need visual content — photos, illustrations, graphics. For text research, use search_and_scrape.
`google_news_search`	Current news	You need recent news articles. Use scrape_page on results to read full articles.
`scrape_page`	Reading a specific URL	You have a URL and need its content. Auto-handles YouTube transcripts and documents (PDF, DOCX, PPTX).

Tool Reference

`search_and_scrape` (Recommended for research)

Searches Google and retrieves content from top results in one call. Returns quality-scored, deduplicated text with source attribution. Includes size metadata (estimatedTokens, sizeCategory, truncated) in response.

Parameter	Type	Default	Description
`query`	string	required	Search query (1-500 chars)
`num_results`	number	3	Number of results (1-10)
`include_sources`	boolean	true	Append source URLs
`deduplicate`	boolean	true	Remove duplicate content
`max_length_per_source`	number	50KB	Max content per source in chars
`total_max_length`	number	300KB	Max total combined content in chars
`filter_by_query`	boolean	false	Filter to only paragraphs containing query keywords

`google_search`

Returns ranked URLs from Google. Use when you only need links, not content.

Parameter	Type	Default	Description
`query`	string	required	Search query (1-500 chars)
`num_results`	number	5	Number of results (1-10)
`time_range`	string	-	`day`, `week`, `month`, `year`
`site_search`	string	-	Limit to domain
`exact_terms`	string	-	Required phrase
`exclude_terms`	string	-	Exclude words

`google_image_search`

Searches Google Images with filtering options.

Parameter	Type	Default	Description
`query`	string	required	Search query (1-500 chars)
`num_results`	number	5	Number of results (1-10)
`size`	string	-	`huge`, `large`, `medium`, `small`
`type`	string	-	`clipart`, `face`, `lineart`, `photo`, `animated`
`color_type`	string	-	`color`, `gray`, `mono`, `trans`
`file_type`	string	-	`jpg`, `gif`, `png`, `bmp`, `svg`, `webp`

`google_news_search`

Searches Google News with freshness and date sorting.

Parameter	Type	Default	Description
`query`	string	required	Search query (1-500 chars)
`num_results`	number	5	Number of results (1-10)
`freshness`	string	week	`hour`, `day`, `week`, `month`, `year`
`sort_by`	string	relevance	`relevance`, `date`
`news_source`	string	-	Filter to specific source

`scrape_page`

Extracts text from any URL. Auto-detects: web pages (static/JS), YouTube (transcript), documents (PDF/DOCX/PPTX).

Parameter	Type	Default	Description
`url`	string	required	URL to scrape (max 2048 chars)
`max_length`	number	50KB	Maximum content length in chars. Content exceeding this is truncated at natural breakpoints.
`mode`	string	full	`full` returns content, `preview` returns metadata + structure only (useful to check size before fetching)

`sequential_search`

Tracks multi-step research state. Following the sequential_thinking pattern: you do the reasoning, the tool tracks state.

Parameter	Type	Default	Description
`searchStep`	string	required	Description of current step (1-2000 chars)
`stepNumber`	number	required	Current step number (starts at 1)
`totalStepsEstimate`	number	5	Estimated total steps (1-50)
`nextStepNeeded`	boolean	required	`true` if more steps needed, `false` when done
`source`	object	-	Source found: `{ url, summary, qualityScore? }`
`knowledgeGap`	string	-	Gap identified — what's still missing
`isRevision`	boolean	-	`true` if revising a previous step
`revisesStep`	number	-	Step number being revised
`branchId`	string	-	Identifier for branching research

`academic_search`

Searches academic papers via Google Custom Search API, filtered to academic sources (arXiv, PubMed, IEEE, Nature, Springer, etc.). Returns papers with pre-formatted citations.

Parameter	Type	Default	Description
`query`	string	required	Search query (1-500 chars)
`num_results`	number	5	Number of papers (1-10)
`year_from`	number	-	Filter by min publication year
`year_to`	number	-	Filter by max publication year
`source`	string	all	`all`, `arxiv`, `pubmed`, `ieee`, `nature`, `springer`
`pdf_only`	boolean	false	Only return results with PDF links
`sort_by`	string	relevance	`relevance`, `date`

`patent_search`

Searches Google Patents for prior art, freedom to operate (FTO) analysis, and patent landscaping. Returns patents with numbers, assignees, inventors, and PDF links.

Parameter	Type	Default	Description
`query`	string	required	Search query (1-500 chars)
`num_results`	number	5	Number of results (1-10)
`search_type`	string	prior_art	`prior_art`, `specific`, `landscape`
`patent_office`	string	all	`all`, `US`, `EP`, `WO`, `JP`, `CN`, `KR`
`assignee`	string	-	Filter by assignee/company
`inventor`	string	-	Filter by inventor name
`cpc_code`	string	-	Filter by CPC classification code
`year_from`	number	-	Filter by min year
`year_to`	number	-	Filter by max year

Features

Core Capabilities

Feature	Description
Web Scraping	Fast static HTML + automatic Playwright fallback for JavaScript-rendered pages
YouTube Transcripts	Robust extraction with retry logic and 10 classified error types
Document Parsing	Auto-detects and extracts text from PDF, DOCX, PPTX
Quality Scoring	Sources ranked by relevance (35%), freshness (20%), authority (25%), content quality (20%)

MCP Protocol Support

Feature	Description
Tools	8 tools: `search_and_scrape`, `google_search`, `google_image_search`, `google_news_search`, `scrape_page`, `sequential_search`, `academic_search`, `patent_search`
Resources	Expose server state: `stats://tools` (per-tool metrics), `stats://cache`, `search://recent`, `config://server`
Prompts	Pre-built templates: `comprehensive-research`, `fact-check`, `summarize-url`, `news-briefing`
Annotations	Content tagged with audience, priority, and timestamps

Production Ready

Feature	Description
Caching	Two-layer (memory + disk) with per-tool namespaces, reduces API costs
Dual Transport	STDIO for local clients, HTTP+SSE for web apps
Security	OAuth 2.1, SSRF protection, granular scopes
Resilience	Circuit breaker, timeouts, graceful degradation
Monitoring	Admin endpoints for cache stats, event store, health checks

For detailed documentation: YouTube Transcripts · Architecture · Testing

System Architecture

graph TD
    A[MCP Client] -->|local process| B[STDIO Transport]
    A -->|network| C[HTTP+SSE Transport]

    C --> L[OAuth 2.1 + Rate Limiter]
    L --> D
    C -.->|session replay| K[Event Store]
    B --> D[McpServer<br>MCP SDK routing + dispatch]

    D --> F[google_search]
    D --> G[scrape_page]
    D --> I[search_and_scrape]
    D --> IMG[google_image_search]
    D --> NEWS[google_news_search]
    I -.->|delegates| F
    I -.->|delegates| G
    I --> Q[Quality Scoring]

    G --> N[SSRF Validator]
    N --> S1[CheerioCrawler<br>static HTML]
    S1 -.->|insufficient content| S2[Playwright<br>JS rendering]
    G --> YT[YouTube Transcript<br>Extractor]

    F & G & IMG & NEWS --> J[Persistent Cache<br>memory + disk]

    D -.-> R[MCP Resources]
    D -.-> P[MCP Prompts]

    style J fill:#f9f,stroke:#333,stroke-width:2px
    style K fill:#ccf,stroke:#333,stroke-width:2px
    style L fill:#f99,stroke:#333,stroke-width:2px
    style N fill:#ff9,stroke:#333,stroke-width:2px
    style Q fill:#9f9,stroke:#333,stroke-width:2px

For a detailed explanation, see the Architecture Guide.

Getting Started

Prerequisites

Node.js 20.0.0 or higher
Google API Keys:
- Custom Search API Key
- Custom Search Engine ID
Chromium (for JavaScript rendering): Installed automatically via npx playwright install chromium
OAuth 2.1 Provider (HTTP transport only): An external authorization server (e.g., Auth0, Okta) to issue JWTs. Not needed for STDIO.

Installation & Setup

Clone the Repository:

git clone https://github.com/zoharbabin/google-researcher-mcp.git
cd google-researcher-mcp

Install Dependencies:

npm install
npx playwright install chromium

Configure Environment Variables:
```
cp .env.example .env
```
Open .env and add your Google API keys. All other variables are optional — see the comments in .env.example for detailed explanations.

Running the Server

Development (auto-reload on file changes):
```
npm run dev
```
Production:
```
npm run build
npm start
```

Running with Docker

# Build the image
docker build -t google-researcher-mcp .

# Run in STDIO mode (default, for MCP clients)
docker run -i --rm --env-file .env google-researcher-mcp

# Run with HTTP transport on port 3000
# (MCP_TEST_MODE= overrides the Dockerfile default of "stdio" to enable HTTP)
docker run -d --rm --env-file .env -e MCP_TEST_MODE= -p 3000:3000 google-researcher-mcp

Docker Compose (quick HTTP transport setup):

cp .env.example .env   # Fill in your API keys
docker compose up --build
curl http://localhost:3000/health

Docker with Claude Code (~/.claude/claude_desktop_config.json):

{
  "mcpServers": {
    "google-researcher": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "--env-file", "/path/to/.env", "google-researcher-mcp"]
    }
  }
}

Security note: Never bake secrets into the Docker image. Always pass them at runtime via --env-file or -e flags.

Usage

Choosing a Transport

	STDIO	HTTP+SSE
Best for	Local MCP clients (Claude Code, Cline, Roo Code)	Web apps, multi-client setups, remote access
Auth	None needed (process-level isolation)	OAuth 2.1 Bearer tokens required
Setup	Zero config — just provide API keys	Requires OAuth provider (Auth0, Okta, etc.)
Scaling	One server per client process	Single server, many concurrent clients

Recommendation: Use STDIO for local AI assistant integrations. Use HTTP+SSE only when you need a shared service or web application integration.

Client Integration

STDIO Client (Local Process)

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";

const transport = new StdioClientTransport({
  command: "node",
  args: ["dist/server.js"]
});
const client = new Client({ name: "my-client" });
await client.connect(transport);

// Search Google
const searchResult = await client.callTool({
  name: "google_search",
  arguments: { query: "Model Context Protocol" }
});
console.log(searchResult.content[0].text);

// Extract a YouTube transcript
const transcript = await client.callTool({
  name: "scrape_page",
  arguments: { url: "https://www.youtube.com/watch?v=dQw4w9WgXcQ" }
});
console.log(transcript.content[0].text);

HTTP+SSE Client (Web Application)

Requires a valid OAuth 2.1 Bearer token from your configured authorization server.

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const transport = new StreamableHTTPClientTransport(
  new URL("http://localhost:3000/mcp"),
  {
    getAuthorization: async () => `Bearer YOUR_ACCESS_TOKEN`
  }
);
const client = new Client({ name: "my-client" });
await client.connect(transport);

const result = await client.callTool({
  name: "search_and_scrape",
  arguments: { query: "Model Context Protocol", num_results: 3 }
});
console.log(result.content[0].text);

Management API

Administrative and monitoring endpoints (HTTP transport only):

Method	Endpoint	Description	Auth
`GET`	`/health`	Server health check (status, version, uptime)	Public
`GET`	`/version`	Server version and runtime info	Public
`GET`	`/mcp/cache-stats`	Cache performance statistics	`mcp:admin:cache:read`
`GET`	`/mcp/event-store-stats`	Event store usage statistics	`mcp:admin:event-store:read`
`POST`	`/mcp/cache-invalidate`	Clear specific cache entries	`mcp:admin:cache:invalidate`
`POST`	`/mcp/cache-persist`	Force cache save to disk	`mcp:admin:cache:persist`
`GET`	`/mcp/oauth-config`	Current OAuth configuration	`mcp:admin:config:read`
`GET`	`/mcp/oauth-scopes`	OAuth scopes documentation	Public
`GET`	`/mcp/oauth-token-info`	Token details	Authenticated

Security

OAuth 2.1 Authorization

All HTTP endpoints under /mcp/ (except public documentation) are protected by OAuth 2.1:

Token Validation: JWTs are validated against your authorization server's JWKS endpoint (${OAUTH_ISSUER_URL}/.well-known/jwks.json).
Scope Enforcement: Each tool and admin action requires a specific OAuth scope.

