SEO Dataforseo
AgriciDaniel/codex-seo
Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.
Keyword research from a seed topic — ideas, real Google volume/CPC, intent, difficulty, clustered into a plan.
Install Keyword Research
$ npx skills add Ryze-AI-Adgent/open-seo-mcp-skills --skill keyword-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Ryze-AI-Adgent/open-seo-mcp-skills keyword-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/keyword-research .claude/skills/keyword-research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "keyword-research" agent skill from https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills/tree/main/skills/keyword-research into .claude/skills/keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills/tree/main/skills/keyword-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Ryze-AI-Adgent/open-seo-mcp-skills --skill keyword-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Ryze-AI-Adgent/open-seo-mcp-skills keyword-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/keyword-research .agents/skills/keyword-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "keyword-research" agent skill from https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills/tree/main/skills/keyword-research into .agents/skills/keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Ryze-AI-Adgent/open-seo-mcp-skills --skill keyword-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Ryze-AI-Adgent/open-seo-mcp-skills keyword-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/keyword-research .cursor/skills/keyword-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "keyword-research" agent skill from https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills/tree/main/skills/keyword-research into .cursor/skills/keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills.git --path skills/keyword-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Ryze-AI-Adgent/open-seo-mcp-skills --skill keyword-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Ryze-AI-Adgent/open-seo-mcp-skills keyword-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/keyword-research .gemini/skills/keyword-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "keyword-research" agent skill from https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills/tree/main/skills/keyword-research into .gemini/skills/keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Ryze-AI-Adgent/open-seo-mcp-skills keyword-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Ryze-AI-Adgent/open-seo-mcp-skills --skill keyword-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/keyword-research .github/skills/keyword-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "keyword-research" agent skill from https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills/tree/main/skills/keyword-research into .github/skills/keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Ryze-AI-Adgent/open-seo-mcp-skills --skill keyword-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Ryze-AI-Adgent/open-seo-mcp-skills keyword-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/keyword-research .opencode/skills/keyword-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "keyword-research" agent skill from https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills/tree/main/skills/keyword-research into .opencode/skills/keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
keyword-research- GitHub stars
- 4.7k
- Token cost
- ~581 tokens
- SKILL.md length
- 262 words
- Files
- 1
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- MIT
At a glance
Keyword research from a seed topic — ideas, real Google volume/CPC, intent, difficulty, clustered into a plan.
- Works in 5 steps: Expand the seed.… → Metrics.… → Intent + difficulty (optional enrich).… → …
- Asked to find keywords
- SKILL.md covers Requires, Workflow, Output and Rules
- Calls claude; reaches connector.get-ryze.ai
What it does
Keyword Research is an agent skill from Ryze-AI-Adgent/open-seo-mcp-skills. Keyword research from a seed topic — ideas, real Google volume/CPC, intent, difficulty, clustered into a plan. Use when asked to "find keywords", "keyword research for X", "what should I rank for", or "build a keyword plan".
Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Keyword research and AI search optimization. It works with Model Context Protocol and Google Ads. The repository describes itself as: Free SEO MCP server + open-source SEO and GEO skills for Claude: keyword research, rank tracking, audits, backlinks, AI visibility on your real GSC/GA4/ads data. claude mcp add…. The licence is MIT.
When your agent uses it
- Asked to find keywords
- Keyword research for X
- What should I rank for
- Build a keyword plan
Example prompts
- “find keywords”
- “keyword research for X”
- “what should I rank for”
- “/keyword-research”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Expand the seed. google_ads__generateKeywordIdeas with the seed keyword(s) and/or the user's URL. Collect up to ~200 ideas.
- Metrics. google_ads__generateKeywordHistoricalMetrics on the candidate list — monthly volume, competition, CPC range, 12-month trend.
- Intent + difficulty (optional enrich). If the workspace exposes DataForSEO tools, call the Labs keyword_overview endpoint for the top ~50…
- What they already rank for. google_search_console__runRawSearchAnalytics (dimension query, filtered to the topic) — mark keywords the site…
- Cluster. Group by intent and topic into content clusters: pillar + supporting pages. For each cluster: target keyword, supporting…
What it can do on your machine
Read from SKILL.md and the folder at commit 81ac50e. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
claude
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
connector.get-ryze.ai
Also links to:
get-ryze.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Keyword Research loads about 581 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 262 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Ryze-AI-Adgent/open-seo-mcp-skills at commit 81ac50e, republished under its MIT licence (© Ryze-AI-Adgent). 262 words, ~581 tokens.
Download SKILL.mdSave it as
.claude/skills/keyword-research/SKILL.md (or your agent's skills folder).- name
- keyword-research
- description
- Keyword research from a seed topic — ideas, real Google volume/CPC, intent, difficulty, clustered into a plan. Use when asked to "find keywords", "keyword research for X", "what should I rank for", or "build a keyword plan".
