Integrates keyword research, domain performance metrics, and competitive SEO analysis into automated workflows via the Haloscan API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Haloscan MCP ServerGive me an SEO overview for the keyword 'sustainable fashion'."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Haloscan MCP Server
A Model Context Protocol (MCP) server for interacting with the Haloscan SEO API.
This server allows easy integration with Claude for Desktop, N8N, and other MCP-compatible clients.
Features
Exposes Haloscan SEO API functionality through MCP tools
Provides prompts for common SEO tasks
Easy integration with workflow automation tools like N8N
Related MCP server: Atlassian Confluence MCP Server
Tools
1. User Tools
get_user_credit
Retrieves the remaining credit for the user identified by the provided API key.
2. Keyword Explorer Tools
get_keywords_overview
Retrieves an overview of a specific keyword, providing key performance indicators such as search volume, competition level, and trends over time.
Inputs:
keyword(string): Requested keyword.requested_data(string[]): Any combination of [keyword_match, related_search, related_question, similar_category, similar_serp, top_sites, similar_highlight, categories, synonyms, metrics, volume_history, serp ].
get_keywords_match
Retrieves keyword data based on an exact match search, providing detailed insights into how the specific keyword performs in search engines.
Input:
keyword(string): Requested keyword.
get_keywords_similar
Retrieves the list of keywords that are semantically or topically similar to a given keyword.
Input:
keyword(string): Requested keyword.
get_keywords_highlights
Retrieves the key performance highlights from a given keyword.
Input:
keyword(string): Requested keyword.
get_keywords_related
Retrieves the list of keywords that are contextually or topically related to a given keyword.
Input:
keyword(string): Requested keyword.
get_keywords_questions
Retrieves a list of question-based keywords related to a given keyword.
Input:
keyword(string): Requested keyword.
get_keywords_synonyms
Retrieves a list of synonyms related to a given keyword.
Input:
keyword(string): Requested keyword.
get_keywords_find
Retrieves comprehensive data for a given keyword or list of keywords, including search volume, competition, and trend analysis.
Inputs:
keyword(string): Requested keyword.keywords(string[]): Requested keywords.keywords_sources(string[]): Which strategies to use to find keywords from input (Any combination of [match, serp, related, highlights, categories, questions]).
get_keywords_site_structure
Retrieves the site structure data for a given domain, including the keywords associated with the site's pages, hierarchical organization, and relevant metadata for SEO optimization.
Input:
keyword(string): Requested keyword.
get_keywords_serp_compare
Retrieves a comparison of search engine results pages (SERP) for two or more keywords, providing insights into how they perform in search rankings.
Inputs:
keyword(string): Requested keyword.period(string): The comparison period for SERPs (1 month, 3 months, 6 months, 12 months, custom).
get_keywords_serp_availableDates
Retrieves the available dates for historical SERP data of a given keyword at a given period.
Input:
keyword(string): Requested keyword.
get_keywords_serp_pageEvolution
Retrieves the evolution of SERP rankings for a specific keyword over time, showing how a page's position in search results has changed.
Inputs:
keyword(string): Requested keyword.first_date(string): Date in YYYY-MM-DD format.second_date(string): Date in YYYY-MM-DD format.url(string)
get_keywords_bulk
Retrieves keyword data for multiple keywords at once in a bulk request.
Input:
keywords(string[]): Array containing the requested keywords.
get_keywords_scrap
Retrieves keyword data by scraping the search engine results pages (SERP) for a given keyword.
Input:
keywords(string[]): Array containing the requested keywords.
3. Site Explorer Tools
get_domains_overview
Retrieves a comprehensive SEO performance summary for a specific domain.
Inputs:
input(string): Requested url, domain or root domain.requested_data(string[]): Requested data for the given url or domain, corresponding to the content of different sections of the haloscan overview page.
get_domains_positions
Retrieves the search engine ranking positions of a specified domain for one or more keywords.
Input:
input(string): Requested url, domain or root domain.
get_domains_top_pages
Retrieves the top-performing pages of a specified domain based on organic search metrics such as traffic, number of ranking keywords, and visibility.
Input:
input(string): Requested url, domain or root domain.
get_domains_history_positions
Retrieves historical ranking positions for a specific domain across selected keywords.
Inputs:
input(string): Requested url or domain.date_from(string): Date in YYYY-MM-DD format.date_to(string): Date in YYYY-MM-DD format.
get_domains_history_pages
Retrieves historical SEO performance data for the top pages of a specified domain.
Inputs:
input(string): Requested url or domain.date_from(string): Date in YYYY-MM-DD format.date_to(string): Date in YYYY-MM-DD format.
get_page_best_keywords
Retrieves the top-performing keywords for a specific URL, showing which search queries drive the most traffic and visibility to that page.
Input:
input(string[]): Requested urls.
get_domains_keywords
Retrieves all the keywords a domain ranks for in organic search results, along with their associated metrics such as ranking position, traffic, and search volume.
Inputs:
input(string): Requested url or domain.keywords(string[]): Array containing the requested keywords.
get_domains_bulk
Retrieves SEO performance metrics for multiple domains in a single request.
Input:
inputs(string[]): Array containing the requested urls or domains.
get_domains_competitors
Retrieves a list of organic search competitors for a given domain based on overlapping keywords.
Input:
input(string): Requested url or domain.
get_domains_competitors_keywords_diff
Compares the keyword differences between a given domain and its competitors, highlighting keywords that one domain ranks for but the other does not.
Inputs:
input(string): Requested url or domain.competitors(string[]): List of competitors to compare the input to.
get_domains_competitors_best_pages
Retrieves the best-performing pages of competitors for a given domain.
Inputs:
input(string): Requested url or domain.competitors(string[]): List of competitors to compare the input to.
get_domains_competitors_keywords_best_positions
Retrieves the best-ranking keywords for a given domain compared to its competitors.
Inputs:
competitors(string[]): List of competitor domains or root domains.keywords(string[]): List of keywords to look for.
get_domains_visibility_trends
Retrieves the visibility trend for a specific domain over time, showing how its search engine visibility has evolved.
Input:
input(string[]): Array containing the requested urls or domains.
get_domains_expired
Retrieves the visibility trend for a specific domain over time, showing how its search engine visibility has evolved.
Configuration
Sign up for an Haloscan account.
Choose a plan.
Generate your API key from Configuration API page.
Use the API key for the Haloscan server in the Claude Desktop configuration file.
Usage with Claude Desktop
Add this server to your Claude Desktop configuration file claude_desktop_config.json:
NPX
License
MIT