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Fractal Process Intelligence

Fractal Process Intelligence

Remote
fractalinfinity.ioData & Analytics0Updated 9w ago

About Fractal Process Intelligence

Fractal Process Intelligence is a research-alpha recorder for teams and researchers who want to inspect how AI-assisted research unfolded. It captures explicit process artifacts and compiles them into a hosted X-Ray, without running models or inspecting hidden chain-of-thought.

Key features

  1. 01Record participating agents
  2. 02Capture sources and lineage
  3. 03Record claims and uncertainty
  4. 04Track disagreement and tool use
  5. 05Compile a hosted process X-Ray

Use cases

  1. 01Review evidence behind a research answer
  2. 02Inspect sources and claims in a run
  3. 03Compare the process record with its final answer

MCP support

The MCP server exposes recorder tools for starting and finishing runs and recording agents, sources, claims, and tool-call evidence. It records only artifacts explicitly sent through these tools.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.fractalinfinity.io/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

6

This tool takes no parameters.

Details

From the project README

Fractal Process Intelligence — 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

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 → X-Ray URL

Claude Desktop (Windows) alpha setup

  1. Claude Desktop → Settings → Developer → Edit Config
  2. Merge the MCP entry below (do not wipe other config keys).
  3. Save.
  4. Fully quit Claude (system tray → Quit).
  5. Reopen Claude.
  6. Settings → Developer should show fractal-process-intelligence running.
{
  "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:

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 — see LICENSE.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.