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Git.Top

by haocn-opsversion 0.1.1i★ –iRuns in the cloud
Registry nameio.github.haocn-ops/git-top

Install

Overview

Description from the maker (original English)

Evidence-backed open-source project search, recommendations, alternatives, and comparisons.

PopNx MCP’s three pillars

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

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 in the cloud
  • Transport: Streamable HTTP
  • Category: Developer tools

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://git.top/mcp/core/source/mcp-registry?source=mcp-registry

Run this in your terminal

claude mcp add --transport http git-top 'https://git.top/mcp/core/source/mcp-registry?source=mcp-registry'

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "git-top": {
      "url": "https://git.top/mcp/core/source/mcp-registry?source=mcp-registry"
    }
  }
}

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": {
    "git-top": {
      "type": "http",
      "url": "https://git.top/mcp/core/source/mcp-registry?source=mcp-registry"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://git.top/mcp/core/source/mcp-registry?source=mcp-registry

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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 haocn-ops, 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Developer toolsi

  • More stars than 0% of the other 1390 servers in this category
  • Published to the registry more recently than 61% of the other 1390 servers in this category
  • Basic checks equal to or better than 100% of the other 1390 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 Git.Top 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 34 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

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

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 3 days ago
Install

Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 15 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months 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.

Git.Top

The Knowledge Graph of Open Source.

GitHub provides code. Git.Top provides knowledge.

Git.Top turns unstructured GitHub repository data into structured project knowledge that humans and AI agents can search, compare, recommend, score, and call through REST APIs or MCP tools.

The Cloudflare Worker is the only product surface. It serves the human HTML pages, REST APIs, MCP endpoint, GitHub sync, and D1-backed knowledge data.

Production: git.top

Repository: github.com/haocn-ops/git-top

Connect An Agent

Use the focused MCP profile for the shortest first connection:

codex mcp add git-top --url https://git.top/mcp/core

claude mcp add --transport http --scope user git-top https://git.top/mcp/core

Then ask your agent:

Use Git.Top to recommend three open-source browser-agent projects for Docker, then cite the data source and one caveat for each.

Full setup, client status, and REST alternatives: git.top/connect.

Dated compatibility evidence and the distinction between configuration verification and real-client support: git.top/compatibility.

Registry-ready copy, profiles, privacy boundaries, campaign links, and submission status: git.top/distribution.json. An installable REST-first Agent Skill is available at skills/git-top-project-selection.

What Git.Top Does

  • Discover open-source AI projects by category, deployment target, and use case.
  • Compare projects with decision summaries, ranking signals, and tradeoffs.
  • Find alternatives with similarity signals and comparison-ready shortlists.
  • Explore project relationships across alternatives, related projects, dependencies, deployments, and use cases.
  • Explain Git.Top Score, Agent Score, quality signals, risk flags, and evidence.
  • Serve agent-native REST, OpenAPI, llms.txt, llms-full.txt, and MCP surfaces.

Product Surfaces

  • /discover - browse AI agents, MCP servers, RAG, browser automation, and AI IDE projects.
  • /recommend - turn use cases and constraints into explainable project shortlists.
  • /compare - compare project shortlists.
  • /alternatives and /alternatives/:project - find replacement candidates.
  • /graph/:project - inspect project knowledge graphs.
  • /score/:project - explain project score dimensions.
  • /atlas - explore ecosystem maps.
  • /api/* - consume structured knowledge.
  • /mcp - connect agents through MCP.
  • /mcp/core - connect a focused five-tool MCP profile for first-time use.

Architecture

GitHub API

-> Git.Top ETL -> Cloudflare D1 -> Worker pages, REST APIs, MCP tools, sync jobs, and quality gates

The project intentionally does not ship a separate Next.js app. Keeping Worker-rendered pages, APIs, sync, D1 access, OpenAPI, and MCP in one runtime avoids split product behavior.

Documentation

  • Coding agent guide
  • AI agent adoption and distribution plan 2026-07-31
  • Agent client compatibility
  • Agent distribution package
  • Agent-native assessment and optimization plan
  • Competitive analysis and 90-day optimization plan 2026-09-02
  • Agent function test and improvement plan 2026-07-30
  • Production freshness optimization plan 2026-07-14
  • Site assessment and improvement plan 2026-07-12
  • Automated operations and agent friendliness plan 2026-07-12
  • Agent task evaluation
  • Agent-native optimization implementation report
  • Agent-native optimization PR summary
  • Git.Top 2.0 product upgrade plan
  • Next stage plan
  • Agent friendliness optimization plan
  • Deployment decision
  • REST API guide
  • MCP guide
  • MCP tool behavior examples
  • MCP conformance matrix
  • SDK-oriented examples
  • Adoption analytics runbook
  • GRP examples
  • Agent quickstart
  • MailAgents agent workflow article
  • Site assessment 2026-06-21
  • Production runbook
  • Operations and data governance plan
  • Public trust benchmark: /benchmark and /api/benchmark
  • Data coverage report
  • Seed live check report
  • Eval quality report
  • Local eval report
  • Ranking experiments
  • Quality hardening plan
  • Post-V1 improvement plan
  • Contributing
  • Security
  • License

Development

For maintenance agents, start with AGENTS.md. It summarizes the runtime, high-risk areas, generated data, and validation tiers.

Fast checks:

pnpm docs:validate

pnpm check

Agent surface checks:

pnpm api:validate

pnpm mcp:validate pnpm eval:explanations pnpm check

Data and local D1 checks:

pnpm db:execute

pnpm db:seed pnpm db:integration

Release checks:

pnpm validate

pnpm release:check

Common development commands:

pnpm install

pnpm db:execute pnpm db:seed pnpm seed:validate pnpm seed:coverage pnpm seed:candidates pnpm seed:live-check -- --limit 20 pnpm seed:live-check -- --offset 20 --limit 20 node scripts/run-governance-task.mjs daily-production-health pnpm knowledge:validate pnpm db:seed-sql pnpm db:validate pnpm db:integration pnpm core:validate pnpm api:validate pnpm mcp:validate pnpm eval:quality pnpm eval:explanations pnpm eval:local pnpm eval:ranking pnpm eval:agent-tasks pnpm smoke:prod pnpm release:check pnpm check pnpm validate pnpm quality:check pnpm dev

/api/health reports D1 availability and the current project count. Run pnpm db:execute and pnpm db:seed before local API checks when the D1 state is empty. pnpm db:execute prepares the local D1 schema and backfills optional columns that may be missing from older local databases. seed.sql is generated from hand-authored seed knowledge and generated eval fixtures; run pnpm db:seed-sql after changing those fixtures. pnpm db:integration seeds local D1, starts a temporary local Worker, and validates the D1-backed HTTP API path.

pnpm eval:quality is the CI-safe recommendation and classification regression gate. pnpm eval:explanations checks that agent-facing responses include source metadata, classification evidence, quality signal confidence, recommendation reasons/tradeoffs, health count semantics, and GRP reasoning. pnpm eval:agent-tasks gates complete trust, fallback, pagination, evidence, comparison, change-feed, feedback, multilingual, typo, and alias workflows and writes docs/AGENT_TASK_EVAL.md. pnpm eval:local runs broader generated category and deployment probes across the fixture-backed project set and writes docs/EVAL_LOCAL.md; use it before tuning ranking heuristics, but keep it out of the default validation path. pnpm eval:ranking compares offline ranking strategies in docs/RANKING_EXPERIMENTS.md. Runtime search keeps exact-intent ranking by default; broad scoped discovery can opt into ranking=browse.

pnpm seed:candidates discovers seed expansion candidates from live GitHub organization metadata and writes docs/SEED_CANDIDATES.md. Treat it as a review queue, not an automatic append step; candidates still need live-check and category review before entering data/seed-repositories.json.

pnpm smoke:prod validates the deployed Worker at https://git.top and requires D1-backed responses. Use pnpm smoke:prod -- --base-url http://localhost:8787 for a local or preview Worker, or add --allow-seed only when intentionally checking seed fallback behavior.

pnpm quality:check validates the production /api/quality endpoint at https://git.top by default, requires D1-backed metadata, and uses a default minimum score of 90. Use --base-url, --target, --min-score, or --allow-seed for preview and fallback checks.

Operations and data governance are exposed through /operations, /api/governance/summary, and /api/governance/runs. The Cloudflare Worker cron runs hourly maintenance plus daily, weekly, biweekly, and monthly governance checks, then records results in governance_runs.

pnpm release:check runs the public V1 release gate: local validation, local D1 integration, production quality, and production smoke. Use pnpm release:check -- --skip-prod-smoke only when validating a build before the production deployment exists; it skips production-only checks. Use pnpm release:check -- --base-url to run the same gate against a Worker preview or local origin.

When updating an existing D1 database, apply SQL files in migrations before deploying code that reads the new columns.

Sync

Git.Top can sync real repository data from the GitHub API into D1.

Required production secrets:

wrangler secret put GITHUB_TOKEN

wrangler secret put SYNC_SECRET

For local development, copy .dev.vars.example to .dev.vars and fill in real values.

Trigger a protected local or production sync:

curl -X POST http://localhost:8787/api/admin/sync \

-H "authorization: Bearer $SYNC_SECRET" \ -H "content-type: application/json" \ -d '{"limit": 40, "offset": 0, "signal_depth": "lite"}'

Use {"limit":40,"signal_depth":"lite"} for manual catch-up syncs after checking recent /api/sync/status runs. Cron uses a smaller lightweight batch size to stay under Worker subrequest limits, while manual catch-up remains capped at 50.

Run repeated production catch-up rounds:

SYNC_SECRET=... pnpm sync:prod:catchup --rounds 13 --limit 40

Omit offset to use the stored seed cursor. Cron syncs use this cursor and advance through the seed list in bounded batches. Add --refresh-cycle when all seed repositories have been indexed but freshness recovery requires revisiting the full seed cursor despite remaining_count=0.

API

  • GET /api/project/:owner/:name
  • GET /api/health
  • GET /api/quality
  • GET /api/benchmark
  • GET /api/governance/summary
  • GET /api/governance/runs
  • GET /api/sync/status
  • GET /api/schema/agent-card.v1
  • GET /api/schema/project-knowledge.v1
  • GET /api/search
  • GET /api/trending
  • GET /api/category/:name
  • GET /api/recommend
  • GET /api/compare
  • GET /api/alternatives/:owner/:name
  • POST /api/grp/query
  • POST /api/admin/sync
  • POST /api/admin/alternatives
  • POST /api/admin/governance/runs

See git_top_v1.md for the V1 development spec and git_top_grp_v1.md for the GRP v1 reasoning protocol implementation spec.

License

MIT

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