Farpy

io.github.Mangomunchrv1.1.0更新于 Sep 29, 2026

FARPY routes GPU workloads to qualified compute and returns verified artifacts and receipts.

已验证Streamable HTTP可网页运行Other

安装

在 SourceWeft 中

打开控制台中的 Farpy，将其添加到工作区。
为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。远程服务在工作区中配置后即可从网页运行时运行。

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "farpy": {
      "type": "http",
      "url": "https://api.farpy.com/mcp"
    }
  }
}

README

FARPY

Verified GPU compute for humans, applications, and agents.

FARPY accepts bounded GPU workloads, executes them asynchronously, delivers completed artifacts, and issues verifiable execution receipts.

Public workload

Blender Cycles GPU rendering — $0.01 per completed frame.

Current public contract:

Workload: Blender Cycles GPU
Input: .blend
Execution: asynchronous
Output: downloadable artifact
Integrity: SHA-256 artifact verification
Evidence: FARPY execution receipt
Transparency: public proof surfaces
Status: LIVE_PUBLIC_ALPHA

Additional workloads are under development and are not currently public.

Agent / API access

MCP: https://api.farpy.com/mcp
API: https://api.farpy.com/v1
OpenAPI 3.1: https://farpy.com/openapi.json
Quickstart: https://farpy.com/api/quickstart/
Capabilities: https://api.farpy.com/v1/capabilities
Pricing: https://api.farpy.com/v1/pricing
Limits: https://api.farpy.com/v1/limits

Typical lifecycle:

discover → price → submit → JOB-ID → execute → download → verify receipt

Agent discovery

Official MCP Registry: https://registry.modelcontextprotocol.io/
Smithery: https://smithery.ai/servers/mangomunchr/farpy
Glama: https://glama.ai/mcp/servers/Mangomunchr/farpy-public
PulseMCP: https://www.pulsemcp.com/servers
Agent manifest: https://farpy.com/agents.json
LLM context: https://farpy.com/llms.txt

Public surfaces

Website: https://farpy.com
Proof: https://farpy.com/proof/
BenchMork: https://farpy.com/benchmark
Research: https://farpy.com/labs/research
Security: SECURITY.md

Local MCP / Glama

A local stdio MCP server for Cursor, Claude Desktop, Glama, and other MCP clients lives in mcp/.

It is a thin public client over FARPY's existing Job API. It does not include production server code and never logs FARPY_AGENT_TOKEN.

Build and run

Environment (see .env.example):

FARPY_AGENT_TOKEN — Job API farpy_agent_ key. Required for every tool. The server fails closed if it is missing.
FARPY_API_BASE — API origin. Default: https://api.farpy.com

Example local client config:

json

{  "mcpServers": {    "farpy": {      "command": "node",      "args": ["/absolute/path/to/farpy-public/mcp/dist/mcp-server.js"],      "env": {        "FARPY_AGENT_TOKEN": "farpy_agent_..."      }    }  }}

{  "mcpServers": {    "farpy": {      "command": "node",      "args": ["/absolute/path/to/farpy-public/mcp/dist/mcp-server.js"],      "env": {        "FARPY_AGENT_TOKEN": "farpy_agent_..."      }    }  }}

Public MCP V1 tools: inspect, quote, start, status, download, receipt. inspect and quote do not spend. start is the spend boundary and requires legal_acceptance=FARPY_LEGAL_V1.

Scope

FARPY is currently a public-alpha service.

Public capabilities, pricing, and limits are authoritative. Historical research, internal tests, and experimental workloads do not imply current public availability.

来源：README.md，提交 223f9da

工具

工具元数据尚未被收录。

版本历史

v1.1.0最新Sep 16, 2026