Andru Revenue Intelligence vs GEO MCP

A side-by-side look at the Andru Revenue Intelligence and GEO MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Andru Revenue Intelligence logoAndru Revenue IntelligenceMarketing · Local subprocess (stdio)Revenue intelligence for SaaS founders: ICP scoring, persona profiling, competitive positioning.57GoodAuth: not declaredGEO MCP logoGEO MCPMarketing · Remote HTTP/SSEGoogle Ads, Meta Ads, SEO, GEO & GA4 MCP by Ryze AI - audits, reports, keywords, Search Console.48FairAuth: not declared

Verdict: choose Andru Revenue Intelligence for marketing work as a local process; choose GEO MCP for marketing over a hosted endpoint. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Andru Revenue Intelligence logoChoose Andru Revenue Intelligence when

  • You need dedicated capabilities in the Marketing domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like get_icp_fit_score, batch_fit_score, classify_opportunity.
Explore Andru Revenue Intelligence

GEO MCP logoChoose GEO MCP when

  • You need dedicated capabilities in the Marketing domain.
  • You prefer a remote HTTP/SSE transport.
Explore GEO MCP

Feature & specification comparison

Rows where the two servers differ are marked.

SpecAndru Revenue Intelligence logoAndru Revenue IntelligenceGEO MCP logoGEO MCP
CategoryMarketingMarketing
Quality signal57/100 · Good48/100 · Fair
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Remote HTTP/SSE
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars25,505
Directory activity 1 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools30Not listed

Tools & capabilities

Andru Revenue Intelligence tools 30

  • get_icp_fit_scoreTells you in seconds whether a company is worth your time — scores across 5 dimensions against who actually buys from you
  • batch_fit_scoreScore up to 50 companies at once — tier and score so you can rank a list in under a second
  • classify_opportunityFull read on a deal — fit score, persona match, risk flags, disqualification check, and a verdict: pursue, pause, or walk away
  • get_disqualification_signalsFind out if you're wasting time on a deal that won't close — three layers of signal and a clear recommendation
  • get_persona_profileLook up who you're actually talking to — what they care about at 7 AM, what they need before they say yes, and exactly how to open
  • get_messaging_frameworkWords that fit each buyer, adapted to how each person prefers to communicate, so the analytical CTO and the results-driven VP Sales each get a version that fits them
  • get_competitive_positioningHow you compare with a specific competitor, from the buyer's point of view: pass their features to see where you overlap, where you're different and where you're the better fit; without them, the concerns this buyer is likely to raise
  • get_evaluation_criteriaScores how well you match what a buyer needs — across pain coverage, outcome clarity, capability fit, and 3 more dimensions
  • get_account_planBuilds the account plan you'd normally spend a weekend on — stakeholder map, MEDDICC gaps, and the unified story
  • get_icp_profileReturns everything Andru knows about your ideal customer — all 5 intelligence layers and the patterns that predict churn
  • get_capability_profileMachine-readable snapshot of what your product does and who it's for — designed for buyer-side evaluation
  • discover_prospectsFinds real companies likely to buy your product — searches the web live and links the page behind every piece of evidence
  • +18 more on the listing page

GEO MCP tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Andru Revenue Intelligence

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "andru-revenue-intelligence": {
      "command": "npx",
      "args": [
        "mcp-server-andru-intelligence"
      ]
    }
  }
}

GEO MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "google-ads-meta-ads-seo-geo-mcp": {
      "url": "https://connector.get-ryze.ai/mcp"
    }
  }
}

Frequently asked questions

Andru Revenue Intelligence is categorized under Marketing and uses a local stdio subprocess. GEO MCP belongs to Marketing and uses a remote HTTP/SSE transport. Pick Andru Revenue Intelligence for marketing work and GEO MCP for marketing.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Andru Revenue Intelligence has no declared pricing — check the project's own site. GEO MCP has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add andru-revenue-intelligence and google-ads-meta-ads-seo-geo-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Andru Revenue Intelligence has a quality signal of 57/100 (Good) with 1 views, 0 installs and 2 GitHub stars. GEO MCP has 48/100 (Fair) with 1 views, 0 installs and 5,505 GitHub stars.