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PAPI: Persistent Adaptive Project Intelligence MCP Server

by getpapi Your server? Claim it
answering

PAPI: Persistent Adaptive Project Intelligence is answering right now. Last checked moments ago. 496 installs a week from npm. Last commit 9 Sep 2026.

Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.

Installs per day peak 436 · avg 139 · -11% w/w
a month agotoday
Uptime history 47 days of history
47 days agonow
100.0%
Uptime 24h
92 of 92 checks
—
Tools
hidden behind auth
263 ms
Response time
average over 24h
496
Installs / week
npm and PyPI

What the code does

We read the source, 21 h ago · rules 3dff92dd89df

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

File ships in the package but is absent from the source [пакет] design-assets/hooks/frontend-design-guard.sh:1 
этот файл ставится пользователю, но в репозитории его нет

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

run in your terminal
claude mcp add papi --transport http https://mcp.getpapi.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "papi": {
      "url": "https://mcp.getpapi.ai/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.papi]
url = "https://mcp.getpapi.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "papi": {
      "url": "https://mcp.getpapi.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "papi": {
      "url": "https://mcp.getpapi.ai/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://mcp.getpapi.ai/mcp streamable-http sign-in 401 ms 0 min ago

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PAPI: Persistent Adaptive Project Intelligence — questions

Answers built from our own checks of this server.

Why is there no tool list for PAPI: Persistent Adaptive Project Intelligence?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is PAPI: Persistent Adaptive Project Intelligence working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 263 ms. The bar chart above shows every period we have measured.
How do I connect PAPI: Persistent Adaptive Project Intelligence?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to PAPI: Persistent Adaptive Project Intelligence?
No API key is involved. PAPI: Persistent Adaptive Project Intelligence answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is PAPI: Persistent Adaptive Project Intelligence?
It answers our handshake in 263 ms on average, which is faster than 55% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use PAPI: Persistent Adaptive Project Intelligence?
The npm package @papi-ai/server was installed 496 times in the last week. Week over week that is -11%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is PAPI: Persistent Adaptive Project Intelligence open source?
Yes — it is published under the MIT licence, written in HTML, 8 stars on GitHub and 2 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.