# federal-spend-ai

> federal-spend-ai — sbpnet-federal-spend-ai. Use this tool when you need to analyze Canadian federal spending data, identify trends, and detect anomalies. It provides contract search, natural language processing, semantic search, and money-flow tracing capabilities to solve problems related to financial transparency and accountability. Ideal for use cases involving government expenditure analysis, audit, and research, it accepts spending data as input and outputs insightful visualizations and reports.

Canonical page: https://skillsregistry.net/skills/sbpnet-federal-spend-ai  
JSON: https://api.skillsregistry.net/v1/skills/sbpnet-federal-spend-ai

## Description

MCP server for analyzing Canadian federal spending data, offering tools for contract search, NLP, semantic search, anomaly detection, and money-flow tracing.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xusas6eu0v)
- **Repository:** <https://github.com/SBPnet/federal-spend-ai>

## 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": "sbpnet-federal-spend-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sbpnet-federal-spend-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sbpnet-federal-spend-ai/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