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f2g-telco

v0.2.5

Published

CLI tool to supercharge AI coding environments — installs MCPs, skills, agents, and memory pipelines

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Links

Git

Maintainers

boutchouangboutchouang

Keywords

aimcpclicopilotollamanvidia-nimcrushkiroagentsskills

Readme

F2G-Telco

CI License: MIT Node 18+

CLI to set up a fully configured AI coding environment in one command—MCPs, providers, skills, orchestrators, and inventories for Crush and Kiro.

Install

npx f2g-telco init

What You Get

  • 13 MCP servers for memory, knowledge, reasoning, browser automation, diagrams, GitHub, databases
  • Curated skills from multiple sources with orchestrator templates
  • Provider-agnostic configs for Copilot, Ollama, NVIDIA NIM, Google AI Studio, and any OpenAI-compatible API
  • Complete tool wiring: MCPs, providers, models, permissions, LSPs, orchestrator agent, INVENTORY.md

Why F2G-Telco vs. Manual Setup

| Step | f2g-telco | Manual setup | |------|-----------|--------------| | Install MCP servers | Auto-installs with user prefix and fallbacks | Repeated npm/pip commands, sudo issues | | Tool config | Writes full Crush/Kiro configs (MCPs, providers, models, permissions, LSP) | Hand-edit JSON with multiple schemas | | Skills & orchestrator | Clones, symlinks, and wires orchestrator templates | Manual git clone + path wiring | | Provider keys | Guided boxed prompts with skip/retry | Ad hoc env collection | | Inventory | Generates INVENTORY.md for agents | Manual docs | | Recovery | Verbose mode + doctor checks | Debug on your own |

Command Reference

| Command | Description | |---------|-------------| | f2g-telco init | Interactive setup wizard (tools, providers, MCPs, skills, configs) | | f2g-telco add <mcp> | Install and configure a single MCP by id | | f2g-telco remove <mcp> | Uninstall and remove a single MCP by id | | f2g-telco list [--mcps|--providers|--skills] | Show available components and installed status | | f2g-telco update | Pull latest registries and refresh configs | | f2g-telco doctor | Health check (Node, git, PATH, MCP binaries) |

Providers

| Provider | Free? | Models | Description | |----------|-------|--------|-------------| | GitHub Copilot | Subscription | Claude Opus/Sonnet/Haiku, GPT, Gemini, Grok | Full catalog via Copilot | | Ollama | ✅ Free | Qwen3, Llama, Mistral, etc. | Local models, private | | NVIDIA NIM | ✅ Free tier | Llama 3.3 70B, DeepSeek R1, Kimi K2.5 | 1000 free credits | | Google AI Studio | ✅ Free tier | Gemini 2.5 Pro/Flash | Free key from aistudio.google.com | | Groq | ✅ Free tier | Llama 3.3 70B, Llama 3.1 8B | Ultra-fast inference | | Cerebras | ✅ Free tier | Llama 3.3 70B, Llama 3.1 8B | Fastest inference, 30 req/min | | OpenAI-Compatible | Varies | Any compatible model | LM Studio, vLLM, custom endpoints |

MCP Servers Included

| Server | Category | Free | Description | |--------|----------|------|-------------| | mem0 | Memory | ✅ | Long-term memory across sessions | | contextgraph | Memory | ✅ | Shared memory with provenance + entities | | memory | Memory | ✅ | Knowledge graph — entities and relations | | context7 | Knowledge | ✅ | Up-to-date library documentation | | sequential-thinking | Reasoning | ✅ | Multi-step reasoning with branching | | filesystem | Core | ✅ | File operations | | fetch | Core | ✅ | HTTP requests | | github | Dev | ✅ | PRs, issues, commits | | gitnexus | Dev | ✅ | Codebase knowledge graph | | postgresql | Dev | ✅ | Database queries | | playwright | Testing | ✅ | Browser automation, E2E | | mermaid | Docs | ✅ | Diagram rendering | | notion | Productivity | ✅ | Notion pages and databases |

What Gets Configured

Crush

  • MCP servers with env vars
  • Providers and model mappings (large/small)
  • Permissions (38+ tools auto-approved)
  • LSP servers (pyright, typescript-language-server)
  • Skills paths, orchestrator agent, metrics/notifications off

Kiro

  • MCP servers with autoApprove arrays
  • Env vars per MCP, orchestrator settings

Contributing

Pull requests are welcome. Please run npm run build and npm test before submitting.

License

MIT