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

Tool	Description
`otp_parse_resume`	Raw resume text → OTP skeleton with `_EXTRACT_*` placeholders for an LLM to fill
`otp_validate_profile`	Validate an OTP document against the JSON Schema
`otp_introspect_profile`	Extract an agent-friendly summary from an OTP document
`ojp_parse_job_posting`	Raw job posting text → OJP skeleton with `_EXTRACT_*` placeholders
`ojp_validate_job_posting`	Validate an OJP document against the JSON Schema
`ojp_introspect_job_posting`	Extract an agent-friendly summary from an OJP document

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

bash

npm install -g @opentalentprotocol/mcp-server

Or run directly with npx:

bash

npx @opentalentprotocol/mcp-server

Setup

Claude Desktop

Add to your claude_desktop_config.json:

json

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

Claude Code

Add to your project or global MCP settings:

json

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

From source

bash

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:

Call otp_parse_resume (or ojp_parse_job_posting) with raw text
Get back a document skeleton with _EXTRACT_* annotations, confidence levels, and known gaps
The calling agent fills in the skeleton using its own reasoning
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.