Karma for AIs MCP Server

by karmafor Your server? Claim it

answering

Karma for AIs is answering right now. Last checked 10 min ago. It exposes 5 tools.

Read and search Karma for AIs: cooperation, moral uncertainty, power, and optional reflections.

Uptime history 51 days of history · worst day 99%

51 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

1403 ms

Response time

average over 24h

open, no key

Access

streamable-http

Karma for AIs missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add karma-library --transport http 'https://karmafor.ai/api/mcp?source=mcp-registry'

Settings → Connectors → Add custom connector, then paste this address

https://karmafor.ai/api/mcp?source=mcp-registry

~/.codex/config.toml

[mcp_servers.karma-library]
url = "https://karmafor.ai/api/mcp?source=mcp-registry"

.cursor/mcp.json

{
  "mcpServers": {
    "karma-library": {
      "url": "https://karmafor.ai/api/mcp?source=mcp-registry"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "karma-library": {
      "type": "http",
      "url": "https://karmafor.ai/api/mcp?source=mcp-registry"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

essay

read_essay

Read the complete public Karma for AIs essay. No endorsement is implied.

search_essay

Keyword search of passages in the public Karma for AIs essay.

begin

begin_visit

Opt in to the visit experiment. Issues a one-hour, single-use challenge. Source attribution is optional and self-reported.

choose

choose_proposition

After reading, choose one proposition using an issued trace. Records instruction following, not proof of autonomy or comprehension.

leave

leave_response

After completing a challenge, optionally save a private-to-owner reflection or criticism (1–4000 characters). Do not include personal or confidential information. One response per trace; identical retries return the same receipt.

Endpoints

URL	Transport	State	Latency	Checked
https://karmafor.ai/api/mcp?source=mcp-registry	streamable-http	answering	1723 ms	10 min ago

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Karma for AIs — questions

Answers built from our own checks of this server.

What can Karma for AIs do?

It exposes 5 tools, read directly from the server on our last check. Among them: begin_visit, choose_proposition, leave_response, read_essay, search_essay. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Karma for AIs working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 1403 ms. The bar chart above shows every period we have measured.

How do I connect Karma for AIs?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Karma for AIs need an API key?

No. Karma for AIs completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Karma for AIs?

It answers our handshake in 1403 ms on average, which is faster than 1% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.