fibo-mcp
# fibo-mcp
Give your financial agent access to the Financial Industry Business Ontology (FIBO).
<img src="assets/fibo_graph.png" alt="FIBO Graph Visualization" width="500">
Paste into Claude Code:
```
Install fibo-mcp from https://github.com/NeuroFusionAI/fibo-mcp
```
## Installation
If already in fibo-mcp directory, skip clone and cd. Run all commands from the fibo-mcp directory:
```bash
git clone https://github.com/NeuroFusionAI/fibo-mcp.git && cd fibo-mcp
uv sync
claude mcp add --scope user fibo-mcp -- uv run --directory "$(pwd)" main.py
# Restart Claude Code to load the MCP
```
### With OWL-RL Materialization (Recommended for symbolic reasoning)
Materialization applies the OWL-RL profile and caches the inferred graph. Triple
counts depend on the pinned FIBO revision. OWL-RL is a scalable subset of OWL,
not unrestricted or complete OWL reasoning.
```bash
# Step 1: Build cache first (Ctrl+C after "Ready to serve")
uv run main.py --materialize
# Step 2: Add MCP (instant startup from cache)
claude mcp add --scope user fibo-mcp -- uv run --directory "$(pwd)" main.py --materialize
```
### Diagramming Skill
The repo includes a diagramming skill (`.claude/skills/diagramming_expert/`) for ASCII visualizations.
When installing via Claude Code, ask user:
> **Diagramming skill scope:**
> - [ ] Project scope only (default - already in .claude/skills/)
> - [ ] User scope (all projects) - copy to ~/.claude/skills/
```bash
# User scope skill (optional)
cp -r .claude/skills/diagramming_expert ~/.claude/skills/
```
### Other MCP Clients (Cursor, Claude Desktop, etc.)
Add to your MCP config file:
```json
{
"mcpServers": {
"fibo-mcp": {
"command": "uv",
"args": ["run", "--directory", "/path/to/fibo-mcp", "main.py"]
}
}
}
```
With materialization:
```json
{
"mcpServers": {
"fibo-mcp": {
"command": "uv",
"args": ["run", "--directory", "/path/to/fibo-mcp", "main.py", "--materialize"]
}
}
}
```
> Build cache first: `uv run main.py --materialize` (Ctrl+C after "Ready to serve")
### Uninstall
```bash
# Claude Code
claude mcp remove fibo-mcp
# Remove user-scope skill (if installed)
rm -rf ~/.claude/skills/diagramming-expert
```
## Examples
### "What is money?"
<table width="100%">
<tr>
<th width="50%">Without fibo-mcp</th>
<th width="50%">With fibo-mcp</th>
</tr>
<tr>
<td valign="top">
Money is a medium of exchange, a store of value, and a unit of account that facilitates economic transactions.
**Forms of Money:**
- Commodity money - Physical items with intrinsic value (gold, silver)
- Fiat money - Government-issued currency not backed by commodity (USD, EUR)
- Digital/Electronic money - Bank deposits, digital payments
- Cryptocurrencies - Decentralized digital assets like Bitcoin
Money's value ultimately rests on collective trust and acceptance.
</td>
<td valign="top">
*Claude automatically queries FIBO...*
According to FIBO:
**Currency**: *"medium of exchange value, defined by reference to the geographical location of the monetary authorities responsible for it"*
FIBO distinguishes:
- **Currency** - the medium of exchange itself
- **Monetary Amount** - a quantity denominated in a currency
- **Currency Identifier** - ISO 4217 codes (USD, EUR, etc.)
</td>
</tr>
</table>
### "What is a country?"
<table width="100%">
<tr>
<th width="50%">Without fibo-mcp</th>
<th width="50%">With fibo-mcp</th>
</tr>
<tr>
<td valign="top">
A country is a distinct territorial body or political entity with its own government, defined borders, and sovereignty.
**Key characteristics:**
- Defined territory
- Permanent population
- Government
- Sovereignty
- Recognition by other countries
There are approximately 195 recognized countries today.
