# equivault-mcp

> Use this tool when you need to analyze company fundamentals, financials, and investment narratives with AI-powered equity research. It solves problems related to investment decisions, portfolio management, and market analysis by providing 38 tools for data screening, peer comparison, and signals intelligence. The tool accepts various inputs and outputs detailed analytics, briefs, and alerts, making it ideal for use cases involving investment research and portfolio optimization.

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

## Description

Official MCP server for EquiVault — AI-powered equity research for Claude. 38 tools covering company fundamentals, financials, ratios, screening, peer comparison, investment narrative, signals intelligence, alerts, briefs, portfolio analytics, insider transactions, and earnings quality. Tier-aware with upgrade prompts. Install: npx equivault-mcp.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/koikqtw0gk)
- **Repository:** <https://github.com/equivault/equivault-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": "equivault-equivault-mcp"
    }
  }
}
```

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