Developer Tools MCP Server

Developer Tools MCP — GitHub, npm, PyPI & Docs for Agents (`nexgendata/developer-tools-mcp-server`) Actor

MCP server exposing GitHub, npm, PyPI, Stack Overflow, arXiv and Scholar search as agent tools. Connect Claude, Cursor, n8n or the OpenAI Agents SDK. No API key. Pay per record.

URL: https://apify.com/nexgendata/developer-tools-mcp-server.md
Developed by: NexGenData (community)
Categories: AI, Developer tools, MCP servers
Stats: 13 total users, 5 monthly users, 100.0% runs succeeded, 1 bookmarks
User rating: No ratings yet

Pricing

from $50.00 / 1,000 tool calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A".

How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows.

AI agents and MCP clients — the Apify MCP server at https://mcp.apify.com (remote, streamable HTTP, OAuth on first use).
Agentic workflows and local Actor development — Agent Skills with the Apify CLI: npm install -g apify-cli, then apify login.
JavaScript/TypeScript projects — the official JS/TS client: npm install apify-client.
Python projects — the official Python client: pip install apify-client.
Any other language — the REST API.

For usage examples, see the API section below.

For more details, see Apify documentation as Markdown index and Markdown full-text.

README

Developer Tools MCP

A Model Context Protocol server that gives AI coding agents developer data — GitHub, npm, PyPI, Stack Overflow, arXiv and Scholar — as callable tools. For coding assistants and dev-research agents.

🛠 Tools (7)

get_github_repo — GitHub repository details.
get_npm_package — npm package details.
get_pypi_package — PyPI package details.
search_arxiv — Search arXiv preprints.
search_github — Search GitHub.
search_google_scholar — Search Google Scholar.
search_stackoverflow — Search Stack Overflow.

🔌 Connect (Claude Desktop / Cursor / n8n / OpenAI Agents SDK)

Add this MCP server to your client config:

{
  "mcpServers": {
    "developer-tools": {
      "url": "https://nexgendata--developer-tools-mcp-server.apify.actor/mcp"
    }
  }
}

Sample agent prompt:

Look up an npm package's latest version and find related Stack Overflow answers.

Pricing: $0.05 per tool call (Pay-Per-Event). Runs in Standby mode.

Related NexGenData MCP Servers

Use case	Actor
News data + media monitoring for AI agents	News MCP Server
Finance + stock data for AI agents	Finance MCP Server
Real estate + property data for AI agents	Real Estate MCP Server

About NexGenData

NexGenData publishes a family of MCP servers and data actors for AI agent workflows. Browse the full catalog at https://apify.com/nexgendata

Actor input Schema

Actor input object example

{}

API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

JavaScript example

import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/developer-tools-mcp-server").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Python example

from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/developer-tools-mcp-server").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

CLI example

echo '{}' |
apify call nexgendata/developer-tools-mcp-server --silent --output-dataset

MCP server setup

{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nexgendata/developer-tools-mcp-server"
        }
    }
}

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an Authorization: Bearer <APIFY_API_TOKEN> header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ZuY8xExrmZTJualCf/builds/79MBlMVo7AoPmCYpC/openapi.json