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Mentor matching software

Match mentors and mentees on your own rules

Put rules on the answers and let AI read the free text. Every match gets a score. Approve the matches yourself or let mentees choose.

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Free for up to 10 users · No credit card · Rated 4.7/5 on Capterra

A suggested match: both profiles, the score and approval.

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Mentornity’s mentor–mentee matching software works on rules.

  • Each rule compares a mentor’s answer with a mentee’s answer and carries a weight.
  • A match’s score is the weight of the rules it meets divided by the total weight.
  • A match that fails a mandatory rule is not suggested.
  • The AI rule reads free text and adds to the same score.
Susan W. · Tyler B. 86% Match score
  • Focus area Same Matched ×3
  • Languages Similar Mandatory Matched ×2
  • Years of experience Greater than Matched ×1
  • Department Same Not matched ×1
3 + 2 + 1 Rules met ÷ 7 All rules = 86%

From answers to a match in four steps

  1. 1 Answers Application and custom field questions
  2. 2 Rules Standard, custom and AI
  3. 3 Score A percentage for every match
  4. 4 Match You approve, or the mentee chooses

Applications and custom fields

Ask once, and the rules read the answers

Define your own questions for mentors and mentees. The application form, onboarding and the profile all use the same questions.

  • Text, number, single choice, multiple choice and star fields
  • Accept applications automatically or review them one by one
  • Answers from an accepted application go to the profile
  • Map spreadsheet columns to fields when you import

Standard rules

Compare a mentor’s answer with a mentee’s

Pick two fields and a comparison, then set a weight. Give the rules that matter a higher weight and make the essentials mandatory.

  • Different questions can be compared too, like expertise and goal
  • Weights from 0.1 to 100, 1 by default
  • A match that fails a mandatory rule is not suggested

Comparisons

  • Same
  • Different
  • Greater than
  • Greater than or equal
  • Equal
  • Less than
  • Less than or equal
  • Similar

Custom rules

Pair a specific answer with a specific answer

If the mentor answered this, the mentee should have answered that. Describe the matches your general rules would miss.

  • Pick a field and a value for each side
  • Example: title is Manager, goal is Leadership
  • Give it a weight or make it mandatory

AI rule

Matching that reads free text

It reads the experience a mentor describes and the goal a mentee describes, then scores the fit. The score counts like any other rule.

  • Common ground or complementary comparison
  • The theme sets the axes the text is read on
  • Everyone is read once, not every match
  • Only the fields you pick are sent, never names or emails

12 themes

  • Corporate career
  • Entrepreneurship
  • Tech career
  • Students and new graduates
  • Job search and career change
  • Research and academia
  • Professional practice
  • High school students
  • Creative practice
  • Non-profit and community
  • Sport and performance
  • Life and community
Book a demo How the AI rule reads →

Calculation and approval

Calculate and see why each match was suggested

Press Calculate and scored suggestions arrive for every mentor. Open one to see both profiles side by side, with the matched fields in green.

  • Respects mentor limits and your matching settings
  • Approve one by one, or all at once with Approve all
  • No suggestion becomes a match until you approve it

Match requests

Let mentees choose, and decide who approves

Open the mentor list to mentees and choose how a match starts. Keep the list closed and you make the matches.

You set the limits

  • Mentor matching limit per mentee 1 No limit · 1–20
  • Mentor selection limit per mentee 3 No limit · 1–20
  • Default matching limit for mentors 2 No limit · 0–100
  • Matching duration 6 Months No limit · 1–18 Months
  • Matching again No Yes · No

Mentornity AI · Claude · ChatGPT · MCP

Matching with Mentornity AI, and match requests from Claude or ChatGPT

Ask Mentornity AI for the best candidates for a person and it scores them by the same rules your program matches with. Mentors answer match requests from Claude or ChatGPT, and in programs where mentees choose, mentees can search for a mentor and send a request there.

For program admins

Mentornity AI

An assistant inside the admin panel that knows your program: members, matches, meetings, applications and settings. Ask in plain words. It looks at the numbers, finds who needs attention and prepares the work. Nothing changes until an admin approves it. All Mentornity AI features →

Mentornity AI
Program admin

Suggest the three best mentors for Ryan Cooper.

By your matching rules: Laura Hayes 92, Marcus Johnson 88, Susan Whitfield 85. Ryan and Laura both name product strategy as their main topic. Shall I propose Laura?

Match proposal · Ryan Cooper and Laura Hayes

Both get an email once you approve.

Approve Reject

Nothing is sent before you approve.

See Mentornity AI in a demo

Control stays with you

  • An approval before every change Mentornity AI puts each change on a card, the connector shows a preview first. Steps that cannot be undone, such as removing a member, ask twice.
  • Names stay with you Mentornity AI sees members under aliases. Contact details are never shared.
  • The same permissions as on the web Both act only within the rights of the person using them, under the same rules and limits, and every action is logged.
  • Your program decides Admins turn members’ AI assistants on or off per program. A member can disconnect an assistant at any time in Settings.

