What is the pi-go MCP server?

dimetron/pi-go — Go implementation of AI coding agent AgentRank score: 75.5/100.

Is the pi-go MCP server actively maintained?

The pi-go MCP server was last committed 1mo ago and has 9 contributors. Issue health: 56% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

pi-go MCP Server

Name: dimetron/pi-go
Rating: 4.0 (1 reviews)
Author: dimetron

dimetron/pi-go

Score: 75.5 Rank #2996 MCP Server

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Go implementation of AI coding agent

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Overview

dimetron/pi-go is a Go tool licensed under MIT. Go implementation of AI coding agent Topics: acp, ai-agent, cli, coding-agent, go, golang, llm, mcp, terminal, tui, pi.

Ranked #2996 out of 24846 indexed tools.

Ecosystem

Go MIT

acpai-agentclicoding-agentgogolangllmmcpterminaltuipi

Score Breakdown

Stars 15% 210

210 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 56%

15/27 issues closed → decent issue management

Contributors 10% 9

9 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 29

Description Brief

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 33 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 210
Forks: 29
Open Issues: 12
Closed Issues: 15
Contributors: 9
Dependents: —
Language: Go
License: MIT
Last Commit: 1mo ago

Matched Queries

topic:mcp

From the README

# pi-go

A terminal-based coding agent built on [Google ADK Go](https://adk.dev/). It connects to multiple LLM providers, runs
sandboxed tools, integrates LSP, and ships with a process-based subagent system.

## Features

- **Multi-provider LLM** — Claude (Anthropic), GPT/O-series (OpenAI), Gemini (Google), Mistral, Grok (xAI), Azure OpenAI, OpenRouter, OpenCode, and Ollama (local or cloud) for models
- **Sandboxed tools** — read, write, edit, shell, grep, find, tree, and git operations. All tools are restricted to the project directory via `os.Root`.
- **Interactive TUI** — Bubble Tea v2 with Markdown rendering (Glamour), slash commands, and theming
- **Session persistence** — JSONL append-only event logs with branching, compaction, and resume
- **Model roles** — Named configurations (default, smol, slow, plan, commit) selectable via CLI flags
- **Subagents** — Process-based multi-agent system with types: explore, plan, designer, reviewer, task, quick_task
- **LSP** — JSON-RPC client

Read full README on GitHub →