Otp Ojp

OTP/OJP MCP Server

An MCP server for the Open Talent Protocol (OTP) and Open Job Protocol (OJP) — open standards for structuring candidate profiles and job postings for AI agent reasoning.

Tools

Key traits

• Pure functions — no LLM calls, no network calls, no API keys needed
• JSON Schema draft 2020-12 validation via AJV
• LLM-free parsers — produce structured templates for the calling agent to complete
• Zero config — just install and run

Install

npm install -g @opentalentprotocol/mcp-server

Or run directly with npx:

npx @opentalentprotocol/mcp-server

Setup

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "otp-ojp": {
      "command": "npx",
      "args": ["-y", "@opentalentprotocol/mcp-server"]
    }
  }
}

Claude Code

Add to your project or global MCP settings:

{
  "mcpServers": {
    "otp-ojp": {
      "command": "npx",
      "args": ["-y", "@opentalentprotocol/mcp-server"]
    }
  }
}

From source

git clone https://github.com/neogene-ai/otp-ojp-mcp-server.git
cd otp-ojp-mcp-server
npm install
npm run build
node dist/index.js

How it works

Parsing workflow

The parsers follow a skeleton + fill pattern:

1. Call otp_parse_resume (or ojp_parse_job_posting) with raw text
2. Get back a document skeleton with _EXTRACT_* annotations, confidence levels, and known gaps
3. The calling agent fills in the skeleton using its own reasoning
4. Call otp_validate_profile (or ojp_validate_job_posting) to verify the result

This keeps the MCP server LLM-free while giving agents structured guidance on what to extract.

Introspection

The introspect tools flatten an OTP/OJP document into a normalized, agent-friendly object with an agentSummary string — ready for system prompts, retrieval-augmented context, or matching logic.

Schemas

The JSON Schemas are bundled in the schema/ directory:

• schema/opentalent-protocol.schema.json — OTP v0.1
• schema/openjob-protocol.schema.json — OJP v0.1

Requirements

• Node.js >= 18

License

MIT