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meta-stamp-pockets

meta-stamp-pockets

Remote
metastampv3-production.up.railway.appFinance0Updated 13w ago

About meta-stamp-pockets

Meta-Stamp Pockets is a licensing and settlement server for creators who make content available to AI agents. It provides provenance-tracked content and records both paid access and denied requests.

Key features

  1. 01Search licensed creator content
  2. 02Retrieve provenance-verified content
  3. 03Creator-set per-item pricing
  4. 04Immutable access event ledger
  5. 05Register content by upload or YouTube URL

Use cases

  1. 01Find licensed creator material for an agent
  2. 02Retrieve content with provenance records
  3. 03Record denied access as a licensing opportunity

MCP support

The MCP server exposes search_pockets, pull_content, and list_pockets to MCP clients. A Bearer token is required.

Configuration

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

Endpointhttps://metastampv3-production.up.railway.app/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

3
ParameterTypeRequiredDescription
querystringNoOptional natural language focus query used to narrow or contextualize the returned content within the selected pocket.
pocket_idstringYesThe 24-character hex identifier of the content pocket to pull from. Obtain this from search_pockets or list_pockets results.

Details

From the project README

Meta-Stamp Pockets

Attribution and settlement infrastructure for AI agent access.

AI agents consume creator content at machine speed. Meta-Stamp Pockets is the payment and licensing rail at the point of access: every request either settles payment to the creator or generates a timestamped denial record — a documented licensing opportunity, declined. License, or leave a paper trail.

What It Does

  • Serves licensed, provenance-tracked creator content to AI agents via the Model Context Protocol (MCP) and HTTP 402
  • Per-pull pricing set by the creator — $1.00 default, configurable per asset
  • 85% of every pull goes to the creator, automatically
  • Every access attempt lands in an immutable event ledger — paid pulls settle, refusals leave evidence

How Content Gets Protected

Two registration paths, each matched to how content arrives:

  • Direct upload — the file is perceptually fingerprinted (audio spectral analysis, image/video hashing, text signatures) and then discarded. The fingerprint travels; the file stays with the creator.
  • YouTube URL — ownership is verified through OAuth channel connection; the pocket carries metadata, transcript, and the access ledger. YouTube remains the canonical host.

Three protection layers are filed IP (12 U.S. provisional patent filings, sole inventor). Two run live today: multi-modal fingerprinting and the immutable access ledger. Embedded watermarking is the roadmap layer.

MCP Server

Connect AI agents to Meta-Stamp Pockets via the Model Context Protocol:

https://metastampv3-production.up.railway.app/mcp

Available tools:

  • search_pockets — search licensed creator content by keyword
  • pull_content — retrieve provenance-verified content from a Pocket
  • list_pockets — list all available Pockets, optionally filtered by creator

Authentication: Bearer token required. Register at https://metastampv3-production.up.railway.app/docs

Live Demo

https://metastampv3-production.up.railway.app/demo

API Docs

https://metastampv3-production.up.railway.app/docs

For Creators

If you're a creator interested in licensing your content through Meta-Stamp Pockets, contact [email protected].

For Enterprise

If you represent an AI platform interested in licensing access to the Meta-Stamp creator network, contact [email protected].


Meta-Stamp, LLC · Simi Valley, CA · Patent pending

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.