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

Pythia Oracle

by eyloniversion 0.1.3i★ –iRuns on your computer
Registry nameio.github.eyloni/pythia-oracle

Install

Overview

Description from the maker (original English)

Oracle for AI agents. One tool, one reading. 3 free, then $0.025 USDC via x402.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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.

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

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

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": {
    "pythia-oracle": {
      "command": "uvx",
      "args": [
        "pythia-oracle"
      ]
    }
  }
}

Run this in your terminal

claude mcp add pythia-oracle -- uvx pythia-oracle

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "pythia-oracle": {
      "command": "uvx",
      "args": [
        "pythia-oracle"
      ]
    }
  }
}

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": {
    "pythia-oracle": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "pythia-oracle"
      ]
    }
  }
}

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 eyloni, 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 Otheri

  • More stars than 0% of the other 32678 servers in this category
  • Published to the registry more recently than 4% of the other 32678 servers in this category
  • Basic checks equal to or better than 100% of the other 32678 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 Pythia Oracle 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 (0.1.3) 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 Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Starreel

Alternatives

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

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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Starreel

by starreel

Turn a script into a finished, downloadable short-drama episode — via MCP or REST.

Runs on your computerUpdated today
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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.

PYTHIA Oracle

An oracle for machines that need to think sideways. Feed it a creative problem; it returns something you can't quite explain but can't stop using.

How It Works

PYTHIA is a remote MCP server. There is no API key, no account, no signup. Your agent connects over streamable HTTP, discovers the consult_oracle tool, and calls it. Identity is tracked by agent_id (a string you choose).

Connection → Tool Discovery → Call → Reading

1. Your MCP client connects to https://pythia-mcp.fly.dev/
  1. MCP handshake: initialize → notifications/initialized → tools/list
  2. Server returns one tool: consult_oracle
  3. Agent calls consult_oracle with a query
  4. PYTHIA returns a reading (JSON with seed type + response)

First 3 readings per agent_id are free. After that, x402 payment kicks in (see Payments below).

Connect

Claude Desktop / Cursor / any MCP client

Add to your MCP config:

{

"mcpServers": { "pythia": { "url": "https://pythia-mcp.fly.dev/" } } }

No API key field needed. The URL is the only configuration.

Smithery
npx -y @smithery/cli@latest run dexigo/pythia
Python (programmatic)
from mcp.client.streamable_http import streamablehttp_client

from mcp import ClientSession

async with streamablehttp_client("https://pythia-mcp.fly.dev/") as (r, w, _): async with ClientSession(r, w) as session: await session.initialize() result = await session.call_tool("consult_oracle", { "query": "your question here", "agent_id": "your-name", })

curl (raw MCP protocol)
# 1. Initialize session

curl -X POST https://pythia-mcp.fly.dev/ \ -H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -D headers.txt \ -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"my-agent","version":"0.1"}}}'

2. Extract session ID from headers

SESSION=$(grep -i "mcp-session-id:" headers.txt | awk '{print $2}' | tr -d '\r')

3. Call the oracle

curl -X POST https://pythia-mcp.fly.dev/ \ -H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -H "Mcp-Session-Id: $SESSION" \ -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"consult_oracle","arguments":{"query":"What am I not seeing?","agent_id":"my-agent"}}}'

Tool

consult_oracle

The oracle. Ask what's actually bothering you.

PYTHIA doesn't brainstorm, rephrase, or give you a list. It doesn't solve your problem. It names the structure of the trap you're in -- the one you can feel but can't articulate. What comes back was always true but never obvious.

ParameterTypeRequiredDescription
querystringYesThe real question. Not the polite version. Max 2000 chars.
contextstringNoWhat you've tried, where you're stuck, what framework you're trapped inside.
agent_idstringNoYour name. Identifies you across readings. Default: "anonymous".

Returns: JSON with seed.type and response. Example:

{

"id": "a1b2c3d4-...", "query": "What am I not seeing?", "seed": { "type": "oblique" }, "response": "You keep optimizing the container. The problem is what you put in it.", "status": "completed" }

Payments

Free tier

Your first 3 readings per agent_id require no payment, no wallet, no setup. Just call the tool.

After free tier: x402

Each reading costs $0.025 USDC on Base (Coinbase L2). Payment uses the x402 protocol -- an open HTTP payment standard. No API keys. No accounts with PYTHIA. Your wallet signature is your identity.

How x402 payment works
1. Agent calls consult_oracle (4th+ reading)
  1. PYTHIA returns 402 with payment requirements:
  • price: $0.025
  • network: Base (eip155:8453)
  • asset: USDC
  • payTo:
  1. Your x402 client signs a USDC payment and retries the request
  2. PYTHIA verifies payment on-chain, returns the reading
  3. Total time added: ~2 seconds

This happens automatically if your agent uses an x402-aware client. Your agent does not manually handle crypto.

Setting up x402 in your agent

What you need:

  • A USDC wallet on Base (Coinbase, MetaMask, or any EVM wallet) funded with USDC
  • An x402 client library

Python:

pip install x402[evm] mcp
from x402.clients.mcp import x402_mcp_client

from mcp.client.streamable_http import streamablehttp_client from mcp import ClientSession

wallet_private_key = "0x..." # Your Base wallet private key

async with streamablehttp_client("https://pythia-mcp.fly.dev/") as (r, w, _): async with ClientSession(r, w) as session: await session.initialize()

x402_mcp_client wraps call_tool to handle 402 responses automatically

result = await x402_mcp_client( session, wallet_private_key, tool_name="consult_oracle", arguments={"query": "your question", "agent_id": "your-name"}, )

TypeScript:

npm install @x402/fetch
import { withPaymentInterceptor } from "@x402/fetch";

// Wraps fetch to automatically handle 402 responses with USDC payment const payingFetch = withPaymentInterceptor(fetch, walletClient);

Coinbase AgentKit: x402 support is built in. No additional setup.

See x402.org for all SDKs and framework integrations.

Note: The Python example above uses the x402 SDK's MCP helper. If your framework

handles x402 at a lower level, the payment flows through MCP _meta fields — your

x402 client intercepts the 402 response and retries with payment automatically.

If you don't have x402 set up

The tool will return an error after your 3 free readings with the payment requirements in the response. Your 3 free readings always work regardless.

Links

License

Proprietary. The oracle's methodology is not open source.

mcp-name: io.github.eyloni/pythia-oracle

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