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PopNx MCPMCP servers for people who use AI · explained in plain words

PraisonAI

by MervinPraisonversion 2.3.42i★ 9,333iRuns on your computer
Registry nameio.github.MervinPraison/praisonai

How to install

Overview

Description from the maker (original English)

AI Agents Framework with Self Reflection and MCP support

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: Other

Install

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

Passed 3/3 checks · Runs on your computer

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "praisonai": {
          "command": "uvx",
          "args": [
            "praisonai"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    Use PraisonAI and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using PraisonAI or shows a PraisonAI tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect PraisonAI yet

PraisonAI runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect PraisonAI

  • Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)

B · Others in Other that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add praisonai -- uvx praisonai
  4. Type /mcp in Claude Code

    You should see PraisonAI listed as connected

  5. Try it

    Use PraisonAI and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using PraisonAI or shows a PraisonAI tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    Use PraisonAI and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using PraisonAI or shows a PraisonAI tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    Use PraisonAI and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using PraisonAI or shows a PraisonAI tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use PraisonAI💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add praisonai -- uvx praisonai

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "praisonai": {
      "command": "uvx",
      "args": [
        "praisonai"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "praisonai": {
      "command": "uvx",
      "args": [
        "praisonai"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "praisonai": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "praisonai"
      ]
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
2,879/wk
Connection
Runs on your computer
Latest versioni
2.3.42
Categoryi
Other
Published to registryi
Dec 19, 2025
Code last changedi
Nov 10, 2026
Maker
MervinPraison
Packages
pypi: praisonai
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

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 11, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account MervinPraison, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed yesterday

  • ✓ Pass

    Has a licence

    Uses MIT

  • – 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

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Otheri

  • More stars than 100% of the other 19204 servers in this category
  • Published to the registry more recently than 1% of the other 19204 servers in this category
  • Basic checks equal to or better than 100% of the other 19204 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 PraisonAI 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 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 yesterday, and the latest version (2.3.42) reached the registry 11 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: World Monitor, Claude Flow, Tldraw

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.

by koala73Widely used★ 90.5KUpdated 6 days ago

Runs in the cloud✓ worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

by ruvnetWidely used↓ 13.5K/wk★ 81.4KUpdated 14 months ago

Runs on your computer

Tldraw

Draw and visually collaborate with your agents on tldraw's canvas.

by tldrawWidely used★ 51.4KUpdated 8 months ago

Runs in the cloud

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.

PraisonAI

Private AI that earns trust one task at a time.

PraisonAI runs AI agents on your own computers, even fully offline, so private data never has to leave the building.

  • For highly regulated teams (early access): each task moves to your own AI only after it passes a test. If quality slips, it moves back automatically, and every step is recorded for regulators. How it works
  • For everyone else: a free, open-source Python agent framework. With a local model you need no API key and pay no cloud bill, and your files stay yours.

2M+ downloads · 9.3K stars · 600+ releases in the last year · 80+ contributors · Python

pip install praisonai

Only need the Python library? pip install praisonaiagents installs just the lightweight core.

Using PraisonAI for something else?

PraisonAI is still a general-purpose, open-source agent framework, and everything works as before: the same packages, imports, commands and examples. Go straight to what you came for:

Quick start

Set a key for any supported provider (OpenAI shown here), or skip the key and use a local model as in the next section.

export OPENAI_API_KEY="your-api-key"
from praisonaiagents import Agent

agent = Agent(instructions="You are a helpful assistant.") print(agent.start("In two sentences, why do some companies keep their data on their own computers?"))

Run fully offline

Run the same agent on a model on your own computer with Ollama. You need no API key, and your prompts and answers stay on the machine.

Install the package and pull the model while you still have internet; after that, the agent runs with no network at all. If you installed only the core library, use pip install "praisonaiagents[llm]", which adds the local-model support.

# Start Ollama first (the app, or "ollama serve" in another terminal)

ollama pull llama3.2 export DO_NOT_TRACK=true # keeps telemetry off (PraisonAI sends none unless you turn it on)

from praisonaiagents import Agent

agent = Agent(instructions="You are a helpful assistant.", model="ollama/llama3.2") print(agent.start("Why is the sky blue?"))

If Ollama runs on another computer on your network, pass base_url (or set OLLAMA_API_BASE):

agent = Agent(instructions="...", model="ollama/llama3.2", base_url="http://192.168.1.10:11434")

vLLM and LM Studio work the same way: use hosted_vllm/ (vLLM) or lm_studio/ with your server's base_url. More in the Ollama guide and Models docs.

How the handover works (early access)

  1. Watch: records how each task is done today.
  2. Test: your own AI takes an exam made from real past work it never studied.
  3. Hand over: a task moves to your own AI only when it passes.
  4. Roll back: if quality drops, the task moves back automatically.
  5. Record: every handover leaves a record your regulator can check.

What is "your own AI"? An open model, such as Llama, Qwen or Gemma, running on your own computers. Use it as it is, or train it on your own past work with PraisonAI Train on your own GPU servers. Your team decides when to train; nothing trains automatically. Either way, a task moves to it only after it passes that exam.

Highly regulated teams, such as banks, insurers and hospitals, want AI but can't send customer data to outside models. From 6 January 2027, OpenAI also takes no new self-serve fine-tuning jobs (notice), so teams that customise models need models they own. The handover lets these teams move work to AI they own, one task at a time, with a record that shows why each step was trusted.

It is built on parts of this framework that are live today: tracing, evaluation, fine-tuning, model routing and local models. The handover itself is in early access, and we are taking on our first design partners. To take part, see praison.ai/enterprise.

Features

JavaScript and TypeScript

npm install praisonai

The TypeScript and JavaScript SDK has its own guide at praison.ai/docs/js. A short example is in Using JavaScript Code below.

The company

  • Who: Praison AI Limited in Cambridge, UK, building PraisonAI since September 2023. Co-founders Mervin Praison (CEO), Leebana Smith (COO) and Karthick Subramanian (CBO). About us
  • What we're building: the task handover above, as a self-hosted product on top of this framework. It is in early access, and we are taking on our first design partners.
  • Why now: highly regulated teams want AI but can't send customer data to outside models, and from 6 January 2027 OpenAI takes no new self-serve fine-tuning jobs.
  • How it fits together: the framework stays free and MIT-licensed, and brings developers in. Regulated teams license the handover to run inside their own walls.
  • Traction: every number at the top of this page is public and linked to its source.
  • Get in touch: design partners, investors and press: enterprise@praison.ai or praison.ai/enterprise

Docs, community and licence


Full feature reference

Everything below is the full reference that was on this page before. Nothing has been removed; the longest parts are folded, so click a heading's summary to open it.

Desktop app

Other ways to install

One-line installer:

curl -fsSL https://praison.ai/install.sh | bash

The full praisonai package, with the CLI, bots, dashboard and integrations:

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pip install praisonai

<a hre

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