Faculti

Name: Faculti
Author: facultidev42FacultiDevelopment

by facultidev42FacultiDevelopmentversion 1.0.7i★ –iRuns on your computer

Registry nameio.github.facultidev42FacultiDevelopment/faculti

Install

Overview

Description from the maker (original English)

Search academic expert insights, papers and contributions from Faculti

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 checksi1 of 1 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 on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "faculti": {
      "command": "npx",
      "args": [
        "-y",
        "@facultiai/mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add faculti -- npx -y @facultiai/mcp-server

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "faculti": {
      "command": "npx",
      "args": [
        "-y",
        "@facultiai/mcp-server"
      ]
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "faculti": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@facultiai/mcp-server"
      ]
    }
  }
}

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Runs on your computer; the tool list appears in your AI app after you install it.

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 with the GitHub account facultidev42FacultiDevelopment, which owns the repo
… 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
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7283 servers in this category
Published to the registry more recently than 5% of the other 7283 servers in this category
Basic checks equal to or better than 100% of the other 7283 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 Faculti safe?

It passed 1 of 1 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 on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.7) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

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.

Model Context Protocol servers

This repository is a collection of *reference implementations* for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources.

[!IMPORTANT]

If you are looking for a list of MCP servers, you can browse published servers on the MCP Registry. The repository served by this README is dedicated to housing just the small number of reference servers maintained by the MCP steering group.

[!WARNING]

The servers in this repository are intended as reference implementations to demonstrate MCP features and SDK usage. They are meant to serve as educational examples for developers building their own MCP servers, not as production-ready solutions. Developers should evaluate their own security requirements and implement appropriate safeguards based on their specific threat model and use case.

The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources. Typically, each MCP server is implemented with an MCP SDK:

🌟 Reference Servers

These servers aim to demonstrate MCP features and the official SDKs.

[Everything](src/everything) - Reference / test server with prompts, resources, and tools.
[Fetch](src/fetch) - Web content fetching and conversion for efficient LLM usage.
[Filesystem](src/filesystem) - Secure file operations with configurable access controls.
[Git](src/git) - Tools to read, search, and manipulate Git repositories.
[Memory](src/memory) - Knowledge graph-based persistent memory system.
[Sequential Thinking](src/sequentialthinking) - Dynamic and reflective problem-solving through thought sequences.
[Time](src/time) - Time and timezone conversion capabilities.

Archived

The following reference servers are now archived and can be found at servers-archived.

[AWS KB Retrieval](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/aws-kb-retrieval-server) - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
[Brave Search](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/brave-search) - Web and local search using Brave's Search API. Has been replaced by the official server.
[EverArt](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/everart) - AI image generation using various models.
[GitHub](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/github) - Repository management, file operations, and GitHub API integration.
[GitLab](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/gitlab) - GitLab API, enabling project management.
[Google Drive](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/gdrive) - File access and search capabilities for Google Drive.
[Google Maps](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/google-maps) - Location services, directions, and place details.
[PostgreSQL](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/postgres) - Read-only database access with schema inspection.
[Puppeteer](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/puppeteer) - Browser automation and web scraping.
[Redis](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/redis) - Interact with Redis key-value stores.
[Sentry](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/sentry) - Retrieving and analyzing issues from Sentry.io.
[Slack](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/slack) - Channel management and messaging capabilities. Now maintained by Zencoder
[SQLite](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/sqlite) - Database interaction and business intelligence capabilities.

🤝 Third-Party Servers

[!NOTE]

The server lists in this README are no longer maintained and will eventually be removed.

🎖️ Official Integrations

Official integrations are maintained by companies building production ready MCP servers for their platforms.

[21st.dev Magic](https://github.com/21st-dev/magic-mcp) - Create crafted UI components inspired by the best 21st.dev design engineers.
[2slides](https://github.com/2slides/2slides-mcp) - An MCP server that provides tools to convert content into slides/PPT/presentation or generate slides/PPT/presentation with user intention.
[ActionKit by Paragon](https://github.com/useparagon/paragon-mcp) - Connect to 130+ SaaS integrations (e.g. Slack, Salesforce, Gmail) with Paragon’s ActionKit API.
[Adfin](https://github.com/Adfin-Engineering/mcp-server-adfin) - The only platform you need to get paid - all payments in one place, invoicing and accounting reconciliations with Adfin.
[AgentOps](https://github.com/AgentOps-AI/agentops-mcp) - Provide observability and tracing for debugging AI agents with AgentOps API.
[AgentQL](https://github.com/tinyfish-io/agentql-mcp) - Enable AI agents to get structured data from unstructured web with AgentQL.
[AgentRPC](https://github.com/agentrpc/agentrpc) - Connect to any function, any language, across network boundaries using AgentRPC.
[Agentset](https://github.com/agentset-ai/mcp-server) - RAG for your knowledge base connected to Agentset.
[Airwallex Developer](https://www.npmjs.com/package/@airwallex/developer-mcp) - Empowers AI coding agents with the tools they need to assist developers integrating with Airwallex APIs
[Aiven](https://github.com/Aiven-Open/mcp-aiven) - Navigate your Aiven projects and interact with the PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services
[Alation](https://github.com/Alation/alation-ai-agent-sdk) - Unlock the power of the enterprise Data Catalog by harnessing tools provided by the Alation MCP server.
[Alby Bitcoin Payments](https://github.com/getAlby/mcp) - Connect any bitcoin lightning wallet to your agent to send and receive instant payments globally with your agent.
[Algolia](https://github.com/algolia/mcp) - Use AI agents to provision, configure, and query your Algolia search indices.
[Alibaba Cloud AnalyticDB for MySQL](https://github.com/aliyun/alibabacloud-adb-mysql-mcp-server) - Connect to an AnalyticDB for MySQL cluster for getting database or table metadata, querying and analyzing data. It will be supported to add the OpenAPI for cluster operation in the future.
[Alibaba Cloud AnalyticDB for PostgreSQL](https://github.com/aliyun/alibabacloud-adbpg-mcp-server) - An MCP server to connect to AnalyticDB for PostgreSQL instances, query and analyze data.
[Alibaba Cloud DataWorks](https://github.com/aliyun/alibabacloud-dataworks-mcp-server) - A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is based on the Alibaba Cloud Open API and enables AI agents to perform cloud resources operations seamlessly.
[Alibaba Cloud OpenSearch](https://github.com/aliyun/alibabacloud-opensearch-mcp-server) - This MCP server equips AI Agents with tools to interact with OpenSearch through a standardized and extensible interface.
[Alibaba Cloud OPS](https://github.com/aliyun/alibaba-cloud-ops-mcp-server) - Manage the lifecycle of your Alibaba Cloud resources with CloudOps Orchestration Service and Alibaba Cloud OpenAPI.
[Alibaba Cloud RDS](https://github.com/aliyun/alibabacloud-rds-openapi-mcp-server) - An MCP server designed to interact with the Alibaba Cloud RDS OpenAPI, enabling programmatic management of RDS resources via an LLM.
[AlipayPlus](https://github.com/alipay/global-alipayplus-mcp) - Connect your AI Agents to AlipayPlus Checkout Payment.
**Alkemi*

Only the beginning is shown; read the rest in the repo

Faculti

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Model Context Protocol servers

🌟 Reference Servers

Archived

🤝 Third-Party Servers

🎖️ Official Integrations