echojobsio/jdl-mcp-server
by Various
MCP server for JobDataLake — search 1M+ enriched job listings from AI tools
MCP
echojobsio/jdl-mcp-server
Added 1 June 2026
Overview
A Model Context Protocol server that queries JobDataLake, a dataset of over one million enriched job listings. It exposes job search capabilities to AI tools through the MCP interface, allowing agents to retrieve structured job data.
Best for
Best for
Developers building MCP-based AI tools that need to search or analyze a broad set of job postings.
Use cases
- Enabling AI assistants to find relevant job postings during conversations
- Building automated job market analysis or aggregation tools
- Integrating live job data into custom MCP-compatible applications
Notes
A Model Context Protocol server that queries JobDataLake, a dataset of over one million enriched job listings. It exposes job search capabilities to AI tools through the MCP interface, allowing agents to retrieve structured job data.
0 stars on GitHub. Last updated 2026-04-18. Licensed MIT.
Use cases
- Enabling AI assistants to find relevant job postings during conversations
- Building automated job market analysis or aggregation tools
- Integrating live job data into custom MCP-compatible applications
Pros
- Access to a large, enriched dataset of over one million job listings
- Standard MCP integration makes it easy to connect with compatible AI clients
- Lightweight JavaScript implementation for straightforward setup
Cons
- Dependent on the external JobDataLake service for data availability and accuracy
- Zero repository stars indicates little community validation or adoption
- Limited documentation and support beyond the basic setup instructions
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Access to a large, enriched dataset of over one million job listings
- Standard MCP integration makes it easy to connect with compatible AI clients
- Lightweight JavaScript implementation for straightforward setup
Cons
- Dependent on the external JobDataLake service for data availability and accuracy
- Zero repository stars indicates little community validation or adoption
- Limited documentation and support beyond the basic setup instructions
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