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Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 12:01:42 AM

Figlime

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figlimerecruitingscreeningdeveloper-tools

Reads Figlime hiring data and drafts screening questions through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "figlime": {
      "url": "https://figlime.rise2.ai/docs/mcp"
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ’ป More in Developer Tools

Overview

The figlime MCP server exposes Figlime hiring data and question-drafting capabilities to MCP-compatible AI clients. It can read jobs, screening questions, and candidate responses, and can draft new screening questions. Reach for it when an agent needs to inspect Figlime screening information or help prepare screening questions.

Use cases

โ€ขRead Figlime jobs for an agent-assisted screening workflow
โ€ขReview existing screening questions before drafting new ones
โ€ขInspect candidate responses available in Figlime
โ€ขDraft screening questions from Figlime hiring information

Key features

โ€ขReads Figlime jobs
โ€ขReads screening questions
โ€ขReads candidate responses
โ€ขDrafts screening questions

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Figlime.

Extracted Tool Capabilities
Reads Figlime jobs
Reads screening questions
Reads candidate responses
Drafts screening questions

How Figlime works

What figlime MCP server does

The figlime MCP server connects an MCP-compatible AI client with Figlime data used in hiring workflows. Its documented scope covers three kinds of information: jobs, screening questions, and candidate responses. It also supports drafting screening questions, giving an agent a way to help prepare or refine screening content.

This makes the server relevant for workflows where an AI agent needs to inspect existing Figlime screening material before producing a draft. For example, an agent could read the available job information, review associated screening questions or candidate responses, and then draft screening questions based on the information available through Figlime. The provided material does not describe broader recruiting operations or actions beyond these read and drafting capabilities.

How it works

The figlime MCP server is documented as an MCP endpoint for Figlime. An MCP-compatible client can use its exposed capabilities to request supported Figlime information or ask for screening-question drafts. The available description does not specify whether responses are returned as structured records, plain text, or another format, so client workflows should not assume a particular response shape without checking the linked documentation.

The documented capabilities distinguish between reading existing content and drafting new screening questions. Reading covers jobs, screening questions, and candidate responses. Drafting applies specifically to screening questions. No material is provided about automatic candidate evaluation, hiring decisions, interview scheduling, candidate updates, or other mutations to Figlime data.

Tools and capabilities

The figlime MCP server supports these documented use cases:

  • Read Figlime jobs.
  • Read Figlime screening questions.
  • Read candidate responses stored in Figlime.
  • Draft screening questions.

These capabilities can be combined in an agent workflow, such as reviewing a job and its existing screening material before requesting a draft. The source information does not provide official tool names, parameter definitions, return schemas, filtering options, or pagination behavior.

Limitations and notes

The available material is limited to a short capability description and a documentation link. It does not state the installation command, authentication method, required environment variables, transport details, supported MCP clients, license, or tool names. Those details should be verified in the Figlime documentation before implementation.

The figlime MCP server should therefore be evaluated specifically for reading the listed Figlime hiring data and drafting screening questions. Do not assume that it can write jobs, modify candidate responses, submit screening questions, or perform other recruiting actions. The description confirms drafting, but it does not clarify whether a draft is saved back to Figlime or only returned to the requesting client.

Read the full README โ†’

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Reviews

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Frequently Asked Questions about Figlime

figlime is an MCP server that connects AI clients to Figlime, exposing tools to read Figlime jobs, screening questions, and candidate responses, and to draft screening questions. It is intended for workflows that need recruiting-screening data or question drafting through the Model Context Protocol.

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Technical Specs & Signals

Category๐Ÿ’ปDeveloper Tools
More technical detailsExpand โ–พ
TransportSSE (Remote)
Last updatedOct 6, 2026
10/10 checks healthy over the last 60d
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42Quality signal: Fair ยท 42/100How this signal is calculated โ–พ
Server availability25/25
Verified ownership0/20
Documentation & tools16/30
Adoption & activity1/15
Community engagement0/10

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