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Reed Jobs MCP Server

MCP Server

Search UK jobs via Reed API with filters

Stale(55)
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Updated Jul 21, 2025

About

A TypeScript-based MCP server that integrates with the Reed Jobs API, enabling keyword, location, salary, and contract-type searches, plus detailed job retrieval for use in Cursor IDE and Claude Desktop.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

MseeP.ai Security Assessment Badge

The Reed Jobs MCP Server bridges the gap between AI assistants and the extensive job‑listing database of Reed.co.uk. By exposing a set of well‑defined tools over the Model Context Protocol, it lets developers incorporate real‑time job search and detail retrieval into conversational agents without having to manage the intricacies of the Reed API themselves. This solves a common pain point for recruitment platforms and career‑advising bots: accessing up‑to‑date listings, filtering by a rich set of criteria, and presenting them in natural language—all while keeping the developer’s codebase clean and focused on higher‑level logic.

At its core, the server offers two primary capabilities. First, a search tool that accepts keywords, location names, contract type flags (permanent, full‑time, part‑time), salary ranges, and a distance parameter to narrow results. Second, a detail tool that retrieves the full description of a job posting given its unique identifier. These tools translate directly into conversational actions: an assistant can ask a user for preferences, invoke the search tool, and then use the detail tool to fetch additional information when a candidate shows interest. The ability to filter by remote work and salary ranges is particularly valuable for tailoring results to modern job‑seekers who prioritize flexibility and compensation.

Developers benefit from the server’s seamless integration with Cursor IDE and its compatibility with Claude Desktop via Smithery. Once the server is running, an AI assistant can call or as if they were native functions, receiving structured JSON responses that can be fed back into the model’s context. This tight coupling reduces latency, eliminates manual API key handling in client code, and ensures that updates to the Reed API are absorbed by the server without downstream changes.

Real‑world use cases abound. A career counseling chatbot can ask a student for their preferred field and location, search the job market in real time, and present a curated list of openings. A recruitment agency’s internal assistant can quickly pull detailed job descriptions to populate candidate briefs, or a corporate HR tool can scan for external talent that matches internal skill gaps. Because the server exposes only the necessary fields, developers can build privacy‑aware applications that surface just enough information to make decisions without exposing sensitive data.

Unique advantages of this MCP server include its TypeScript foundation, which guarantees type safety for both the server and any client consuming its tools, and its modular design that allows additional filters or endpoints to be added with minimal friction. The server’s open‑source MIT license encourages community contributions, and the built‑in security badge demonstrates compliance with industry standards. Together, these factors make the Reed Jobs MCP Server a robust, developer‑friendly gateway to one of the UK’s largest job portals.