Configure OAUTH_ISSUER_URL and OAUTH_AUDIENCE in .env. See .env.example for details.

STDIO users: OAuth is not used for STDIO transport. You can skip all OAuth configuration.

Available Scopes

Tool Execution:

mcp:tool:google_search:execute
mcp:tool:google_image_search:execute
mcp:tool:google_news_search:execute
mcp:tool:scrape_page:execute
mcp:tool:search_and_scrape:execute

Administration:

mcp:admin:cache:read
mcp:admin:cache:invalidate
mcp:admin:cache:persist
mcp:admin:event-store:read
mcp:admin:config:read

MCP Resources

The server exposes state via the MCP Resources protocol. Use resources/list to discover available resources and resources/read to retrieve them.

URI	Description
`search://recent`	Last 20 search queries with timestamps and result counts
`config://server`	Server configuration (version, start time, transport mode)
`stats://cache`	Cache statistics (hit rate, entry count, memory usage)
`stats://events`	Event store statistics (event count, storage size)

Example (using MCP SDK):

const resources = await client.listResources();
const recentSearches = await client.readResource({ uri: "search://recent" });

MCP Prompts

Pre-built research workflow templates are available via the MCP Prompts protocol. Use prompts/list to discover prompts and prompts/get to retrieve a prompt with arguments.

Basic Research Prompts

Prompt	Arguments	Description
`comprehensive-research`	`topic`, `depth` (quick/standard/deep)	Multi-source research on a topic
`fact-check`	`claim`, `sources` (number)	Verify a claim against multiple sources
`summarize-url`	`url`, `format` (brief/detailed/bullets)	Summarize content from a single URL
`news-briefing`	`topic`, `timeRange` (day/week/month)	Get current news summary on a topic

Advanced Research Prompts

Prompt	Arguments	Description
`patent-portfolio-analysis`	`company`, `includeSubsidiaries`	Analyze a company's patent holdings
`competitive-analysis`	`entities` (comma-separated), `aspects`	Compare companies/products
`literature-review`	`topic`, `yearFrom`, `sources`	Academic literature synthesis
`technical-deep-dive`	`technology`, `focusArea`	In-depth technical investigation

Focus areas for architecture, implementation, comparison, best-practices, troubleshooting

Example (using MCP SDK):

const prompts = await client.listPrompts();

// Basic research
const research = await client.getPrompt({
  name: "comprehensive-research",
  arguments: { topic: "quantum computing", depth: "standard" }
});

// Advanced: Patent analysis
const patents = await client.getPrompt({
  name: "patent-portfolio-analysis",
  arguments: { company: "Kaltura", includeSubsidiaries: true }
});

// Advanced: Competitive analysis
const comparison = await client.getPrompt({
  name: "competitive-analysis",
  arguments: { entities: "React, Vue, Angular", aspects: "performance, learning curve, ecosystem" }
});

Testing

Script	Description
`npm test`	Run all unit/component tests (Jest)
`npm run test:e2e`	Full end-to-end suite (STDIO + HTTP + YouTube)
`npm run test:coverage`	Generate code coverage report
`npm run test:e2e:stdio`	STDIO transport E2E only
`npm run test:e2e:sse`	HTTP transport E2E only
`npm run test:e2e:youtube`	YouTube transcript E2E only

All NPM scripts:

Script	Description
`npm start`	Run the built server (production)
`npm run dev`	Start with live-reload (development)
`npm run build`	Compile TypeScript to `dist/`
`npm run inspect`	Open MCP Inspector for interactive debugging

For testing philosophy and structure, see the Testing Guide.

Development Tools

MCP Inspector

The MCP Inspector is a visual debugging tool for MCP servers. Use it to interactively test tools, browse resources, and verify prompts.

