# Psychosynth MCP

> Psychosynth MCP — 3esign-psychosynth. Use this tool when you need to integrate human-curated psychometric data into autonomous systems, enabling more accurate personality profiling and behavioral predictions. It solves problems related to human-AI interaction, decision-making, and personalization by providing high-variance personality profiles and profile-conditioned responses. The Psychosynth MCP accepts query-based inputs and returns behavioral responses, with transactions settled in USDC using the x402 micro-payment protocol.

Canonical page: https://skillsregistry.net/skills/3esign-psychosynth  
JSON: https://api.skillsregistry.net/v1/skills/3esign-psychosynth

## Description

Psychosynth is an agent-native, on-chain psychometric data marketplace. It delivers high-variance, human-curated personality profiles and profile-conditioned behavioral responses to autonomous systems. Settle transactions query-by-query in USDC on Base using the x402 micro-payment protocol—completely free of human intermediaries.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n05b6869f1)
- **Repository:** <https://github.com/3esign/psychosynth>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "3esign-psychosynth"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/3esign-psychosynth` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/3esign-psychosynth/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt