content-optimizer-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| score_contentA | Score content against a keyword across 7 SEO categories. Returns an overall score (0-100), per-category breakdowns, and actionable recommendations. |
| analyze_keywordA | Analyze SERP data for a keyword. Returns simulated top 10 results with word counts, heading counts, common topics, and SERP features. |
| get_content_recommendationsB | Get a prioritized list of specific improvements to optimize content for a target keyword. |
| check_readabilityA | Analyze content readability. Returns Flesch-Kincaid score, grade level, sentence stats, and reading time. |
| find_missing_topicsA | Find topics from SERP competitors that are missing in your content. Returns covered topics, missing topics, and coverage percentage. |
| optimize_headingsA | Analyze heading structure and suggest improvements. Returns current headings, issues, and recommended heading outline. |
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 6 tools
Each tool has a clear, unique purpose: keyword analysis, readability, topic gaps, recommendations, headings, and scoring. No overlap or ambiguity.
All tools follow a consistent verb_noun pattern (e.g., analyze_keyword, check_readability, score_content), making them predictable and easy for an agent to understand.
With 6 tools, the set is well-scoped for content optimization—covering analysis, readability, gaps, recommendations, headings, and scoring without being too sparse or excessive.
The tool surface covers key content optimization workflows: keyword analysis, readability, competitor gap analysis, recommendations, heading optimization, and scoring. No obvious gaps for the stated purpose.