• TOTAL COUNT
  • NETWORK MAP
  • GAP ANALYSIS
  • HUMAN REVIEW

How to calculate network reach with your AI

Connect your ecosystem data once. Your AI handles the heavy lifting of mapping out every possible connection for any member.

Ask AI about this page

Short answer

How do I find the total unique connection points for a member?

Your AI scans your accelerator's member directory and relationship maps to identify every unique contact available to a specific person. You'll get a precise count of their reachable network and a breakdown of how those connections are distributed.

The reach outcomes

Where your data lands

The AI processes your ecosystem data into these specific views.

TOTAL COUNT

Unique connection points

The AI uses calculate_network_reach to sum up every individual a member can contact. You get a single, clean number representing their total reach.

NETWORK MAP

Connection distribution

Your agent categorizes these connections by type or cohort. This shows you where a member's influence is strongest within the accelerator.

GAP ANALYSIS

Missing connection points

The AI identifies which high-value cohorts a member hasn't reached yet. This highlights where they need more introductions.

HUMAN REVIEW

Strategic outreach plan

The AI hands off the raw data to you. You decide which specific connections are worth pursuing based on the reach report.

The workflow

What your AI does when the request arrives.

The AI moves from raw data ingestion to a finished reach report.

  1. Data ingestion

    Your agent pulls the latest member lists and relationship logs from your ecosystem database.

    calculate_network_reach

  2. Reach calculation

    The AI runs the math to find every unique individual connected to the target member.

    calculate_network_reach

  3. Pattern recognition

    The agent looks for clusters and commonalities among the identified connections.

    calculate_network_reach

  4. Report generation

    The AI formats the final numbers and connection types into a readable summary for you.

    calculate_network_reach

Try it

Copy these to start.

Use these prompts to trigger the calculation immediately.

Starting points

These are opening lines. Swap the bracketed text for your actual member names or specific cohorts.

Accelerator Network Effects Connector

Alles bereit. Wählen Sie Ihren MCP-Client und folgen Sie den Einrichtungsschritten.

Connector-Linkhttps://edge.vinkius.com/vk_preview_cIfBsTDSfa9lwLyOoYp3Igq6sr9Fb1ASblHDUXeX/mcp

Claude Desktop

Folgen Sie den Schritten unten, um sich in Sekunden zu verbinden.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Accelerator Network Effects capabilities are ready to use.
Konfiguration · claude_desktop_config.jsonKopieren
{
  "mcpServers": {
    "accelerator-network-effects-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_cIfBsTDSfa9lwLyOoYp3Igq6sr9Fb1ASblHDUXeX/mcp"
    }
  }
}
Copy into chat04

  • Calculate the total network reach for [Member Name] in our accelerator.

  • How many unique connection points does [Member Name] have in the [Cohort Name] group?

  • Show me the reach distribution for [Member Name] across all current members.

  • Identify the gaps in [Member Name]'s network within the [Industry Name] cohort.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Accelerator Network Effects Engine once, then ask.

Link your data source to the MCP. Your credentials stay encrypted and private, and you can immediately start asking questions in your preferred AI client.

Connect Accelerator Network Effects Engine to your AI

FAQ

How this task behaves

  • 01

    Can the AI add new members to my database?

    No. This MCP is designed to read and calculate data, not to write or modify your member records.

  • 02

    Does the AI see private contact info like personal phone numbers?

    The AI only accesses the connection points defined in your data schema. It cannot see any data that isn't explicitly shared with the MCP.

  • 03

    How does it handle duplicate connections?

    The tool specifically calculates unique connection points, so it won't double-count the same person reached through different paths.

  • 04

    Can I use this with any AI client?

    Yes, as long as you are using an MCP-compatible client like Claude, Cursor, or Windsurf.

  • 05

    Will the AI make introductions for me?

    No. The AI identifies the reach and the people, but you must handle the actual outreach and introductions yourself.

  • More questions about Accelerator Network Effects Engine? The Connector page answers them. See everything the Accelerator Network Effects Engine Connector can do

Verbinde Accelerator Network Effects mit Claude, Cursor, ChatGPT & mehr