# Onikora FIX Parser

> Use this tool when you need to parse FIX protocol messages and convert them into structured output formats. It solves problems related to decoding and visualizing financial transaction messages, providing outputs in UFO, FFE, and sequence diagram formats. Submit FIX messages to the Onikora remote MCP endpoint to receive formatted output and simplify financial data analysis.

Canonical page: https://skillsregistry.net/skills/fix-parser  
JSON: https://api.skillsregistry.net/v1/skills/fix-parser

## Description

Onikora provides a hosted FIX protocol parser service. AI agents can submit FIX messages and receive structured output in UFO, FFE, and sequence diagram formats through the remote MCP endpoint at onikora.com.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/fix-parser)
- **Repository:** <https://github.com/onikora/mcp-registry>

## 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": "fix-parser"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fix-parser` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fix-parser/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