Summary
Connects Claude to the Open Talent Protocol and Open Job Protocol schemas for parsing and validating structured candidate profiles and job postings. You get six tools: parse raw resumes or job postings into JSON skeletons with extraction placeholders, validate completed documents against the official schemas, and introspect either format into agent-friendly summaries. The parsers are pure functions with no LLM calls or API keys required. They output templates with _EXTRACT_ annotations that your agent fills in, then you validate the result. Useful when you're building recruitment workflows or matching pipelines and need standardized, schema-backed structures instead of freeform text. Runs via npx with zero configuration.
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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:
- Call
otp_parse_resume(orojp_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(orojp_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 v0.1schema/openjob-protocol.schema.json— OJP v0.1
Requirements
- Node.js >= 18
License
MIT
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →