# instaffo-mcp-server

> instaffo-mcp-server — esinecan-instaffo-mcp-server. Use this tool when you need to integrate AI assistants with your Instaffo candidate account, enabling automated interactions such as reading profiles and job suggestions, and performing actions like bookmarking jobs. It solves problems of manual account management and provides a secure, locally-run interface for authenticated interactions. Input includes your browser session authentication, and output includes readable account data and performed write actions.

Canonical page: https://skillsregistry.net/skills/esinecan-instaffo-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/esinecan-instaffo-mcp-server

## Description

Enables AI assistants to interact with your personal Instaffo candidate account, allowing reading of profile, job suggestions, and conversations, as well as performing reversible write actions like bookmarking jobs and updating skills, all authenticated via your browser session and running fully locally.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xeyscol4sp)
- **Repository:** <https://github.com/esinecan/instaffo-mcp-server>

## 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": "esinecan-instaffo-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/esinecan-instaffo-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/esinecan-instaffo-mcp-server/pull`

---
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
