Pricing

Simple Credit Pricing

Buy credits once, use them forever. No subscriptions, no expiration.

Base
Get started with essential credits
$10

9,000 credits • ~300 calls

Save ~$26 in API costs

9,000 credits (never expire)
~300 calls with 30K tokens each
Save ~$26 vs traditional MCP
Semantic tool search
Best Value
Pro
Best value - more credits at a discount
$50

50,000 credits • ~1,667 calls

Save ~$145 in API costs

50,000 credits (never expire)
~1,667 calls with 30K tokens each
Save ~$145 vs traditional MCP
Semantic tool search
How Credits Work
Understanding MCPlexor's credit system and savings

1 Credit = 1 Tool Search

Each semantic tool search query consumes 1 credit. Credits never expire.

Massive Token Savings

Traditional MCP loading uses 30K tokens per call. MCPlexor uses <1K tokens.

One-Time Purchase

No subscriptions, no recurring charges. Buy credits once, use them forever.

Top Up Anytime

Running low? Purchase more credits anytime. They add to your balance.

Savings Breakdown (Base Plan)

Traditional MCP (300 calls)9M tokens
300 calls × 30,000 tokens = $27.00 (Sonnet 4.5 @ $3/M)
With MCPlexor (300 calls)<0.3M tokens
300 calls × <1,000 tokens = <$0.90 (Sonnet 4.5)
Your Savings~$26.10
MCPlexor pays for itself in API savings alone!

Frequently Asked Questions

Do credits expire?

No! Credits never expire. Buy them once and use them whenever you need them.

Can I purchase multiple times?

Absolutely! Purchase credits anytime and they'll be added to your existing balance. Mix and match Base and Pro packages.

How are savings calculated?

We compare traditional MCP loading (30K tokens/call) vs MCPlexor (<1K tokens/call) using Claude Sonnet 4.5 pricing ($3 per million input tokens).

What's the difference between Base and Pro?

Pro offers better value with more credits at a discounted rate. All features are identical - just choose the package size that fits your needs.

Start Saving on API Costs Today

MCPlexor pays for itself in token savings. No subscriptions, no commitments. Just buy credits and start optimizing your AI workflows.