# fibo-mcp

> Use this tool when you need to query financial concepts, terms, and relationships using natural language, providing access to the Financial Industry Business Ontology (FIBO) for financial agents. It solves problems related to financial data retrieval and analysis by offering a user-friendly interface for complex financial queries. Ideal for use cases requiring semantic search and data integration in financial domains, accepting natural language inputs and returning relevant financial information as output.

Canonical page: https://skillsregistry.net/skills/neurofusionai-fibo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/neurofusionai-fibo-mcp

## Description

Provides financial agents access to the Financial Industry Business Ontology (FIBO) for querying financial concepts, terms, and relationships through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rtxfb4hlzk)
- **Repository:** <https://github.com/NeuroFusionAI/fibo-mcp>

## 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": "neurofusionai-fibo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neurofusionai-fibo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neurofusionai-fibo-mcp/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