Gitcontribute

Name: Gitcontribute
Author: morluto

by morlutoversion 3.0.2i★ –iRuns on your computer

Registry nameio.github.morluto/gitcontribute

Install

Overview

Description from the maker (original English)

Local-first GitHub contribution research workbench

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add gitcontribute -- npx -y gitcontribute

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account morluto, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7230 servers in this category
Published to the registry more recently than 40% of the other 7230 servers in this category
Basic checks equal to or better than 100% of the other 7230 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Gitcontribute safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (3.0.2) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago

Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated 44 days ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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:

Task	Coding agent	CLI

| 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.

Operation	Network	Local write	Runs a process	GitHub write
Search and inspect stored research	No	No	No	No
Record investigations and evidence	No	Yes	No	No
Sync or hydrate GitHub context	Yes	Yes	No	No
Acquire and index code	Yes	Yes	`git` only	No
Run an explicitly approved validation	No by default	Yes	Yes	No

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:

Platform	Configuration	Data
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.

Gitcontribute

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

GitContribute

Quick start

Contribution workflow

1. Find a candidate

2. Research an issue

3. Check related work

4. Validate a change

5. Prepare a draft

Interfaces and storage

CLI

Find and inspect contribution candidates

Search stored threads and indexed code

MCP

Side-effect boundaries

Documentation

Storage

Platform support

Development