Pipe (SPR) MCP Server

AI-native runtime with built-in MCP server. 232 builtins, AI pipelines, RAG, single ~8 MB binary.

What does this entry provide?

Pipe (SPR) MCP Server is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 51/100. 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. No automated install command is listed; check the repository for manual setup instructions. Review the last-pushed date and repository status before adding Pipe (SPR) 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: 51/100
Install method: manual
Repo: MachuraHarry/pipe
Repo updated: Aug 17, 2026

Install command

See source docs

Install method: manual

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Aug 17, 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": "2026-08-17T10:32:41.456293Z",
      "publishedAt": "2026-08-17T10:32:41.456293Z",
      "statusChangedAt": "2026-08-17T10:32:41.456293Z"
    }
  },
  "server": {
    "name": "io.github.MachuraHarry/pipe",
    "title": "Pipe (SPR) MCP Server",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "1.0.0",
    "packages": [
      {
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "28b23439e384327289625d518c87fa018e36af0f43b7b82223301127752e7d78",
        "identifier": "https://github.com/MachuraHarry/pipe/releases/download/v1.0.0/pipe-server-linux-amd64.mcpb",
        "registryType": "mcpb"
      },
      {
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "ecd209738866c795d985e0522f79fa47d5ecce76d323586d8cf457199ef7d9aa",
        "identifier": "https://github.com/MachuraHarry/pipe/releases/download/v1.0.0/pipe-server-linux-arm64.mcpb",
        "registryType": "mcpb"
      },
      {
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "5041a5d36f224249b135d3dfd23391ddf85bf18d654f14d7b7b63e681e17f12e",
        "identifier": "https://github.com/MachuraHarry/pipe/releases/download/v1.0.0/pipe-server-darwin-amd64.mcpb",
        "registryType": "mcpb"
      },
      {
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "06ed7fb545264c2bbbb8df0afbd78b064138e68d9364dd3c689bad5ae7c9fde1",
        "identifier": "https://github.com/MachuraHarry/pipe/releases/download/v1.0.0/pipe-server-darwin-arm64.mcpb",
        "registryType": "mcpb"
      },
      {
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "9edb7d237e58cd3710fe8966b6106c5ff7fd5a6f3154d143de6a8e2ce1f08583",
        "identifier": "https://github.com/MachuraHarry/pipe/releases/download/v1.0.0/pipe-server-windows-amd64.mcpb",
        "registryType": "mcpb"
      }
    ],
    "repository": {
      "url": "https://github.com/MachuraHarry/pipe",
      "source": "github"
    },
    "description": "AI-native runtime with built-in MCP server. 232 builtins, AI pipelines, RAG, single ~8 MB binary."
  }
}

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