Google Researcher MCP Server

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.

---

Table of Contents

• For AI Assistants (LLMs)
• Available Tools
• Features
• System Architecture
• Getting Started
  • Prerequisites
  • Installation & Setup
  • Running the Server
  • Running with Docker
• Usage
  • Choosing a Transport
  • Client Integration
  • Management API
• Security
  • OAuth 2.1 Authorization
  • Available Scopes
• MCP Resources
• MCP Prompts
• Testing
• Development Tools
  • MCP Inspector
• Troubleshooting
• Roadmap
• Contributing
• License

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

1. Clone the Repository:

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

2. Install Dependencies:

   npm install
   npx playwright install chromium
   

3. 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 technical-deep-dive: 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.