Vinkius
The Guardian

The Guardian MCP for AI. Query decades of news archives directly with your AI agent.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
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…and any MCP-compatible client

The Guardian MCP on Cursor AI Code EditorThe Guardian MCP on Claude Desktop AppThe Guardian MCP on OpenAI Agents SDKThe Guardian MCP on Visual Studio CodeThe Guardian MCP on GitHub Copilot AI AgentThe Guardian MCP on Google Gemini AIThe Guardian MCP on Lovable AI DevelopmentThe Guardian MCP on Mistral AI AgentsThe Guardian MCP on Amazon AWS Bedrock

Connect to your AI in seconds.

The Guardian MCP Server gives your AI agent structured access to The Guardian's entire content archive. It lets you run full-text queries across decades of reporting, filter by section or tag, and retrieve the full metadata for any article—all via natural conversation.

Stop browsing; start querying.

What your AI can do

Get item

Fetches the complete body, byline, and metadata for one specific Guardian article.

Get latest content

Retrieves a list of articles ordered from most recent to oldest.

Get section details

Gets editorial highlights and the most-viewed content for any given section.

+ 7 more capabilities included
Deep Content Retrieval

The server pulls the full text and metadata for any specific article by providing its identifier.

Structured Search Queries

You can run advanced searches across the archive, filtering results simultaneously by section name, keyword tag, or precise date range.

Content Discovery and Taxonomy Mapping

The system lists all available editorial sections and tags. This lets your agent map out the full scope of content coverage (e.g., listing every contributor or topic area).

Regional Content Scope

You can query articles across multiple regional editions, including UK, US, Australia, and International feeds.

Included with Plan

Waiting for input…

AI Agent

The Guardian MCP Server: 10 Tools for Content Archives

These tools let your agent access specific functions: from listing all available sections to running deep searches across regional content.

Make your AI actually useful.

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Start using The Guardian on Vinkius

Get Item

Fetches the complete body, byline, and metadata for one specific Guardian article.

Get Latest Content

Retrieves a list of articles ordered from most recent to oldest.

Get Section Details

Gets editorial highlights and the most-viewed content for any given section.

List Editions

Lists all available regional versions of The Guardian (e.g., US, UK, Australia).

List Sections

Lists every major editorial section available on the platform, like 'Technology' or...

List Tags

Provides a list of all content tags used by The Guardian (e.g., keyword, contributor, tone).

Search By Date Range

Searches the entire archive for articles published within user-specified start and end dates.

Search By Section

Browses content filtered specifically to a chosen editorial section, supporting...

Search By Tag

Filters and searches the archive using specific keywords or contributor tags.

Search Content

Runs a powerful search across all criteria: section, tag, date range, ordering, and...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The The Guardian integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

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Start building

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Start with The Guardian, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,100+ others, all in one place
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The Guardian MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by The Guardian. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Sifting through news archives manually wastes hours of your time.

Today, if you need to know what The Guardian covered on a topic three years ago, you usually fall into the trap of searching Google News. You get hundreds of links—snippets, headlines, and dates—but accessing the full context means clicking through 20 tabs, copy-pasting URLs, and manually verifying the byline for each piece.

With this MCP server, your agent handles that entire process in one step. You give it a date range and a topic; it returns structured data: article title, full body text, editor metadata—all ready to be processed.

The Guardian MCP Server lets you find content by its structure.

You don't have to guess where the right information lives. Instead of just searching a keyword, you can first run `list_sections` to see if 'Opinion' or 'Business' is the right bucket. Then you use that structural knowledge with `search_by_section`, narrowing your focus immediately.

The key difference is control. You move from guessing what content exists to explicitly asking for data based on known categories, dates, and tags. It’s surgical precision.

What your AI can actually do with this

The Guardian MCP Server gives your AI agent deep access to decades of reporting across The Guardian’s entire content archive. You're not just browsing; you're running full-text queries against a massive, structured database of journalism. This server lets your agent pull everything—from the raw body text and byline details for any specific article to mapping out every contributor and topic area they’ve ever covered.

You can start by figuring out the scope. If you want to know what content exists, you'll first use list_sections to grab a list of all major editorial categories—things like 'Technology,' 'Sport,' or 'Politics.' You'd then run list_tags to pull every single keyword or contributor tag they’ve used over the years.

To map out the entire scope, you can also call list_editions, which lists regional versions of The Guardian, so you know if you need US data, UK data, or Australian feeds.

When you're ready to search, you get powerful filtering options. If you only care about one area, calling search_by_section lets your agent browse content strictly filtered by a chosen category, and it handles pagination for you. You can narrow the focus even more using search_by_tag, which filters results based on specific keywords or named contributors.

For ultimate control, you've got search_content. This tool runs across every possible criteria at once: section name, keyword tag, start and end date range, ordering preference, and pagination. You don't have to run three separate searches; this one query does it all.

If your search is time-bound, you can use search_by_date_range to pull articles published between specific dates you provide. Or, if you know the exact section and the date range, you've got multiple ways to combine those filters for super precise results.

Once a query returns a list of promising article IDs, getting the full details is easy. You use get_item to fetch the complete body text, the byline, and all the necessary metadata for one single article ID. If you just want a snapshot of what’s hot right now, calling get_latest_content returns a list ordered from most recent straight back.

To find out about featured content within any given category, you can check get_section_details, which pulls the editorial highlights and most-viewed pieces for that specific section. It’s all structured so your AI agent gets clean data it can work with immediately.

Built · Hosted · Managed by Vinkius The Guardian MCP Server - News Archive Data Retrieval
Server ID 019d75ac-4498-72b9-9608-48946f62c31a
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Questions you might have

Can I retrieve the full text of a Guardian article, not just the headline? +

Yes. Use the get_item tool with the article's path ID. The response includes the full body text, byline, standfirst, publication date, section, tags, and thumbnail image when available.

How far back does the Guardian Content API archive go? +

The Guardian Content API provides access to articles dating back to 1999. You can use search_by_date_range with specific start and end dates to query historical content from any period covered by the archive.

Is a paid subscription required to use this integration? +

No. The Guardian Open Platform offers a free developer API key that supports up to 12 calls per second and 5,000 calls per day. This is sufficient for most research and automation workflows.

Can I filter articles by topic, section, or contributor? +

Yes. The search_content tool accepts section, tag, and date filters. Use list_sections to discover available sections and list_tags to find keywords, contributors, and series to refine your queries.

When I use the `get_item` tool, what metadata fields are returned with the full article text? +

You get the complete body text along with critical context: the byline, publication date, and specific editorial metadata. This structured data lets your agent build knowledge graphs or index content without needing extra calls.

What happens if I run too many searches using `search_content` in a short time? +

The system adheres to The Guardian Open Platform's rate limits. If you hit the quota, you will receive an HTTP 429 error code. Your agent must implement an exponential backoff retry mechanism to continue running.

How do I authenticate my client when using `search_by_section`? +

Authentication is handled via your registered API key, which you provide during the initial setup phase. Your AI client routes this credential through Vinkius so the tool can execute the query on your behalf.

If I use `list_tags` and get no results for a specific keyword, does that mean there is no content? +

No. An empty tag list means that The Guardian's archive currently has no articles matching that exact filter. You should try broadening the query or using the general search_content tool instead.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for The Guardian. Just plug in your AI agents and start using Vinkius.

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All 10 tools are live and waiting. You're up and running in seconds.

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