Ubersuggest MCP Server
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| ubersuggest_domain_overviewC | Get comprehensive domain analysis including traffic and ranking data |
| ubersuggest_keyword_researchC | Research keywords with volume, difficulty, and competition data |
| ubersuggest_site_auditC | Perform comprehensive site audit for technical SEO issues |
| ubersuggest_traffic_estimationC | Estimate organic traffic potential for a domain |
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 4 tools
Each tool has a clearly distinct purpose targeting different aspects of SEO analysis: domain overview for general metrics, keyword research for search terms, site audit for technical issues, and traffic estimation for organic potential. There is no overlap in functionality, making tool selection straightforward for an agent.
All tool names follow a consistent 'ubersuggest_verb_noun' pattern (e.g., ubersuggest_domain_overview, ubersuggest_keyword_research). This uniformity in naming conventions makes the tool set predictable and easy to navigate.
With 4 tools, the server is well-scoped for its SEO analysis purpose, covering key areas like domain metrics, keyword research, site audits, and traffic estimation. Each tool earns its place without feeling excessive or insufficient for the domain.
The tool set provides strong coverage for core SEO analysis tasks, including data retrieval and audits. A minor gap might be the lack of tools for ongoing monitoring or reporting, but agents can work around this with the existing tools for most workflows.