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Teake1404

seo-data-api-mcp-server

by Teake1404

Similar Keywords

keywordsSimilar

Find similar keywords for a seed keyword using SE Ranking data. Filter by volume, difficulty, and competition for targeted SEO research.

Instructions

Fetch similar keywords from SE Ranking Data API (v1/keywords/similar)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceYesAlpha-2 country code of the regional keyword database.
keywordYesThe seed keyword for which to find similar keywords.
limitNoMaximum number of keywords to return per page.
offsetNoStarting offset for pagination.
sortNoThe field by which the returned list of keywords should be sorted.
sort_orderNoThe order of sorting for the sort field.desc
history_trendNoWhether to include historical search volume trend data in the response.
filter[volume][from]NoMinimum monthly search volume.
filter[volume][to]NoMaximum monthly search volume.
filter[difficulty][from]NoMinimum keyword difficulty score (0-100).
filter[difficulty][to]NoMaximum keyword difficulty score (0-100).
filter[cpc][from]NoMinimum Cost Per Click.
filter[cpc][to]NoMaximum Cost Per Click.
filter[competition][from]NoMinimum competition score (0.0-1.0).
filter[competition][to]NoMaximum competition score (0.0-1.0).
filter[keyword_count][from]NoMinimum number of words in the keyword.
filter[keyword_count][to]NoMaximum number of words in the keyword.
filter[characters_count][from]NoMinimum character length of the keyword.
filter[characters_count][to]NoMaximum character length of the keyword.
filter[serp_features]NoComma-separated list of SERP features to filter by.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says the tool fetches data from the SE Ranking API; it does not mention authentication, rate limits, read-only confirmation, pagination behavior, or response characteristics. This adds little beyond the tool's name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no filler and the core action is front-loaded. It is appropriately concise, though the brevity contributes to the lack of depth in other dimensions.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 20 parameters, no output schema, and no annotations, this one-sentence description is insufficient. It does not explain return format, pagination, filter behavior, or how this tool relates to its siblings, leaving significant gaps for an agent to navigate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all 20 parameters. The description adds no parameter-level semantics beyond identifying the endpoint, which is consistent with the baseline of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Fetch'), a precise resource ('similar keywords') and the API endpoint path ('v1/keywords/similar'), making the core purpose clear. However, it does not explicitly differentiate this from the sibling 'keywordsRelated', so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus siblings such as keywordsRelated, keywordsLongtail, or keywordsQuestions. There is no context, prerequisite, or exclusion criteria, leaving the agent to infer usage only from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.