Search / io.github.atul0016/seo-geo-intelligence
SEO GEO Intelligence
L0· runs locallySEO and AI-answer visibility intelligence for search, content gaps, and GEO actions.
v0.1.1 · active · website · descriptor JSON · versions
Search / io.github.atul0016/seo-geo-intelligence
L0· runs locallySEO and AI-answer visibility intelligence for search, content gaps, and GEO actions.
v0.1.1 · active · website · descriptor JSON · versions
{
"mcpServers": {
"seo-geo-intelligence": {
"command": "uvx",
"args": [
"seo-geo-intelligence-mcp==0.1.1"
],
"env": {
"EARNALL_MCP_LICENSE_KEY": "${EARNALL_MCP_LICENSE_KEY}"
}
}
}
}claude mcp add seo-geo-intelligence -e "EARNALL_MCP_LICENSE_KEY=${EARNALL_MCP_LICENSE_KEY}" -- uvx seo-geo-intelligence-mcp==0.1.1[mcp_servers.seo-geo-intelligence]
command = "uvx"
args = ["seo-geo-intelligence-mcp==0.1.1"]
env = { "EARNALL_MCP_LICENSE_KEY" = "${EARNALL_MCP_LICENSE_KEY}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"seo-geo-intelligence": {
"type": "local",
"command": [
"uvx",
"seo-geo-intelligence-mcp==0.1.1"
],
"enabled": true,
"environment": {
"EARNALL_MCP_LICENSE_KEY": "{env:EARNALL_MCP_LICENSE_KEY}"
}
}
}
}{
"mcpServers": {
"seo-geo-intelligence": {
"command": "uvx",
"args": [
"seo-geo-intelligence-mcp==0.1.1"
],
"env": {
"EARNALL_MCP_LICENSE_KEY": "${EARNALL_MCP_LICENSE_KEY}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=seo-geo-intelligence&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJzZW8tZ2VvLWludGVsbGlnZW5jZS1tY3A9PTAuMS4xIl0sImVudiI6eyJFQVJOQUxMX01DUF9MSUNFTlNFX0tFWSI6IiR7RUFSTkFMTF9NQ1BfTElDRU5TRV9LRVl9In19"
}{
"servers": {
"seo-geo-intelligence": {
"type": "stdio",
"command": "uvx",
"args": [
"seo-geo-intelligence-mcp==0.1.1"
],
"env": {
"EARNALL_MCP_LICENSE_KEY": "${EARNALL_MCP_LICENSE_KEY}"
}
}
}
}{
"mcpServers": {
"seo-geo-intelligence": {
"command": "uvx",
"args": [
"seo-geo-intelligence-mcp==0.1.1"
],
"env": {
"EARNALL_MCP_LICENSE_KEY": "${EARNALL_MCP_LICENSE_KEY}"
}
}
}
}extensions:
"seo-geo-intelligence":
enabled: true
name: "seo-geo-intelligence"
type: stdio
cmd: "uvx"
args:
- "seo-geo-intelligence-mcp==0.1.1"
envs:
"EARNALL_MCP_LICENSE_KEY": "${EARNALL_MCP_LICENSE_KEY}"
timeout: 300
Placeholders to fill from your own secret store: ${EARNALL_MCP_LICENSE_KEY}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulnsno known advisory in 72 resolved packagesdeps.mcp_sdk_versionmcp 2.2.0, no known advisorydeps.resolvable[email protected] resolved: 72 packagesNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+website ~liveness-unmeasured ~updated-160d-ago -no-repository -unpinned-packages(1)
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPI71 dependencies, resolved · MCP SDK mcp 2.2.0 · advisories checked 2026-10-19
No known advisory affects this dependency graph.
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
seo-geo-intelligence-mcp | pypi | 0.1.1 | uvx | EARNALL_MCP_LICENSE_KEY |
docker.io/atulhritik/seo-geo-intelligence-mcp:0.1.0 | oci | unpinned | – |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
And 3 more from this publisher.
{
"name": "io.github.atul0016/seo-geo-intelligence",
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"price": {
"IN": "Rs 399",
"global": "$9.99"
},
"tools": [
"health",
"get_license_status",
"get_live_connector_status",
"test_google_search_console_connection",
"test_seo_data_connection",
"test_ai_visibility_connection",
"get_geo_visibility_score",
"get_seo_performance",
"get_competitor_geo_score",
"get_content_gaps",
"get_geo_recommendations",
"monitor_brand_mentions_in_ai"
],
"privacy": "Payment site stores payment/license records only. User platform credentials remain in the user runtime or local connector hub.",
"demoMode": "Tools return deterministic demo data when license or optional platform connectors are not configured.",
"productId": "AtulHritik-Mcp-Seo-Geo-Intelligence",
"publisher": "AtulHritik",
"purchaseUrl": "https://mcp-payment-site.vercel.app/seo-geo-intelligence",
"licenseBinding": "Buyer email plus first activation fingerprint hash. This license unlocks this MCP server only.",
"optionalConnectors": [
"Google Search Console",
"SEO Data Provider",
"OpenAI",
"Anthropic",
"Perplexity"
]
}
},
"title": "SEO GEO Intelligence",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.1",
"packages": [
{
"version": "0.1.1",
"transport": {
"type": "stdio"
},
"identifier": "seo-geo-intelligence-mcp",
"runtimeHint": "uvx",
"registryType": "pypi",
"environmentVariables": [
{
"name": "EARNALL_MCP_LICENSE_KEY",
"isSecret": true,
"isRequired": true,
"description": "License key from AtulHritik-Mcp-Seo-Geo-Intelligence purchase page."
},
{
"name": "EARNALL_MCP_ACTIVATION_ID",
"description": "Optional stable private install ID for this user/device.",
"placeholder": "my-laptop"
},
{
"name": "EARNALL_MCP_LICENSE_API",
"value": "https://mcp-payment-site.vercel.app/api/licenses/validate",
"description": "License validation endpoint."
}
]
},
{
"transport": {
"type": "stdio"
},
"identifier": "docker.io/atulhritik/seo-geo-intelligence-mcp:0.1.0",
"registryType": "oci"
}
],
"websiteUrl": "https://mcp-payment-site.vercel.app/seo-geo-intelligence",
"description": "SEO and AI-answer visibility intelligence for search, content gaps, and GEO actions."
}