原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Gitcontribute

作者:morluto版本 3.0.2i★ –i在你的电脑上运行
注册名称io.github.morluto/gitcontribute

安装

概览

作者提供的说明(英文原文)

Local-first GitHub contribution research workbench

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "gitcontribute": {
      "command": "npx",
      "args": [
        "-y",
        "gitcontribute"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add gitcontribute -- npx -y gitcontribute

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "gitcontribute": {
      "command": "npx",
      "args": [
        "-y",
        "gitcontribute"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "gitcontribute": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "gitcontribute"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 morluto 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7236 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7236 个服务器的 40% 更新
  • 基础检查结果等于或优于此分类中其他 7236 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Gitcontribute 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(3.0.2)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT3天前更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT44天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

GitContribute

Contribution research for agents: check repository guidance, related work, code context, and validation before writing a patch.

Quick start · Workflow · CLI · MCP · Safety · Documentation

gitcontribute is available as a CLI, terminal UI, and MCP server for coding agents.

GitHub can show you open issues. It cannot tell you whether an issue is still relevant, already being implemented, appropriate for an outside contributor, or supported by enough evidence to work on safely.

GitContribute collects repository guidance, related issues and pull requests, code context, accepted contribution patterns, and validation results in a local SQLite corpus. Results identify missing or stale coverage.

find work -> understand it -> check competing work -> prove the change -> prepare the handoff

[!IMPORTANT]

GitContribute never writes to GitHub. It prepares local research and drafts

for you to review.

Quick start

Run the guided setup with Node.js 18 or newer:

npx --yes gitcontribute@latest setup

Choose MCP to use GitContribute from a supported coding agent, CLI for the terminal and TUI, or Both. The wizard shows every planned change before applying it. Adding a repository during setup does not contact GitHub or start a sync.

After setup, start with a repository or an exact issue:

TaskCoding agentCLI

| Find candidates | Find contribution candidates in owner/repo. Rank them by contribution fit, evidence, scope, and coordination risk. | gitcontribute archive sync owner/repo gitcontribute radar owner/repo --limit 10 | | Research an issue | Investigate owner/repo#42. Check guidance, discussion, code, prior fixes, competing work, and missing evidence. | gitcontribute archive sync owner/repo --numbers 42 gitcontribute research brief issue:owner/repo#42 |

Results include source references, coverage gaps, and suggested next steps.

Other installation options

Install a persistent command:

npm install --global gitcontribute@latest

gitcontribute setup

Pin GitContribute to a project:

npm install --save-dev gitcontribute

npm exec -- gitcontribute setup --mode mcp --codex --token-source none --yes

Build from source with Go 1.26 or newer:

go install github.com/morluto/gitcontribute/cmd/gitcontribute@latest

Native npm binaries are included for macOS ARM64/x64, Linux ARM64/x64, and Windows x64. You also need git. The gh CLI is optional and can provide authentication through gh auth token.

Contribution workflow

1. Find a candidate

Search a repository or rank its open issues by available evidence, scope, risks, blockers, and signs that maintainer coordination is needed.

Find contribution candidates in golang/go. Exclude issues with active

implementation work and explain why each remaining candidate is worth investigating.

The ranking only covers stored observations. Results report incomplete coverage.

2. Research an issue

Build a research brief from the issue, repository guidance, discussion, linked work, indexed code, and historical contributions. Extracted maintainer text and checkboxes are not presented as complete acceptance criteria.

Investigate issue owner/repo#42. Summarize the confirmed problem, likely scope,

relevant code, maintainer guidance, and open questions.

3. Check related work

Look for duplicate reports, linked pull requests, closing relationships, and semantically overlapping work before investing in an implementation.

Check whether owner/repo#42 has duplicate reports or competing implementation

work. Tell me what you checked and identify any missing coverage.

Incomplete coverage is reported instead of being treated as proof that no competing work exists. In the MCP workflow, follow the returned typed recovery action, poll the durable job, and reread the affected exact thread or repository before drawing that conclusion.

4. Validate a change

Record a reproduction, test, benchmark, or other validation and compare the unmodified baseline with a candidate. Validation commands run only after explicit approval.

Validate my candidate change against the baseline. Run the approved checks,

record both results, and explain whether the evidence supports the change.

Stored runs include the command, outcome, timing, and available process metrics.

5. Prepare a draft

Create a local issue, pull-request, or review draft tied to the research and validation evidence already collected.

