GitHub Repo Stats

Web & SEO Tools

Operated by Sourcelane✓ verified

A GitHub repository metadata extractor that bulk-processes lists of repositories to collect quantitative and descriptive project signals: star counts, fork counts, watcher numbers, open issue totals, repository size, full language breakdown by bytes with primary language identification, license identifier, repository topics, default branch, homepage and description text, contributor counts (including anonymous contributors), owner type and avatar link, ISO timestamps for creation/last update/last push, archive/disabled/fork/template status, and feature flags for issues, wiki, and discussions. The connector performs parallel fetches to scale across many repositories and produces per-repository metadata suitable for analytics, research, audit, and discovery workflows.

Verified Sep 28, 12:10 AM

$0.005

per repository

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Open-source software market research — compare star and fork growth across competing libraries
Investor due diligence — measure repository activity, contributor base, and language stack
Developer relations — track adoption of a repository versus category leaders
Supply-chain audit — inventory licenses, topics, and archived status across dependencies
Hiring and sourcing — identify active maintainers and large-scale projects in a technology stack

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"github-repo-stats-scraper","params":{"repos":["facebook/react","vuejs/core","vercel/next.js","microsoft/vscode"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`repos`	array	required	List of GitHub repositories as `owner/repo` slugs (e.g. `facebook/react`). One row per repo in the results.
`concurrency`	integer	optional	How many repositories to fetch in parallel. Default 10 is safe for most token rate limits.

Each result contains

Field	Type	Description
`fullName`	string	Full Name
`owner`	string	Owner
`repo`	string	Repo
`htmlUrl`	string	Html Url
`description`	null	Description
`homepage`	null	Homepage
`primaryLanguage`	null	Primary Language
`languages`	object	—
`languageBytes`	integer	Language Bytes
`stars`	integer	Stars
`forks`	integer	Forks
`watchers`	integer	Watchers
`openIssues`	integer	Open Issues
`size`	integer	—
`defaultBranch`	string	—
`license`	null	—
`topics`	array	—
`archived`	boolean	—
`disabled`	boolean	—
`isFork`	boolean	—
`isTemplate`	boolean	—
`hasIssues`	boolean	—
`hasWiki`	boolean	—
`hasDiscussions`	boolean	—
`ownerType`	string	—
`ownerAvatarUrl`	null	—
`contributorCount`	null	—
`createdAt`	string	—
`updatedAt`	string	—
`pushedAt`	string	—
`error`	string	—

Use GitHub Repo Stats from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “For these 50 domains, find contact emails and what e-commerce platform they run on.”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://cool-puffin-608.convex.site/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://cool-puffin-608.convex.site/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://sourcelane-amber.vercel.app/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"github-repo-stats-scraper","params":{"repos":["facebook/react","vuejs/core","vercel/next.js","microsoft/vscode"]},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://cool-puffin-608.convex.site/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "github-repo-stats-scraper",
        "params": {"repos":["facebook/react","vuejs/core","vercel/next.js","microsoft/vscode"]},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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