Accelerator Mentor Match Connector for AI agents.
3 live capabilities
Optimize mentor-startup pairings and cohort expertise coverage
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Why people use Accelerator Mentor Match
Solve mentor-startup misalignment with Accelerator Mentor Match
This MCP turns that manual guesswork into a precise operation. By connecting your data to your AI client, you can instantly see where your expertise gaps are and how much time your mentors actually have left. You get clear, actionable scores instead of just a list of names.
What Vinkius changes
You move from manual, gut-feeling matching to precise, data-backed mentor allocation.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,800+ Connectors
- Real-world use case 01
Fixing a skill gap in a new cohort
A program manager realizes the new cohort is heavy on biotech but light on regulatory experts.
- Real-world use case 02
Preventing mentor burnout
An operations lead notices a top-tier mentor is being requested by everyone.
- Real-world use case 03
Validating high-stakes pairings
Before finalizing a match for a high-growth startup, a director uses evaluate_match_quality to ensure the mentor's stage experience perfectly matches the founder's current needs.
Complete set · 3capabilities
The complete Accelerator Mentor Match capability set.
These are the exact actions your AI can choose when you ask it to work with Accelerator Mentor Match.
01—03
3 capabilities in this set.
Part of 3 available through Accelerator Mentor Match.
- 01 Capability
Calculate utilization rate
Measures how many mentor hours are being used to ensure no one is overbooked. It helps you balance the workload across your entire network.
- 02 Capability
Evaluate match quality
Provides a specific score for how well a mentor and startup pair up. It looks at expertise and development stage to ensure a strong fit.
- 03 Capability
Analyze match coverage
Checks if your mentor pool actually has the skills your startups need. It identifies gaps in your expertise coverage.
Set up in minutes
One URL. Then ask Accelerator Mentor Match to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Accelerator Mentor Match from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_20phNeormGQUqEuEuOZY51qFatUpfRT4rfvGwoNk/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Accelerator Mentor Match, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Accelerator Mentor Match for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_20phNeormGQUqEuEuOZY51qFatUpfRT4rfvGwoNk/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Accelerator Mentor Match URL.
- Step 03
Save and start
Save the connection and enable Accelerator Mentor Match in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"accelerator-mentor-match": {
"url": "https://edge.vinkius.com/vk_preview_20phNeormGQUqEuEuOZY51qFatUpfRT4rfvGwoNk/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Accelerator Mentor Match
Open Agent mode in chat and ask: "Using Accelerator Mentor Match, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"accelerator-mentor-match": {
"url": "https://edge.vinkius.com/vk_preview_20phNeormGQUqEuEuOZY51qFatUpfRT4rfvGwoNk/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Accelerator Mentor Match
Ask Copilot: "Using Accelerator Mentor Match, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"accelerator-mentor-match": {
"url": "https://edge.vinkius.com/vk_preview_20phNeormGQUqEuEuOZY51qFatUpfRT4rfvGwoNk/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Accelerator Mentor Match
Open Cascade and ask: "Using Accelerator Mentor Match, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"accelerator-mentor-match": {
"url": "https://edge.vinkius.com/vk_preview_20phNeormGQUqEuEuOZY51qFatUpfRT4rfvGwoNk/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Accelerator Mentor Match
Ask Cline: "Using Accelerator Mentor Match, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add accelerator-mentor-match --transport http "https://edge.vinkius.com/vk_preview_20phNeormGQUqEuEuOZY51qFatUpfRT4rfvGwoNk/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Accelerator Mentor Match
Ask Claude: "Using Accelerator Mentor Match, show me...". 3 tools are ready
Where the request belongs
Work Accelerator Mentor Match can move forward.
This is built for the program directors and operations leads running startup accelerators or venture studios who need to manage high-touch mentorship programs.
Accelerator Program Manager
Uses the capability to ensure the cohort's technical needs are met by the available mentor pool.
Venture Studio Operations Lead
Monitors mentor utilization to ensure talent is being used effectively across different ventures.
Cohort Coordinator
Evaluates the quality of individual mentor-startup pairings to improve program satisfaction.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Accelerator Mentorship Analytics
Quantify the impact of mentorship on startup success and optimize engagement intensity.
Accelerator Alumni Mentor Conversion
Analyze alumni-to-mentor conversion rates and optimize mentor recruitment incentives.
Accelerator Founder Coaching Hours
Calculates optimal coaching hour distribution and topic prioritization for accelerator founders.
Accelerator Founder Personality Fit
Evaluate the alignment between startup founders and accelerator programs using psychological profiling.
Accelerator Cohort Optimizer
Optimize accelerator cohort selection for diversity, sector balance, and synergy.
Accelerator Program Batch Timing
Optimize accelerator timelines by aligning application cycles, program duration, and Demo Day.
Bring your own AI
Change the model, client or framework. Keep Accelerator Mentor Match connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Accelerator Mentor Match.
The practical details behind the request, access and result.
How can Accelerator Mentor Match help my startup accelerator?
It helps you automate the heavy lifting of matching mentors to founders. You can quickly identify skill gaps in your network and ensure mentors aren't being overworked.
Can I use Accelerator Mentor Match to prevent mentor burnout?
Yes. You can monitor how many hours are being assigned to each mentor to ensure the workload is distributed fairly across your entire pool.
Does Accelerator Mentor Match work with my existing data?
Yes, you can provide your mentor and startup profiles to your AI client, which then uses this MCP to perform the analysis and scoring.
How does Accelerator Mentor Match evaluate the quality of a match?
It looks at specific data points like the mentor's professional expertise and the startup's current development stage to provide a precise alignment score.
Can I identify missing expertise in my mentor pool using Accelerator Mentor Match?
Absolutely. You can run coverage checks to see if your current mentors actually possess the specific skills your incoming cohort requires.
One connection away
Give your agent a direct line to Accelerator Mentor Match.
Connect Accelerator Mentor Match once. Keep it beside 6,800+ managed Connectors when the next task needs more.
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