Best for
- Affiliate publishers who want natural-language access to multiple networks
- Agencies managing multiple brands' programs
- Teams needing periodic reporting and anomaly monitoring
Community-driven open-source MCP server to integrate affiliate networks into AI workspaces. It offers broad adapter coverage but most are experimental, so caution is advised. Main strength is covering both publisher and advertiser sides, though advertiser side is read-only. A useful tool for marketers wanting to simplify affiliate data queries.
Strongest · Documentation 17/20 Weakest · Reliability 11/20
Static review · not runListed 2026-09-08
Read the FMRS scoring method →Runtime:Node.js 20+ · Hosted (no local runtime)
AFFILIATE_MCP_CACHE
Set to on in ~/.affiliate-mcp/.env to enable optional local result caching of closed reporting windows; off by default.
Technical track: install Node.js 20+, run npx affiliate-networks-mcp setup to configure credentials interactively, then npx affiliate-networks-mcp test to verify. Use npx affiliate-networks-mcp install to auto-configure Claude Desktop or Codex. For Claude Code, run claude plugin marketplace add bobberrisford/affiliatemcp and claude plugin install affiliate-networks-mcp@affiliatemcp. Non-technical users can download the .mcpb file and install in Claude Desktop. Also available via hosted connector at mcp.agenticaffiliate.ai (paid, OAuth).
After installing, ask "What affiliate networks do you have access to?" in a new Claude conversation — it should list every network you configured. If you registered brands, also ask "list my brands".
Once connected, you can ask your AI assistant things like:
Listed from the project's documentation, not tested by this site.
Affiliate Networks MCP is a local MCP server that lets you query multiple affiliate networks (both publisher and advertiser sides) using natural language. It supports over 80 network adapters, most community-built and experimental. Your credentials stay local in ~/.affiliate-mcp/.env. Includes skills for consolidated earnings, anomaly detection, and reports. Aimed at publishers, brands, and agencies who want to chat with their affiliate data.
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Source revision cba5aff01d09 Data synced 2026-10-19 Read the FMRS scoring method