Clearscope MCP. Audit your SEO and grade any draft instantly.
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Just plug in your AI agents and start using Vinkius.
Clearscope helps you analyze content performance and improve search rankings directly from your AI agent. It grades drafts using advanced Natural Language Processing (NLP), runs deep keyword research, audits competitor websites, and generates structural outlines for articles that actually rank on Google.
What your AI agents can do
Create report
Runs an asynchronous process that parses the SERP results for a specific keyword to create a full audit report.
Get brief
Generates a structural content brief based on instructions you provide, resolving writing boundaries into actionable topics.
Get keyword research
Calculates theoretical Google traffic limits and competitiveness scores for any given keyword.
Generates full audit reports on topical authority and search performance for defined keywords.
Applies advanced NLP scoring to your text, telling you exactly what terms or structures are missing to hit a high grade.
Identifies potential search volume and competitiveness metrics for target keywords.
Analyzes top-ranking results to pull out their main headings, structural outlines, and key topics.
Creates complete article briefs that specify target word counts and required semantic topic clusters.
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Supported MCP Clients
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Clearscope: 10 SEO Analysis Tools
These tools let your agent perform everything from keyword viability checks to deep SERP analysis, giving you total control over content discoverability.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Clearscope on Vinkius019d7571create report
Runs an asynchronous process that parses the SERP results for a specific keyword to create a full audit report.
019d7571get brief
Generates a structural content brief based on instructions you provide, resolving writing boundaries into actionable topics.
019d7571get keyword research
Calculates theoretical Google traffic limits and competitiveness scores for any given keyword.
019d7571get outline
Extracts the necessary structural arrays to define a complete, nested content hierarchy for an article.
019d7571get report details
Retrieves specific property details from existing SEO reports, allowing you to check on progress or narrow down findings.
019d7571grade content
Compares your provided text against mapped NLP bounds and returns a precise SEO grade with suggestions for improvement.
019d7571list competitors
Identifies active links from top search results to track competing websites in the SERP.
019d7571list reports
Lists all existing, high-level Clearscope reports available for management and viewing.
019d7571list terms
Retrieves specific NLP variables that organize and define term frequencies relevant to your niche.
019d7571list workspaces
Shows the root identities of different organizational workspaces, helping you isolate content projects.
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.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Clearscope, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Clearscope. 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 server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Content Strategy Black Hole
Today, building good content is a messy process. You find a keyword idea in one tab, then you copy that into a separate SEO tool just to see the competition outline. Then you jump to another site to grade your draft using an NLP checker. It's endless clicking and constant context switching. The sheer volume of tabs required for one article audit is exhausting.
With this MCP, all those steps collapse into a single conversation. You tell your agent what you need—say, the structural outline for 'AI product documentation.' Instead of manually gathering data points, the agent uses tools like `get_outline` and `list_terms` to instantly build a complete content blueprint that tells you exactly what sections to write.
Getting SEO Scores with `grade_content`
Manual grading means you rely on guesswork or old benchmarks. You might spend hours checking if a draft includes enough supporting keywords, only to find out later that the top search results use different terminology.
The agent runs `grade_content`, comparing your text against current SEO rules and real-world data. It doesn't just give you a letter grade; it tells you precisely which terms are missing or underrepresented, giving you an immediate path to A++ status.
What you can do with this MCP connector
This MCP connects your existing Clearscope account to any compatible AI client, giving you full control over how discoverable your content is. Instead of spending hours in dashboards running manual reports, you talk to your agent like normal and it handles the heavy lifting—auditing your topical authority or checking a competitor's structure.
The system creates a cryptographically signed audit trail for every tool call, so you always know exactly what data flowed through and where the analysis came from. This means when you build complex content strategies using multiple MCPs in Vinkius, you get reliable data provenance every time. You simply connect your credentials once; then your agent can start optimizing your site’s SEO strategy without you having to worry about managing API keys or tracking manual steps.
019d7571-8e11-72e2-957e-a0ce3eb998fe 
How Clearscope MCP Works
- 1 Subscribe to this MCP and enter your Clearscope API key (requires a Business or Enterprise plan).
- 2 Connect the service credentials through any compatible AI client.
- 3 Tell your agent what you need—for example, 'grade this draft'—and the system runs the analysis immediately.
The bottom line is that your AI agent handles all the complex data fetching and scoring in the background; you just talk to it.
Who Is Clearscope MCP For?
This MCP is for content marketers, SEO specialists, and technical editors who are tired of copying keyword lists into separate tools or clicking through five different dashboards just to grade one article. It puts the entire search optimization workflow right in your chat window.
Uses this MCP to perform deep competitor gap analysis and run detailed reports on topical authority from a single conversational prompt.
Rely on it to generate content briefs and outlines, ensuring every new article is built around proven search topics before writing a word.
Uses it to grade drafts against real-time SEO standards, identifying missing key phrases or structural elements needed for better ranking.
What Changes When You Connect
- Stop guessing if your copy is good enough. Use
grade_contentto get a precise SEO score and actionable feedback on missing terms, making sure every piece of content hits the mark before publishing. - Don't waste time manually checking competition. Running
list_competitorspulls out active links from top search results, letting you see exactly what rivals are ranking for right in your chat window. - Need to build an article but don't know where to start? Use
get_outlineto instantly generate a structural blueprint and target word count, ensuring all necessary sections are included. - Planning a content push requires knowing the traffic potential. Run
get_keyword_researchto identify viability metrics for keywords before dedicating time to writing them. - Manage your entire SEO strategy without leaving your chat interface. You can use
list_reportsandcreate_reportto manage, generate, and view all necessary content audits in one flow.
Real-World Use Cases
A new article needs a structural backbone.
The editor asks the agent to run get_outline for 'best remote work tools.' The agent returns a full H2/H3 structure, identifying key sections like 'time zone management' and 'asynchronous communication,' which the writer then uses as their mandatory content brief.
The client wants to check competitor topics.
An SEO specialist uses list_competitors on a target keyword. The agent pulls out not just the links, but the common themes and sub-topics across the top three results, giving immediate insight into content gaps.
Grading existing documentation.
A product team needs to update its documentation for a new feature. They feed their draft text into grade_content and receive an A- score with specific advice to include related terms like 'user flow' and 'API integration,' making the content ready to publish.
Auditing large topic clusters.
The marketing manager uses create_report for a broad term like 'sustainable energy.' The agent processes the SERP, providing a comprehensive report on topical authority, helping the team know exactly which adjacent topics they need to cover next.
The Tradeoffs
Using simple keyword lists.
Just dumping 50 random keywords into your agent and expecting a report. The results are usually too broad or lack context.
→
Instead, use get_keyword_research first to filter those keywords by viability metrics. Then, feed the best ones into create_report for a deep audit that provides actionable insights.
Trying to manually check competitor sites.
Having to click through 30 different search results and copy-pasting headings from each one into a spreadsheet. This is slow and error-prone.
→
Just run list_competitors. The agent handles the extraction, pulling out key structural elements from multiple top sites automatically.
Writing without a plan.
Starting an article with a general idea but lacking specific required topics or word counts. This leads to fluff and low search ranking potential.
→
Always start by generating a content brief using get_brief so you have mandatory structural guidance before writing the first paragraph.
When It Fits, When It Doesn't
Use this MCP if your goal involves proving discoverability or technical fitness. If you are comparing articles against live search results, grading copy for SEO compliance, or building a content cluster around high-value keywords, this is your tool. Don't use it if your only job is simple proofreading or making basic style changes; those tasks don't require SERP data. Instead, use general grammar checkers or dedicated writing tools for those jobs. If you just need to manage multiple projects in a specific silo, start by running list_workspaces to see what containers are available before committing to an audit.
Common Questions About Clearscope MCP
How do I check competitor outlines using the `list_competitors` tool? +
You tell the agent the target keyword and ask it to list competitors. The service then pulls out structural data, showing you common headings and key topics used by top-ranking sites so you know what structure to copy.
Does `get_keyword_research` just give me traffic numbers? +
No, it calculates theoretical Google traffic limits alongside competitiveness scores. This helps you decide if a keyword is worth the effort before you spend time writing content for it.
What's the difference between `get_brief` and `get_outline`? +
get_outline extracts the raw structure (H2/H3) from existing successful articles. In contrast, get_brief generates a comprehensive content brief based on your instructions, telling you what topics need to be covered in general.
How do I start an audit and create reports with `create_report`? +
You ask the agent to run create_report for a specific keyword. The MCP initiates an async parsing process, which scrapes the SERP data and provides you with a comprehensive, auditable report ID once it's finished.
How do I manage my content projects across different folders using `list_workspaces`? +
It retrieves a list of root identity mappings, allowing you to switch between organizational containers. This lets you isolate content work so one project's data doesn't mix with another team's reports.
If I want to check the details of an existing audit using `get_report_details`, what information do I need? +
You must provide a unique report ID. This function then pulls structural properties that drive active NLP scoring, letting you see exactly what metrics were calculated.
What happens if my request for keyword analysis using `get_keyword_research` fails? +
The system returns a specific error code and context. This helps troubleshoot issues related to theoretical Google traffic limits or malformed input parameters you provided.
Can I see all the available topic areas before generating an outline using `get_outline`? +
Yes, you can list existing structural string arrays. This shows you the full hierarchy of nested content types and helps guide your prompt for a comprehensive brief.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.