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grovs-io/mcp

by Various

MCP server for Grovs: manage deep links, attribution analytics, and campaigns from Claude Code, Cursor, Windsurf, and any MCP-compatible AI assistant. Open-source TypeScript, OAuth

G

MCP

grovs-io/mcp

Added 1 June 2026

#ai-tools #attribution #claude #claude-code #cursor #deep-linking #grovs #llm-tools

Overview

An open-source TypeScript MCP server that exposes Grovs deep link management, attribution analytics, and campaign controls to any MCP-compatible AI assistant (Claude Code, Cursor, Windsurf). It uses OAuth for authentication and requires no API keys.

Best for

Best for
Developers and marketers using Claude Code or Cursor who want to control Grovs deep links and attribution via chat

Use cases

  • Manage deep links through natural language in an AI assistant
  • Query attribution analytics conversationally
  • Configure marketing campaigns without leaving the chat interface

Notes

An open-source TypeScript MCP server that exposes Grovs deep link management, attribution analytics, and campaign controls to any MCP-compatible AI assistant (Claude Code, Cursor, Windsurf). It uses OAuth for authentication and requires no API keys.

1 stars on GitHub. Last updated 2026-05-13. Licensed MIT.

Use cases

  • Manage deep links through natural language in an AI assistant
  • Query attribution analytics conversationally
  • Configure marketing campaigns without leaving the chat interface

Pros

  • OAuth-based authentication eliminates manual API key management
  • Open-source TypeScript codebase is transparent and modifiable
  • Works across multiple MCP-compatible assistants

Cons

  • Very low GitHub community adoption (1 star) indicates limited real-world validation
  • Requires a Grovs account and OAuth setup, adding initial configuration overhead
  • Limited to environments that support the MCP protocol

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • OAuth-based authentication eliminates manual API key management
  • Open-source TypeScript codebase is transparent and modifiable
  • Works across multiple MCP-compatible assistants

Cons

  • Very low GitHub community adoption (1 star) indicates limited real-world validation
  • Requires a Grovs account and OAuth setup, adding initial configuration overhead
  • Limited to environments that support the MCP protocol