MCP Server: Github

MCP Server: Github: an MCP server exposing 6 tools for AI agents. $0.01 per tool-call.

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What is the MCP Server: Github?

The MCP Server: Github is an Apify-hosted MCP server exposing 6 tools (search_repos, search_issues, search_prs, search_users, recent_releases, language_stats) for AI agents (Claude, Cursor, Continue) to query ai dev data. HTTP-only, no API key, runs on the Apify cloud.

Use cases

• AI agent integration — let Claude/Cursor/Continue call MCP Server: Github tools directly from chat.
• Automated research workflows — chain tool calls inside an agent for multi-step lookups.
• Data enrichment pipelines — augment your CRM/database via agent automation.
• MCP catalog expansion — add this server to your existing MCP stack.
• Prototype before building — validate an AI use case without writing API client code.

Input

{
  "mode": "call_tool",
  "tool_name": "search_repos",
  "arguments": {
    "query": "language:python stars:>1000 ai-agent",
    "limit": 5
  }
}

Output

{
  "result_field_1": "value extracted by the tool",
  "result_field_2": "another field",
  "metadata": {
    "tool": "search",
    "query": "example"
  }
}

Pricing

PAY_PER_EVENT — $0.01 per tool-call (= per 1,000 = the same × 1,000). Failed runs are not charged. list_tools mode is free for MCP servers (discovery).

FAQ — MCP Server: Github alternatives

Why MCP Server: Github on Apify vs writing it yourself? Maintenance. APIs change. CAPTCHAs rotate. Anti-bot fingerprints update. This actor handles all that — you focus on the data. Can I run it from Python / Node / curl? Yes. Use Apify's run-sync-get-dataset-items endpoint with your token, or the official Apify SDK. What about rate limits? The actor handles backoff automatically. For high volume, queue runs sequentially or use Apify's run-pool feature.

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License: MIT · Author: dltik