# DevTrends MCP (`peghin/devtrends-mcp`) Actor

Real-time developer intelligence for AI coding assistants. Instant library health checks (npm, GitHub stars, maintenance status), trending technologies, security vulnerabilities, job market demand + best practices. Perfect 4 ChatGPT, Claude, Cursor, GitHub & AI tools. Official APIs. 100% compliant.

- **URL**: https://apify.com/peghin/devtrends-mcp.md
- **Developed by:** [Alejandro Paris](https://apify.com/peghin) (community)
- **Categories:** AI, Developer tools, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## 🚀 DevTrends MCP Server

**Real-time developer intelligence for AI coding assistants**

### 🎯 What It Does

DevTrends provides AI agents (ChatGPT, Claude, Cursor, GitHub Copilot) with real-time intelligence about:

- 📊 **Library Health** - Is this library still maintained? Safe to use?
- 🔥 **Tech Stack Analysis** - How do these technologies work together?
- ⚠️ **Security Status** - Any vulnerabilities in this package?
- 📈 **Trending Technologies** - What's rising? What's declining?
- 💼 **Job Market Demand** - Which skills are most valuable?
- 🏗️ **Best Practices** - What's the recommended approach?

### 🤖 Perfect For

- AI coding assistants making technology recommendations
- Developers evaluating new libraries
- CTOs planning tech stack decisions
- Recruiters understanding skill demand
- Students learning current technologies

### 💡 Example Queries
````

"Is lodash still safe to use in 2025?"
→ Returns: Weekly downloads, GitHub activity, security status, alternatives

"What are the trending frontend frameworks?"
→ Returns: Rising technologies, growth rates, adoption trends

"Should I learn React or Vue?"
→ Returns: Job demand, learning curve, community size, salary data

"Is there a security vulnerability in express 4.17?"
→ Returns: CVE status, severity, fix recommendations

````

### 🔧 How to Use

#### Method 1: Simple Query (Recommended)
```json
{
  "query": "Is react still safe to use in 2025?"
}
````

The Actor will auto-detect your intent and provide relevant intelligence.

#### Method 2: Specific Tool

```json
{
  "query": "Check react library",
  "tool": "library_health",
  "parameters": {
    "library": "react",
    "ecosystem": "npm"
  }
}
```

### 📊 Available Tools

#### 1. Library Health Check

Analyzes package ecosystem health and maintenance status.

**Input:**

```json
{
  "tool": "library_health",
  "parameters": {
    "library": "react",
    "ecosystem": "npm"
  }
}
```

**Output:**

- Weekly downloads
- GitHub stars & activity
- Open issues count
- Maintenance trend
- Safety recommendation
- Alternative libraries

#### 2. Tech Stack Analysis

Evaluates technology compatibility and market adoption.

**Input:**

```json
{
  "tool": "tech_stack_analysis",
  "parameters": {
    "technologies": ["react", "nextjs", "tailwind", "prisma"]
  }
}
```

**Output:**

- Compatibility score
- Market adoption level
- Learning curve assessment
- Job market demand
- Similar successful stacks

#### 3. Security Status

Checks for known vulnerabilities and CVEs.

**Input:**

```json
{
  "tool": "security_status",
  "parameters": {
    "package": "lodash",
    "version": "4.17.20"
  }
}
```

**Output:**

- Vulnerability count
- Severity levels
- CVE identifiers
- Fix recommendations
- Auto-fixable status

#### 4. Trending Technologies

Identifies rising and declining technologies.

**Input:**

```json
{
  "tool": "trending_technologies",
  "parameters": {
    "category": "frontend",
    "timeframe": "30d"
  }
}
```

**Output:**

- Rising technologies with growth rates
- Declining technologies with reasons
- Emerging patterns
- Community adoption trends

#### 5. Best Practices

Provides current community-recommended approaches.

**Input:**

```json
{
  "tool": "best_practices",
  "parameters": {
    "language": "typescript",
    "task": "api-validation"
  }
}
```

**Output:**

- Recommended solution
- Code patterns
- Alternative approaches
- Community consensus

#### 6. Job Market Demand

Analyzes hiring demand and salary data.

**Input:**

```json
{
  "tool": "job_market_demand",
  "parameters": {
    "skills": ["react", "typescript", "nextjs"]
  }
}
```

**Output:**

- Demand level (low/medium/high/very high)
- Average salary ranges
- Top hiring companies
- Growth projections

### 🌐 Data Sources

All data is gathered from **public, compliant APIs**:

- ✅ npm Registry API (official)
- ✅ GitHub API (official)
- ✅ Stack Overflow API (official)
- ✅ Public job board APIs
- ✅ Security advisory databases

**No web scraping. No ToS violations.**

### 💰 Pricing

**$2 per monthly active AI agent user**

Perfect for:

- AI coding assistant developers
- DevTool companies
- Educational platforms
- Tech recruiting platforms

### 🚀 Quick Start

1. Click "Try for free" on this Actor page
2. Enter your query: `"Is react still safe to use?"`
3. Click "Start"
4. Get real-time developer intelligence in seconds

### 🔗 Integration Examples

#### ChatGPT Custom GPT

```
Use the DevTrends MCP Server to get current data about libraries before recommending them.
```

#### Cursor AI

```
Query DevTrends for library health before suggesting imports.
```

#### Claude with MCP

```
Connect DevTrends as an MCP tool for real-time tech intelligence.
```

### 📈 Use Cases

#### For Developers

- Evaluate new libraries before adoption
- Check security status of dependencies
- Stay current with technology trends
- Make data-driven tech decisions

#### For AI Assistants

- Provide accurate, current recommendations
- Avoid suggesting deprecated libraries
- Give context-aware technology advice
- Support better code generation

#### For Companies

- Tech stack due diligence
- Hiring and skills planning
- Developer productivity tools
- Competitive intelligence

### 🏆 Why DevTrends?

- ✅ **Real-time data** - Not outdated training data
- ✅ **Comprehensive** - 6 intelligence tools in one
- ✅ **Reliable** - Uses official APIs only
- ✅ **Fast** - Sub-second response times
- ✅ **Affordable** - Pay only for active users

### 📞 Support

Questions? Ideas? Feedback?

- 📧 Email: support@easyhireapp.com
- 🐦 Twitter: @EasyHireApp
- 💬 GitHub Issues: \[link]

### 📄 License

MIT License - Free for personal and commercial use

***

**Built with ❤️ for the developer community**

*Helping AI assistants make better technology recommendations*

# Actor input Schema

## `query` (type: `string`):

Natural language query about developer tools, libraries, or tech trends

## `tool` (type: `string`):

Specify which intelligence tool to use, or leave blank for auto-detection

## `parameters` (type: `object`):

Additional parameters for specific tools

## Actor input object example

```json
{
  "query": "Is lodash still safe to use in 2025?",
  "tool": "",
  "parameters": {
    "library": "react",
    "ecosystem": "npm"
  }
}
```

# 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

```javascript
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 = {
    "parameters": {}
};

// Run the Actor and wait for it to finish
const run = await client.actor("peghin/devtrends-mcp").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

```python
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 = { "parameters": {} }

# Run the Actor and wait for it to finish
run = client.actor("peghin/devtrends-mcp").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "parameters": {}
}' |
apify call peghin/devtrends-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=peghin/devtrends-mcp",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "DevTrends MCP",
        "description": "Real-time developer intelligence for AI coding assistants. Instant library health checks (npm, GitHub stars, maintenance status), trending technologies, security vulnerabilities, job market demand + best practices. Perfect 4 ChatGPT, Claude, Cursor, GitHub & AI tools. Official APIs. 100% compliant.",
        "version": "0.0",
        "x-build-id": "yubaztyyMOCGBw8ZZ"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/peghin~devtrends-mcp/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-peghin-devtrends-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/peghin~devtrends-mcp/runs": {
            "post": {
                "operationId": "runs-sync-peghin-devtrends-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/peghin~devtrends-mcp/run-sync": {
            "post": {
                "operationId": "run-sync-peghin-devtrends-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "query"
                ],
                "properties": {
                    "query": {
                        "title": "Query",
                        "type": "string",
                        "description": "Natural language query about developer tools, libraries, or tech trends"
                    },
                    "tool": {
                        "title": "Specific Tool (Optional)",
                        "enum": [
                            "",
                            "library_health",
                            "tech_stack_analysis",
                            "security_status",
                            "trending_technologies",
                            "best_practices",
                            "job_market_demand"
                        ],
                        "type": "string",
                        "description": "Specify which intelligence tool to use, or leave blank for auto-detection",
                        "default": ""
                    },
                    "parameters": {
                        "title": "Parameters (Optional)",
                        "type": "object",
                        "description": "Additional parameters for specific tools"
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```