# RecruitData

> Use this tool when you need to streamline job searches by aggregating listings from multiple job boards into a single interface. RecruitData solves the problem of information overload and duplicate listings, enabling AI agents to efficiently find and filter jobs by keyword and location. It takes in keywords and location as inputs and outputs a curated list of live job listings, making it ideal for use cases that require quick and accurate job matching.

Canonical page: https://skillsregistry.net/skills/ssaikrishna862-recruitdata-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ssaikrishna862-recruitdata-mcp

## Description

Unified job search MCP server that aggregates live listings from multiple job boards with deduplication, enabling AI agents to find and filter jobs by keyword and location.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hom2wdhtwc)
- **Repository:** <https://github.com/ssaikrishna862/recruitdata-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ssaikrishna862-recruitdata-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ssaikrishna862-recruitdata-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ssaikrishna862-recruitdata-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt