Himalayas-App/himalayas-mcp

Overview

A Model Context Protocol (MCP) server that provides access to remote job listings and company information from Himalayas.app. It enables AI agents to query real-time job postings and employer details through a standardized protocol.

Best for

Best for
Developers building AI assistants that need curated remote job data

Use cases

• Fetching current remote job openings by criteria
• Querying company profiles from Himalayas.app
• Integrating job market data into AI-driven career tools

How to use

Install

npx mcp-remote https://mcp.himalayas.app/mcp

Tools exposed

• search_jobs
• get_jobs
• get_job_details
• get_related_jobs
• search_companies
• get_companies
• get_company_details
• get_salary_data
• get_remote_work_statistics
• search_talent
• get_correct_country_name
• check_job_payment_status
• get_my_profile
• update_profile
• add_experience
• add_education
• update_tech_stack
• save_job
• get_saved_jobs
• update_job_status

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Continue, VS Code, ChatGPT

Example client config

{\n  "mcpServers": {\n    "himalayas": {\n      "command": "npx",\n      "args": ["-y", "mcp-remote", "https://mcp.himalayas.app/mcp"]\n    }\n  }\n}

Notes

A Model Context Protocol (MCP) server that provides access to remote job listings and company information from Himalayas.app. It enables AI agents to query real-time job postings and employer details through a standardized protocol.

16 stars on GitHub. Last updated 2026-03-08. Licensed MIT.

Use cases

• Fetching current remote job openings by criteria
• Querying company profiles from Himalayas.app
• Integrating job market data into AI-driven career tools

Pros

• Standard MCP interface allows easy integration with any MCP-compatible client
• Provides access to a curated set of remote-first jobs
• Lightweight and open source

Cons

• Data is limited to listings available on Himalayas.app only
• Requires an MCP client to use; not a standalone application
• Relatively new project with a small community (16 stars)

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.