otp-ojp-mcp-server

neogene-ai/otp-ojp-mcp-server
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Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Validate, introspect, and parse talent profiles (OTP) and job postings (OJP)

README.md

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

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

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