armavita-originality-ai-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ORIGINALITY_API_KEY | Yes | Originality.ai API key used for all API requests. |
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| scan_aiA | Detect AI-generated content using Originality.ai. Returns an overall AI vs. Original percentage and a sentence-by-sentence breakdown with confidence scores. Use this after writing content to check AI detection scores before publishing. Costs ~1 credit per 100 words. |
| scan_fullA | Run a comprehensive content audit: AI detection + plagiarism + readability + grammar/spelling + fact-checking. Returns all scores in one call. Plagiarism checks can take up to 60 seconds. Use for pre-publish content audits. Costs credits for each enabled check. |
| scan_plagiarismA | Check content for plagiarism only — no AI detection, readability, or grammar. Returns an overall plagiarism percentage and matched sources with URLs. Plagiarism checks can take up to 60 seconds. Use to verify content originality before publishing. Cheaper than scan_full since only plagiarism credits are used. |
| scan_readabilityA | Analyze content readability and grammar only — no AI detection or plagiarism. Returns Flesch Reading Ease, grade level, sentence difficulty breakdown, and grammar/spelling errors with corrections. Fast and cheap. Use to check if content meets the 8th-9th grade reading level target. |
| scan_seoB | Run SEO content optimization analysis for a target keyword. Returns keyword seed recommendations with min/max/current density targets. Combine with AI detection and readability for a full content quality check. Currently supports United States only. |
| scan_urlA | Scan a published URL for AI content, plagiarism, readability, and grammar. Originality.ai fetches and extracts the page content automatically. Use to audit competitor content or verify published articles. |
| get_scan_resultsA | Retrieve previously stored scan results by scan ID. Use this to fetch full results for scans that were stored (storeScan=true), or to check on scans that may have been processing when originally submitted. |
| credit_balanceA | Check your Originality.ai credit balance. Returns remaining credits available for scanning. Use before batch operations to verify you have enough credits. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 8 tools
Most tools have distinct purposes, such as credit_balance for account checks, get_scan_results for retrieval, and various scan_* tools for different content analyses (AI, plagiarism, readability, SEO, URL). However, scan_full overlaps with other scans by combining multiple checks, which could cause confusion when an agent needs a specific analysis like plagiarism alone versus the comprehensive option.
All tool names follow a consistent snake_case pattern with clear verb_noun structures, such as credit_balance, get_scan_results, and scan_ai. The naming is predictable and readable, making it easy for agents to understand the action and target at a glance.
With 8 tools, the server is well-scoped for content analysis and auditing, covering essential operations like balance checks, result retrieval, and various scanning types. Each tool serves a clear purpose without being overly broad or thin, fitting the domain effectively.
The tool set provides comprehensive coverage for content auditing, including AI detection, plagiarism, readability, SEO, and URL scanning, plus account management with credit_balance and result retrieval. A minor gap is the lack of a tool for managing scans (e.g., deleting or listing stored results), but agents can work around this with the existing tools.