MCP For Claude Marketplace
Accelerator Post-Program Support

Accelerator Post-Program Support MCP Connector for Claude

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Economic modeling for alumni support services and resource distribution.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a specialized economic modeling engine to manage the relationship between accelerator resources and alumni engagement. It allows AI agents to calculate the financial impact of support services and optimize resource allocation. Using get_support_economics, agents can determine the cost per alumnus and total resource utilization. The recommend_support_tiers tool enables automated tier assignment based on graduation recency and engagement levels, while validate_resource_capacity ensures that requested support levels remain mathematically feasible within available mentor hour constraints.

economicsalumniresource-allocationmodelingbusiness

3 tools expose this connector's capabilities to your AI agent.

recommend_support_tiers

Assigns specific service tiers to alumni based on their graduation recency and engagement levels

validate_resource_capacity

Checks if the requested support level for a specific subset of alumni is mathematically feasible

get_support_economics

Calculates the total financial cost per alumnus and the overall resource distribution

See how to talk to your AI agent using Accelerator Post-Program Support.

Calculate the support economics for 50 alumni with 100 monthly hours at $150 per hour.

The total cost per alumnus is $300, with a total resource utilization of 100% based on the provided parameters.

Is it feasible to give 10 companies 5 hours each if I only have 40 hours available?

No, it is not feasible. There is a deficit of 10 hours required to meet the request.

Recommend support tiers for my alumni list.

Based on the graduation years and engagement levels, 5 companies have been assigned to the Platinum tier, 15 to Gold, and 30 to Silver.

The `get_support_economics` tool calculates the total cost by multiplying the total monthly mentor hours used by the hourly mentor rate, then divides that by the number of alumni.

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