io.github.MPP32/mpp32-mcp-server

Payment layer for AI agents. One MCP, five protocols, thousands of paid APIs your agent can call.

What does this entry provide?

io.github.MPP32/mpp32-mcp-server is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding io.github.MPP32/mpp32-mcp-server to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 67/100
Install method: npm
Repo: MPP32/MPP32
Repo updated: May 10, 2026

Install command

npx -y mpp32-mcp-server@1.1.2

Install method: npm

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

May 10, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-05-10T22:37:10.625604Z",
      "publishedAt": "2026-05-10T22:37:10.625604Z",
      "statusChangedAt": "2026-05-10T22:37:10.625604Z"
    }
  },
  "server": {
    "name": "io.github.MPP32/mpp32-mcp-server",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "1.1.2",
    "packages": [
      {
        "version": "1.1.2",
        "transport": {
          "type": "stdio"
        },
        "identifier": "mpp32-mcp-server",
        "registryType": "npm",
        "registryBaseUrl": "https://registry.npmjs.org",
        "environmentVariables": [
          {
            "name": "MPP32_AGENT_KEY",
            "format": "string",
            "isSecret": true,
            "description": "Session key from https://mpp32.org/agent-console. Unlocks the full federated catalog and attributes every call to your dashboard. Optional in legacy mode where only native services are reachable."
          },
          {
            "name": "MPP32_SOLANA_PRIVATE_KEY",
            "format": "string",
            "isSecret": true,
            "description": "Solana private key used to sign x402 USDC payments locally. Only needed when calling paid services that prefer x402. Stays on your machine, never sent to MPP32 servers."
          },
          {
            "name": "MPP32_PRIVATE_KEY",
            "format": "string",
            "isSecret": true,
            "description": "Ethereum L2 private key used to sign Tempo pathUSD payments locally. Optional fallback for paid services when x402 is not available. Stays on your machine, never sent to MPP32 servers."
          },
          {
            "name": "MPP32_API_URL",
            "format": "string",
            "default": "https://mpp32.org",
            "description": "Override the API base URL for custom deployments. Defaults to https://mpp32.org."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/MPP32/MPP32",
      "source": "github",
      "subfolder": "mcp-server"
    },
    "websiteUrl": "https://mpp32.org",
    "description": "Payment layer for AI agents. One MCP, five protocols, thousands of paid APIs your agent can call."
  }
}

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