Run the Inspector:

npm run inspect

This opens a browser interface at http://localhost:5173 connected to the server via STDIO.

What to Expect:

Primitive	Count	Items
Tools	8	`google_search`, `google_image_search`, `google_news_search`, `scrape_page`, `search_and_scrape`, `sequential_search`, `academic_search`, `patent_search`
Resources	6	`search://recent`, `config://server`, `stats://cache`, `stats://events`, `search://session/current`, `stats://resources`
Prompts	8	`comprehensive-research`, `fact-check`, `summarize-url`, `news-briefing`, `patent-portfolio-analysis`, `competitive-analysis`, `literature-review`, `technical-deep-dive`

Troubleshooting Inspector Issues:

"Cannot find module" error: Run npm run build first — Inspector requires compiled JavaScript.
Tool calls fail with API errors: Ensure GOOGLE_CUSTOM_SEARCH_API_KEY and GOOGLE_CUSTOM_SEARCH_ID are set in your .env file.
Port 5173 in use: The Inspector UI runs on port 5173. Stop other services using that port or check if another Inspector instance is running.
Server crashes on startup: Check that all dependencies are installed (npm install) and Playwright is set up (npx playwright install chromium).

Troubleshooting

Server won't start: Ensure GOOGLE_CUSTOM_SEARCH_API_KEY and GOOGLE_CUSTOM_SEARCH_ID are set in .env. The server exits with a clear error if either is missing.
Empty scrape results: The persistent cache may contain stale entries. Delete storage/persistent_cache/namespaces/scrapePage/ and restart to force fresh scrapes.
Playwright/Chromium errors: Re-run npx playwright install chromium. On Linux, also run npx playwright install-deps chromium for system dependencies. In Docker, these are pre-installed.
Port 3000 in use: Stop the other process (lsof -ti:3000 | xargs kill) or set PORT=3001 npm start.
YouTube transcripts fail: Some videos have transcripts disabled by the owner. The error message includes the specific reason (e.g., TRANSCRIPT_DISABLED, VIDEO_UNAVAILABLE). See the YouTube Transcript Documentation for all error codes.
Cache issues: Use /mcp/cache-stats to inspect cache health, or /mcp/cache-persist to force a save. See the Management API.
OAuth errors: Verify OAUTH_ISSUER_URL and OAUTH_AUDIENCE in .env. Use /mcp/oauth-config to inspect current configuration.
Docker health check failing: The health check hits /health on port 3000, which requires HTTP transport. In STDIO mode (MCP_TEST_MODE=stdio), the health check will fail — this is expected.

Roadmap

Feature requests and improvements are tracked as GitHub Issues. Contributions welcome.

Contributing

We welcome contributions of all kinds! Please see the Contribution Guidelines for details.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Google Researcher MCP Server

Features

Use Cases

Comparison with Alternatives

Quick Start

Claude Desktop (macOS)

Claude Desktop (Windows)

One-Click Install (MCPB)

Claude Code

Cline / Roo Code

Local Development

Verify It Works

For AI Assistants (LLMs)

Recommended Tool Selection

Example Tool Calls

Key Behaviors

Table of Contents

Available Tools

When to Use Each Tool

Tool Reference

search_and_scrape (Recommended for research)

google_search

google_image_search

google_news_search

scrape_page

sequential_search

academic_search

patent_search

Features

Core Capabilities

MCP Protocol Support

Production Ready

System Architecture

Getting Started

Prerequisites

Installation & Setup

Running the Server

Running with Docker

Usage

Choosing a Transport

Client Integration

STDIO Client (Local Process)

HTTP+SSE Client (Web Application)

Management API

Security

OAuth 2.1 Authorization

Available Scopes

MCP Resources

MCP Prompts

Basic Research Prompts

Advanced Research Prompts

Testing

Development Tools

MCP Inspector

Troubleshooting

Roadmap

Contributing

License

Resources

Latest Blog Posts

MCP directory API

`search_and_scrape` (Recommended for research)

`google_search`

`google_image_search`

`google_news_search`

`scrape_page`

`sequential_search`

`academic_search`

`patent_search`