Ross ROSS = Recommend OSS · open-source software intelligence for agents

nicobailon/pi-mcp-adapter

Token-efficient MCP adapter for Pi coding agent observed · 2026-08-28

github.com/nicobailon/pi-mcp-adapter · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

82/100

  • Activity 99
  • Release rhythm 99
  • Longevity 16
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 1
  • age_days: 226
  • days_rel: 7
  • days_push: 7
  • n_releases_24m: 58

Full methodology

Adoption not part of the score

1332 stars · 292 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A token-efficient MCP (Model Context Protocol) adapter extension for the Pi coding agent that exposes a single lightweight proxy tool (~200 tokens) instead of hundreds of verbose tool definitions. It discovers MCP tools on demand, starts servers lazily only when used, and can import existing MCP configs from hosts like Cursor, Claude Code, and Codex.

Use cases

  • use MCP servers with a coding agent without burning context window tokens
  • reduce the token cost of verbose MCP tool definitions
  • connect MCP tools to the Pi coding agent
  • load MCP servers on demand only when tools are actually used
  • import existing MCP configs from Cursor, Claude Code, or Codex
  • access databases, browsers, and APIs through a single proxy tool

When to choose

  • You use the Pi coding agent and want MCP server access without bloating your context window
  • You connect multiple MCP servers and their combined tool definitions consume too many tokens
  • You want lazy server startup and on-demand tool discovery instead of always-loaded tools
  • You want to reuse existing MCP configuration files across coding agents

When to avoid

  • You don't use the Pi coding agent, since this is a Pi-specific extension
  • You need native MCP tool schemas exposed directly to the model rather than via a proxy tool
  • You rely on MCP features that require eagerly loaded, fully described tools

Facets

plugin · maturity active

mcp developer-tools artificial-intelligence large-language-models developer-tools cli cross-platform token-efficiency context-window coding-agent-extension proxy-tool lazy-loading on-demand-tool-discovery config-import model-context-protocol ai-agents command-line nodejs

2 sources

Member repositories

RepositoryRoleHealth v2
nicobailon/pi-mcp-adaptermain82

For agents

markdown · JSON · MCP: product_card(name="nicobailon/pi-mcp-adapter")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem