local-seo-data

local-seo-data is a skill for Claude Code, Codex from localseodata/mcp-server. It costs 114 tokens per session (645 once invoked), scanned A, original, MIT.

A set of tools that retrieves live local search information for businesses and locations through the Local SEO Data service. It can compare rankings and competitors and run local search audits and scans.

In plain words
What is it for?
Use it for local ranking checks, Google Business Profile data, reviews, citation and reputation audits, keyword research, map scans, and competitor or backlink comparisons.
Why use it?
It helps avoid guessing about local search performance and encourages reusing saved results and checking costs before paid lookups.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for local ranking checks, Google Business Profile data, reviews, citation and reputation audits, keyword research, map scans, and competitor or backlink comparisons.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/localseodata/mcp-server/local-seo-data
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add localseodata/mcp-server --skill local-seo-data
Clone the repo
git clone --depth 1 https://github.com/localseodata/mcp-server

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for local-seo-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/localseodata/mcp-server/local-seo-data/github.svg)](https://agentmods.dev/skills/localseodata/mcp-server/local-seo-data)
Your own site
<a href="https://agentmods.dev/skills/localseodata/mcp-server/local-seo-data"><img src="https://agentmods.dev/badge/skills/localseodata/mcp-server/local-seo-data/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for local-seo-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/localseodata/mcp-server/local-seo-data"><img src="https://agentmods.dev/badge/skills/localseodata/mcp-server/local-seo-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 645 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00114 $0.00645
Opus 5.5 $0.00046 $0.00258
Sonnet 5.5 $0.00023 $0.00129
Haiku 4.5 $0.00011 $0.00064

Measured 2d ago against content hash 8f5d95e1c15a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

local-seo-data scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

antigravity/skills/local-seo-data/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Local SEO Data

The localseodata MCP server bundled with this plugin looks up public local search data for any business and market. It acts as the signed-in Local SEO Data account and charges that account's credits per call. The server sends its own tool-selection guide when it connects; follow it. The rules below are the ones that matter most.

Before you act

  1. Check the balance first on multi-step work. get_balance is free. Estimate the total cost before a chain of calls and warn the user if it is more than half their balance.
  2. Resolve the location when it is ambiguous. Most tools take a natural location such as Austin, TX. If a tool returns nothing for a place, call location_search (free) and retry with the exact format it returns.
  3. Reuse what was already bought. Before re-running a lookup to see whether something changed, search history_search and read the stored answer with history_get. Both are free.
  4. Confirm before expensive tools. local_audit, citation_audit and geogrid_scan cost 50 credits or more. Say the cost and get a yes first.
  5. Pick the cheapest tool that answers. local_pack (2 credits) answers "who ranks for X in Y"; a full local_audit is not needed for that.

Reading results

  • Rankings are non-personalized. They can differ from what the user sees in their own browser, so say so when you present them.
  • A question about how often an AI names a business is a question about a rate. Use ai_sample and collect it with ai_sample_status (free) instead of a single ai_mode or ai_scraper call.
  • Do not decide by string comparison whether an AI answer named a business. Pass the answer's businesses to ai_match with the target's name and location.
  • For chains, get the store's place_id from business_profile first and pass it to the review tools.

Scope

Every tool is read-only. Local SEO Data cannot reply to reviews, edit a Business Profile or change any account. It returns public business data only, never personal information about reviewers or other private individuals.

Read the full file on GitHub · 53 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 53 lines · 114 tokens per session scan A 8f5d95e1c15a

Subscribe to this mod's changes

local-seo-data is a skill published in the GitHub repository localseodata/mcp-server (3 stars, last pushed yesterday), licensed MIT. It adds 114 tokens to every session and 645 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-11-11.

Related

local-seo-data compared with skills from other repositories

local-seo-data next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
local-seo-datalocalseodata/mcp-serverSkill3yesterdayMITA114Claude Code, Codex
seo-audit-reportIamRamgarhia/All-In-One-Free-SEO-ToolSkill12613d agoMITA38Claude Code
seo-fix-passIamRamgarhia/All-In-One-Free-SEO-ToolSkill12613d agoMITA38Claude Code
seo-client-setupIamRamgarhia/All-In-One-Free-SEO-ToolSkill12613d agoMITA34Claude Code
seo-keyword-planIamRamgarhia/All-In-One-Free-SEO-ToolSkill12613d agoMITA32Claude Code
seo-task-runnerIamRamgarhia/All-In-One-Free-SEO-ToolSkill12613d agoMITA42Claude Code
local-falcon-mcplocal-falcon/mcpSkill26yesterdayMITA44Claude Code