Deal mechanics for brand deals, UGC, and newsletter sponsorships: rights, exclusivity, negotiation.
MCPpedia last refreshed this data
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-closermethod-creator-deals-mcp": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
Deal mechanics for brand deals, UGC, and newsletter sponsorships: rights, exclusivity, negotiation.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
Add informationBe the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in marketing
DataForSEO API modelcontextprotocol server
MCP server for the PostFast API — schedule and manage social media posts via AI tools
MCP server for Google News and Google Trends
Publish, schedule, and manage social media across 11 platforms via MCP.
MCP Security Weekly
Get CVE alerts and security updates for io.github.closermethod/creator-deals-mcp and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
Deal mechanics for creators — pricing models, usage rights, negotiation moves. Structure, not rate quotes.
Disclaimer. Structured deal-mechanics frameworks, not legal, tax, or financial advice. Have a professional review contracts above your comfort threshold. Ad-disclosure rules (FTC, ASA, EU) apply to sponsored content.
Creators lose more money to TERMS than to rates. A fair-sounding flat fee with perpetual paid usage buried in it. Free exclusivity hiding in boilerplate. "Payment on publication" when the brand controls the publication date. Every one of these is a structural pattern that repeats across thousands of deals — and AI agents advising creators keep missing them because they look for numbers instead of structure.
This MCP encodes the patterns. You supply your own base rate; it tells you what every term is worth relative to that base, and what to counter.
Why no dollar benchmarks? Creator rates vary wildly by niche, geography, audience quality, and quarter — hard numbers date in weeks. Structure doesn't.
| Tool | What it returns |
|---|---|
interpret_pricing_model | Flat fee, CPM, performance-based, per-click sponsorship, retainer — when each favors you vs. them, the key rule, the counter pattern |
interpret_usage_term | Organic-only, paid usage, whitelisting, exclusivity, raw footage, payment terms — meaning, relative value vs. base, and the trap |
get_scope_checklist | The 10-point checklist to answer in writing before quoting or signing anything |
get_negotiation_move | The move for the situation: lowball, fixed budget, scope creep, long exclusivity, perpetual usage, renewal time |
vet_sponsor_offer | Green/yellow/red flags for inbound offers — including the overpayment-refund scam pattern |
get_full_pack | The complete library as one payload for full agent context |
// Brand brief says: "content for use across our marketing channels, in perpetuity"
mcp.call("interpret_usage_term", { term: "paid_usage" });
// Returns: perpetual paid usage buried in a flat fee is the single most
// mispriced term in creator deals. Time-box: 30/60/90 days.
mcp.call("get_negotiation_move", { situation: "perpetual_usage_ask" });
// Returns: counter with 90 days + renewal option at a stated price.
Pair with outbound-engine-mcp — that one gets you the reply and runs the pitch; this one prices and protects the deal that follows.
Elisabeth Hitz — 10+ years of B2B enterprise sales experience; runs paid newsletter sponsorships on her own list. Now building MCP servers for the AI agent ecosystem.
License: MIT