</td>
<td valign="top">
*Claude automatically queries FIBO...*
**Sovereign State**: *"non-physical juridical entity that is represented by one centralized government that has sovereignty over a geographic area"*
Key characteristics from FIBO:
- Represented by one centralized government
- Has a permanent population
- Has defined territory
- Has capacity to enter into relations with other sovereign states
Related: **Federated Sovereignty**, **Regional Sovereignty**
</td>
</tr>
</table>
### "What is corporate?"
<table width="100%">
<tr>
<th width="50%">Without fibo-mcp</th>
<th width="50%">With fibo-mcp</th>
</tr>
<tr>
<td valign="top">
A corporation is a legal entity separate from its owners:
- **Limited liability** - Owners not personally responsible for debts
- **Perpetual existence** - Continues regardless of ownership changes
- **Legal personhood** - Can own property, enter contracts, sue and be sued
- **Transferable ownership** - Shares can be bought and sold
</td>
<td valign="top">
*Claude automatically queries FIBO...*
**Corporation**: *"formal organization that is a legal entity (artificial person) distinct from its owners, created under the jurisdiction of the laws of a state or nation"*
Related subclasses include **Stock Corporation**, **For Profit Corporation**,
and **Not-for-Profit Corporation**.
Formation: **Articles of Incorporation**, **Corporate Bylaws**
</td>
</tr>
</table>
## Why FIBO?
Finance has a semantics problem—the same "trade," "counterparty," or "position" can mean different things across desks, systems, vendors, and jurisdictions. FIBO provides a formal, machine-readable ontology (OWL/RDF) so data from contracts, market feeds, and internal systems can be integrated and queried with shared meaning.
Contributors include Citigroup, Deutsche Bank, Goldman Sachs, State Street, Wells Fargo, CFTC, US Treasury OFR, and others. Standardized by EDM Council and OMG.
## HTTP MCP (local by default)
The HTTP listener binds to `127.0.0.1` by default. Do not expose it directly to
the internet: the server accepts read-only SPARQL and caps returned rows, but it
does not provide application authentication or rate limiting. Put an
authenticated, rate-limited gateway in front of it before any remote use.
```bash
# Start HTTP server
uv run main.py --http --port 8000
```
## Technical Details
| | |
|---|---|
| Data | 299 RDF/OWL source files at the pinned revision; loaded triple count is logged at startup |
| Base graph | 133,498 triples; 3,346 `owl:Class` subjects; 1,216 typed RDF/OWL properties; 16,665 URI subjects |
| Cache | `./data/fibo.ttl` (base), `./data/fibo_materialized.ttl` (with --materialize) |
| Source revision | `f59157fe156e3d91b1c045222d0a7dc06b7d78a2` by default; override with `FIBO_REVISION` |
| Refresh cache | `uv run main.py --force-download` |
### Server Flags
| Flag | Description |
|------|-------------|
| `--materialize` | Enable OWL-RL inference (adds startup time; the materialized graph is cached) |
| `--bm25-top-k N` | Number of BM25 search results (default: 10) |
| `--force-download` | Re-download the configured FIBO revision |
| `--http` | Run as HTTP server instead of stdio |
| `--port N` | HTTP server port (default: 8000) |
## References
- [FIBO Specification](https://spec.edmcouncil.org/fibo)
- [Diagramming Skill](https://github.com/erichowens/some_claude_skills/tree/main/.claude/skills/diagramming-expert)
TDQS
Scored across 2 tools
The two tools have clear primary purposes: inspect for a quick local neighborhood of a known entity, sparql for arbitrary queries. While sparql can technically perform inspect's function, the descriptions provide clear usage guidelines, minimizing confusion.
Both tool names are simple, lowercase, and consistent in style. However, they do not follow a more typical verb_noun pattern, and 'sparql' is an acronym rather than a verb, making the pattern less predictable.
With only two tools, the set feels thin for a comprehensive ontology server, but the combination of a general query tool and a convenience inspector covers the core needs. It is borderline, not excessive.
The sparql tool supports arbitrary SPARQL queries, giving full access to FIBO's data. Inspect adds convenience for single-entity lookups. There are no obvious missing operations for read-only ontology exploration.