People and numbers in the examples are made up.

Presentations

Running a program with Mentornity AI, by program type

One presentation per program type: community, employee, startup, student and alumni. Open it, present it, share it.

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Claude · ChatGPT · MCP

Finding a mentor and answering requests, in the chat app people already use

Mentornity connects to Claude, ChatGPT and other MCP apps. After that, people open their hours, set up meetings, find a mentor and work through mentoring tools by asking in the chat they already use, with no other app to learn. The assistant shows each change first and goes ahead only after a yes.

  • Claude
  • ChatGPT
  • Claude Code
  • Cursor
  • VS Code
  • other MCP apps
Claude Mentornity
Mentor

Open Tuesday afternoons for meetings with my new mentees.

Mentornity add_availability

Preview ready: what will change and who will be told. Confirm?

Yes, confirm.

Done

Sample requests; the names are made up.

Connect in three steps

  1. Add MentornityFind it in Claude’s directory, or paste the server address into ChatGPT or another MCP app.
  2. Sign inUse your Mentornity account and choose: look only, or also take actions.
  3. Just askWrite what you need. The assistant works only in your programs, with your role.
  • Nothing changes without your yes
  • Admins can turn it off for a program
  • No extra cost for members
Mentornity in Claude’s directory How to connect

Try matching on your own program

Set up a real program for up to 10 users on the free plan, write your rules and press Calculate. Or book a 30-minute demo and we set up the rules on your criteria together.

Start your program for free Book a demo

Recently shipped for matching

Dated changes to this part of the product. Each one has a page of its own.

See everything we shipped

Networking programs

Programmes where members find each other and meet, for professional associations, non-profits and communities. With ready goals and templates. Platform Admin panel Read the update

Matching From the Mentee Side

You can now start from a mentee and pick the mentor who fits them best. Admin panel Read the update

Coordinators Assigned by Rules

Give coordinators extra fields, and rules assign them to matches automatically. Admin panel Read the update

Frequently asked questions

How does the mentor matching algorithm work?

Each rule compares a mentor’s answer with a mentee’s answer and carries a weight, 1 by default. A match’s score is the weight of the rules it meets divided by the weight of all rules, times 100. Matches that fail a mandatory rule, score 0% or are already active together are not suggested, and suggestions arrive ranked by score.

What is the difference between a standard rule and a custom rule?

A standard rule compares two answers with each other: the mentor’s years of experience greater than the mentee’s. A custom rule pairs fixed values: if the mentor’s title is Manager, the mentee’s goal should be Leadership. Both take a weight and both can be mandatory.

What does the AI rule read, and where does the data go?

It reads the free-text fields you pick, such as the mentor’s experience and the mentee’s goal. Names, emails and contact details are never sent, and reading happens only when you calculate. The rule is enabled per program: you request access from the admin panel.

Can mentees choose their own mentor?

Yes. You open the mentor list to mentees, and the match starts when the mentee chooses, when the mentor accepts or when you activate it. In the approval flows you can limit how many mentors a mentee can send requests to.

Are application answers used in matching?

Yes. The application form asks the program’s custom field questions. When you accept an application, the answers are written to the member’s profile and the rules read those same answers. Nobody answers the same question twice.

Can we see why a match was suggested?

Yes. Open a suggestion and both profiles appear side by side, with the score in the middle. Fields matched by standard and AI rules are marked green, the ones they missed red.

Does matching work for group mentoring?

Yes. If the mentee side is made of groups, the rules read the group’s custom fields and the group sends the match request.

Still choosing your criteria? The guide compares three ways to match.

How to match mentors & mentees →

Run mentoring people actually show up for

Set up your program, invite your people, and let Mentornity handle matching, scheduling, and follow-through. You watch the health of every relationship from one dashboard.

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Free to start · No credit card · Same-day setup

Ask your AI about Mentornity

Pick your assistant. It reads a brief written for this page and answers for your program.

What should it answer?

Open in

See the question

Please read https://www.mentornity.com/mentor-matching-software/llms.txt. It is Mentornity’s brief for the page https://www.mentornity.com/mentor-matching-software/. We run, or are planning, a mentoring program. Tell us the five most important concrete benefits Mentornity would bring to our program, for the program team, mentors and mentees. Base the answer on the brief and on mentornity.com. If something is not covered there, say so rather than guessing. Please answer in English, briefly: under 200 words, short bullet points, most important first. We will ask follow-up questions. End with the link to start a free program: https://www.mentornity.com/try-for-free/?utm_source=chatgpt&utm_medium=ai-assistant&utm_campaign=ask-your-ai