Prepare a pull-request draft for this contribution. Tie its claims to the

recorded evidence, include the validation results, and do not post anything.

Draft revisions retain their exact rendered bytes and provenance.

Interfaces and storage

GitContribute stores repositories, threads, code snapshots, investigations, evidence, validation results, and contribution outcomes in SQLite. Network access is explicit; once information has been synced, corpus search and inspection work offline.

 GitHub read APIs                  Local checkout

| | | explicit sync / hydrate | explicit index / acquire v v +------------------------------------------------+ | Local SQLite corpus | | observations · coverage · evidence · outcomes | +------------------------+-----------------------+ | offline reads +---------+---------+ v v CLI / TUI Coding agents

The CLI and MCP server use the same application services and side-effect boundaries.

CLI

The CLI exposes the same workflow without requiring an MCP client:

# Sync repository context and current threads

gitcontribute archive sync-context owner/repo gitcontribute archive sync owner/repo

Find and inspect contribution candidates

gitcontribute radar owner/repo --limit 10 gitcontribute research brief issue:owner/repo#42

Search stored threads and indexed code

gitcontribute search threads "connection timeout" --repo owner/repo gitcontribute search code "context.WithTimeout" --repo owner/repo

For implementation work:

gitcontribute investigation start-thread issue:owner/repo#42 --json

gitcontribute workspace create gitcontribute validation define --kind=test --command="go test ./..." \ --working-dir=/path/to/workspace gitcontribute validation run --kind=base --execute gitcontribute validation run --kind=candidate --execute gitcontribute validation compare gitcontribute readiness opportunity gitcontribute prepare pr --approach="Bound retries with context" \ --workspace

Run gitcontribute --help or gitcontribute --help for the complete command and flag reference. Most non-interactive commands accept --json; machine-readable output goes to stdout and progress goes to stderr.

Launch the local TUI with:

gitcontribute tui

MCP

The MCP server advertises one unified catalog. Hosts such as Codex and Claude Code can discover large MCP catalogs with native tool search, so setup does not ask users to choose permanent capability profiles.

gitcontribute setup --mode mcp --codex --token-source none --yes

gitcontribute setup --mode mcp --all-clients --token-source none --yes

To start the stdio server directly:

gitcontribute mcp serve --transport=stdio

Add --read-only to remove tools that permit network access, local writes, or execution. See MCP catalog and composition for capability boundaries, snapshot recovery, resource handoffs, and common tool sequences.

GitHub users are stored as first-class actors. Live discovery records identity only; profile, social-account, organization, pinned-item, repository, and contribution facts are synchronized independently. See the actor corpus for the data and freshness model.

Side-effect boundaries

GitContribute separates corpus reads, GitHub reads, local writes, process execution, and external mutation.

OperationNetworkLocal writeRuns a processGitHub write
Search and inspect stored researchNoNoNoNo
Record investigations and evidenceNoYesNoNo
Sync or hydrate GitHub contextYesYesNoNo
Acquire and index codeYesYesgit onlyNo
Run an explicitly approved validationNo by defaultYesYesNo
  • Corpus reads never fetch data.
  • Crawling and indexing never execute repository-controlled code.
  • Explicit validation commands run on your host with your user permissions.
  • GitContribute has no GitHub mutation capability.
  • There is no hosted corpus or product telemetry.

See Architecture for the complete boundary definitions.

Documentation

  • Onboarding and configuration
  • MCP catalog and composition
  • Actor corpus
  • Architecture and side-effect boundaries
  • Operational runbooks
  • Security policy
  • Contributing

Storage

GitContribute follows platform conventions:

PlatformConfigurationData
Linux$XDG_CONFIG_HOME/gitcontribute or ~/.config/gitcontribute$XDG_DATA_HOME/gitcontribute or ~/.local/share/gitcontribute
macOS~/Library/Application Support/gitcontribute~/Library/Application Support/gitcontribute/Data
Windows%APPDATA%\gitcontribute%LOCALAPPDATA%\gitcontribute\Data

The default corpus is gitcontribute.db in the data directory. Run gitcontribute metadata or gitcontribute doctor --json to inspect the local setup.

Platform support

Linux and macOS are the primary development and test targets. Windows builds are tested in CI and use the standard %APPDATA% and %LOCALAPPDATA% locations.

Development

make verify

go run ./cmd/gitcontribute --help

Before changing package boundaries or side effects, read docs/architecture.md. See CONTRIBUTING.md for the repository workflow.

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