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Fractal Process Intelligence

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Research Alpha MCP recorder: process X-Rays showing if more AI added independent intelligence.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "fractal-process-intelligence": {
      "command": "npx",
      "args": [
        "-y",
        "fractal-process-intelligence"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Fractal Process Intelligence β€” Research Alpha

Fractal measures whether additional AI actually created additional intelligence.

Fractal is not trying to make AI smarter. It observes research process and produces an X-Ray of what a polished final answer may hide.

Primary question: Did additional AI actually create additional independent intelligence?

This repository is the public distribution surface for the Fractal Research MCP (recorder/observer). The live remote endpoint is already hosted; this repo documents how to connect and give feedback.

Research Alpha: This is an active research experiment, not a validated commercial product.


What it does

Fractal Process Intelligence MCP is recorder/observer only.

Compatible AI clients can record observable research-process artifacts:

  • participating agents
  • meaningful sources
  • claims
  • uncertainty
  • disagreement
  • tool usage

Then finish_run compiles a process X-Ray (hosted report URL).

Public product page: fractalinfinity.io/research-lab.html
Sample X-Ray: fractalinfinity.io/report/sample.html


What it does NOT do

  • Call AI models (no Anthropic / OpenAI / Gemini inference)
  • Buy model inference on your behalf
  • Require provider API keys
  • Inspect hidden chain-of-thought
  • Automatically spawn agents
  • Estimate Claude/OpenAI billing or token dollar cost

Health check advertises "inference":"none".


Public MCP endpoint

text
https://mcp.fractalinfinity.io/mcp

Health: https://mcp.fractalinfinity.io/health

Current recorder tools

ToolPurpose
fractal_start_runOpen a run
fractal_record_agentRecord agent identity / optional metadata
fractal_record_sourceRecord a cited source + lineage
fractal_record_claimRecord claim stance
fractal_record_toolRecord tool-call evidence
fractal_finish_runFinalize β†’ X-Ray URL

Claude Desktop (Windows) alpha setup

  1. Claude Desktop β†’ Settings β†’ Developer β†’ Edit Config
  2. Merge the MCP entry below (do not wipe other config keys).
  3. Save.
  4. Fully quit Claude (system tray β†’ Quit).
  5. Reopen Claude.
  6. Settings β†’ Developer should show fractal-process-intelligence running.
config.json
{
  "mcpServers": {
    "fractal-process-intelligence": {
      "command": "C:\\Program Files\\nodejs\\npx.cmd",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.fractalinfinity.io/mcp"
      ]
    }
  }
}

See also: examples/claude-desktop.mcp.fragment.json

Microsoft Store builds of Claude may store config under a package LocalCache path; prefer Edit Config so Claude opens the file it actually reads. Use the full npx.cmd path on Windows.


Example research instruction

Paste into a new research conversation after connecting:

text
Use Fractal Process Intelligence to record this research run.

Record the participating agents, meaningful sources, important claims,
uncertainty, disagreement and significant tool usage.

Finish the run and return the Fractal X-Ray URL.

Do not interpret the X-Ray for me before I open it.

Then ask your normal research question. Read the AI’s final answer first. Open the X-Ray second.


Privacy / security boundary

Fractal records only artifacts explicitly sent through its MCP tools.

It does not automatically record every Claude (or other) conversation. For normal chats, do not start a Fractal run / do not invoke its tools.


Feedback (the research question)

Open a GitHub Issue or reply in discussions.

Please answer:

  1. Did the X-Ray reveal something consequential you would not have known from the final AI answer alone?
  2. Would you want this attached to your normal research or agent workflow?

Optional: what was confusing or misleading?


Links

ResourceURL
Research Labhttps://fractalinfinity.io/research-lab.html
Sample X-Rayhttps://fractalinfinity.io/report/sample.html
MCP endpointhttps://mcp.fractalinfinity.io/mcp
Healthhttps://mcp.fractalinfinity.io/health

License

MIT β€” see LICENSE.

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Fractal Process Intelligence

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "fractal-process-intelligence": { "command": "npx", "args": ["-y", "Fractal Process Intelligence"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
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Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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