Agent-Native Calendar
by BuilderIO
Agent-Native Google Calendar - manage events, sync, and public booking
Runs in the cloud★ 7,620MITUpdated 2 months ago
Install
Hiring Fairness & Selection ROI
Overview
Description from the maker (original English)
Detect hiring adverse impact and estimate whether a selection method is worth its cost.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs in the cloud
- Transport: Streamable HTTP
- Category: Docs, sheets & office work
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 3 of 3 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://hiring-fairness-mcp.saifs.ai/mcpRun this in your terminal
claude mcp add --transport http hiring-fairness https://hiring-fairness-mcp.saifs.ai/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"hiring-fairness": {
"url": "https://hiring-fairness-mcp.saifs.ai/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"hiring-fairness": {
"type": "http",
"url": "https://hiring-fairness-mcp.saifs.ai/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://hiring-fairness-mcp.saifs.ai/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
The server asks you to sign in before it lists its tools.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain saifs.ai (the registry checks domain ownership)
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- ✓ Pass
Endpoint responds
Responded in 663 ms (HTTP 401)
- ✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Docs, sheets & office worki
- More stars than 0% of the other 3537 servers in this category
- Published to the registry more recently than 65% of the other 3537 servers in this category
- Basic checks equal to or better than 100% of the other 3537 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Hiring Fairness & Selection ROI safe?
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 17 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Excel MCP Server
by haris-musa
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Runs on your computer★ 4,276MITUpdated 7 days ago
Install
MCP Server for Excel
by sbroenne
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
Runs on your computer★ 847MITUpdated 4 days ago
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Hiring Fairness & Selection ROI
Group-level fairness and value analysis of a hiring process. From counts per stage and group it returns selection rates and impact ratios at every stage (EEOC four-fifths rule), whether each gap is larger than chance, the end-to-end funnel, and a like-for-like check across jobs that catches Simpson's paradox. From anonymous score/outcome pairs it tells you whether a test predicts job success, whether it underrates a group, a fair pass mark, and its money value net of cost. It never scores, ranks or selects individuals, and its output is analysis, not legal advice.
| Registry name | ai.saifs/hiring-fairness |
| Endpoint | https://hiring-fairness-mcp.saifs.ai/mcp |
| Transport | Streamable HTTP (remote, nothing to install) |
| Auth | OAuth 2.1 — PKCE (S256) and dynamic client registration; your client opens a sign-in page on first use |
| Publisher | SAIFS AI |
Install
VS Code / GitHub Copilot
Add to .vscode/mcp.json (workspace) or your user mcp.json:
{"servers": { "saifs-hiring-fairness": { "type": "http", "url": "https://hiring-fairness-mcp.saifs.ai/mcp" } } }
Then start the server from the MCP view and sign in when prompted.
Claude (claude.ai, Desktop)
Settings → Connectors → Add custom connector, and paste:
https://hiring-fairness-mcp.saifs.ai/mcpClaude Code
claude mcp add --transport http saifs-hiring-fairness https://hiring-fairness-mcp.saifs.ai/mcpAny other MCP client
Point it at https://hiring-fairness-mcp.saifs.ai/mcp using the Streamable HTTP transport. The server returns 401 with a WWW-Authenticate: Bearer … resource_metadata=… challenge, so OAuth-aware clients sign in automatically.
Tools
| Tool | What it does |
|---|---|
hiring_fairness | Analyses up to 5,000 rows of stage counts (or stage/group/selected candidate rows, or anonymous score/outcome pairs) and returns decision cards such as REVIEW THIS STAGE, COMPARE LIKE WITH LIKE, TEST PREDICTS, SET CUTOFF and WORTH THE COST. |
hiring_fairness_get_engine | For larger ATS exports: returns a numpy-only Python script that aggregates candidate rows to group counts locally and runs the same analysis, so no candidate data reaches the server. |
Example prompts
- “Here are our applicant and hire counts by stage and gender. Is any stage showing adverse impact?”
- “Is our coding assessment worth what it costs, and what pass mark is fair?”
- “Compare selection rates across departments like for like.”
Support
- Website: https://saifs.ai
- Issues: https://github.com/Saify-Technologies/saifs-ai-mcps-docs/issues
- Privacy: https://saifs.ai/privacy_policy