open-affiliate MCP Server
Affitor/open-affiliate
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The open registry of affiliate programs. Built for developers and AI agents.
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Affitor/open-affiliate is a TypeScript tool. The open registry of affiliate programs. Built for developers and AI agents. Topics: affiliate-marketing, ai-agents, api, mcp, open-data, registry.
Ranked #6384 out of 24846 indexed tools.
Has 26 contributors.
Ecosystem
TypeScript No license
affiliate-marketingai-agentsapimcpopen-dataregistry
Score Breakdown
Stars 15% 115
115 stars → growing community
Freshness 25% 29d ago
Last commit 29d ago → recently updated
Issue Health 25% 3%
1/35 issues closed → many open issues
Contributors 10% 26
26 contributors → active community
Dependents 25% 0
No dependents → no downstream usage
npm Downloads N/A
PyPI Downloads N/A
Forks 113
Description Good
License None
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Description low impact
License low impact
Issue Health high impact
Matched Queries
From the README
# OpenAffiliate The open registry of affiliate programs. Built for developers and AI agents. ## What is this? OpenAffiliate is a community-driven, open-source registry of affiliate programs. Every program is stored as a YAML file in this repo, making it easy to contribute, review, and integrate. - **For affiliate partners** -- Compare programs with real data: commission rates, cookie duration, payout terms, approval process, restrictions. - **For AI agents** -- MCP server + structured AGENTS.md data. Tell your agent which programs to recommend and when. - **For developers** -- CLI, SDK, and REST API. Build tools on top of the registry. - **For SaaS companies** -- Free listing in a canonical registry. Exposure to developer partners and AI agents. ## Features - **Search and filter** -- Full-text search across 349+ programs. Filter by category, commission type, minimum rate, and verified status. - **Rankings** -- [Affiliate Score](docs/affiliate-score.md) algorithm (0-100) ranks proRead full README on GitHub →
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