Keyword Research
Requires
The free Ryze MCP connector (https://connector.get-ryze.ai/mcp). Claude Code: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp. claude.ai / Desktop / Cursor: add it as a custom connector with the same URL. Setup: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp
Seed → ideas → metrics → clusters. Volumes come from Google Ads planner data (the source everyone else resells), enriched with DataForSEO intent/difficulty.
Workflow
- Expand the seed.
google_ads__generateKeywordIdeaswith the seed keyword(s) and/or the user's URL. Collect up to ~200 ideas. - Metrics.
google_ads__generateKeywordHistoricalMetricson the candidate list — monthly volume, competition, CPC range, 12-month trend. - Intent + difficulty (optional enrich). If the workspace exposes DataForSEO tools, call the Labs
keyword_overviewendpoint for the top ~50 (search intent, keyword difficulty, SERP features). Request shape:native__get_provider_docsproviderdataforseo. Skip silently if unavailable — Google metrics alone are enough for a v1 plan. - What they already rank for.
google_search_console__runRawSearchAnalytics(dimensionquery, filtered to the topic) — mark keywords the site already has positions for; those are optimize-not-create. - Cluster. Group by intent and topic into content clusters: pillar + supporting pages. For each cluster: target keyword, supporting keywords, total volume, intent, existing page (if any) or "new page".
Output
One table per cluster (keyword, volume, CPC, intent, current position if any), then a ranked plan: which clusters to attack first and why (volume × winnability — favor clusters where the site already has striking-distance positions). Plain language, no filler.
Rules
- Never invent volumes. If a metrics call fails, show the keyword without numbers and say why.
- CPC belongs in the output — it tells the user what the traffic is worth, and this doubles as an ads negative-keyword source.
© Ryze-AI-Adgent, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/keyword-research of Ryze-AI-Adgent/open-seo-mcp-skills.
Open the folder on GitHubat commit 81ac50e
Compare with similar skills
Keyword Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Keyword Research this skillRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~581 | Automated safety check: Pass | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| DataForSEO Live SEO DataAgriciDaniel/claude-seo | 19k | — | ~4.4k | Automated safety check: Pass | MIT | |
| SEONexus-JPF/note-companion | 870 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Localseodata Toolgarrettjsmith/localseoskills | 121 | — | ~4.1k | Automated safety check: Pass | MIT | |
| SEO Dataforseohashgraph-online/awesome-codex-plugins | 1.3k | — | ~4.5k | Automated safety check: Notes | MIT |
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Related
Works with
Categories
Questions about Keyword Research
What does Keyword Research do?
Keyword research from a seed topic — ideas, real Google volume/CPC, intent, difficulty, clustered into a plan. Keyword Research is an agent skill from Ryze-AI-Adgent/open-seo-mcp-skills. Keyword research from a seed topic — ideas, real Google volume/CPC, intent, difficulty, clustered into a plan.
When should I use Keyword Research?
Keyword Research fits situations like: asked to find keywords; keyword research for X; what should I rank for; build a keyword plan.
How do I install Keyword Research in Claude Code?
Run `npx skills add Ryze-AI-Adgent/open-seo-mcp-skills --skill keyword-research -a claude-code`. Or copy the skill folder (skills/keyword-research in Ryze-AI-Adgent/open-seo-mcp-skills) into .claude/skills/keyword-research in your project. Claude Code loads it when a task matches its description.
How do I install Keyword Research in Codex?
Run `npx skills add Ryze-AI-Adgent/open-seo-mcp-skills --skill keyword-research -a codex`. Or copy the skill folder (skills/keyword-research in Ryze-AI-Adgent/open-seo-mcp-skills) into .agents/skills/keyword-research in your project. Codex loads it when a task matches its description.
Can I use Keyword Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Ryze-AI-Adgent/open-seo-mcp-skills --skill keyword-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/keyword-research, .gemini/skills/keyword-research, .github/skills/keyword-research and .opencode/skills/keyword-research in your project.
What does Keyword Research need to run?
Going by SKILL.md and its folder, Keyword Research needs the command-line tools its instructions call (claude).
Does Keyword Research access the network?
SKILL.md names 2 domains. In commands or code: connector.get-ryze.ai; the agent is likely to contact it when it follows the instructions. As links in the text: get-ryze.ai. This is read from the text; nothing was executed.
Is Keyword Research safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Keyword Research use?
Keyword Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Keyword Research use?
About 581 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Keyword Research?
Skills that share tags, products or a category with Keyword Research: SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars), DataForSEO Live SEO Data (AgriciDaniel/claude-seo, 19k stars), SEO (Nexus-JPF/note-companion, 870 stars) and Localseodata Tool (garrettjsmith/localseoskills, 121 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Keyword Research?
Ryze-AI-Adgent (a GitHub organization) maintains it in Ryze-AI-Adgent/open-seo-mcp-skills, which has 4,672 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 24, 2026.
Source: Ryze-AI-Adgent/open-seo-mcp-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.