io.github.Mangomunchr/farpy
FARPY routes GPU workloads to qualified compute and returns verified artifacts and receipts.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http farpy 'https://api.farpy.com/mcp'
{
"mcpServers": {
"farpy": {
"type": "http",
"url": "https://api.farpy.com/mcp"
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
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
cd mcp
npm install
npm run build
npm test
node dist/mcp-server.js
Environment (see .env.example):
FARPY_AGENT_TOKEN— Job APIfarpy_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:
{
"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.
Questions fréquentes
Qu'est-ce que io.github.Mangomunchr/farpy ?
FARPY routes GPU workloads to qualified compute and returns verified artifacts and receipts.
Comment installer io.github.Mangomunchr/farpy ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http farpy 'https://api.farpy.com/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour io.github.Mangomunchr/farpy ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
io.github.Mangomunchr/farpy est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient io.github.Mangomunchr/farpy ?
Il est publié par Mangomunchr. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.