# Vala-Fi MCP Server

> Use this tool when you need to access company relationship data, such as suppliers, customers, and competitors, through a conversational interface with AI assistants like Claude or Cursor. It solves problems related to researching corporate connections and supply chain paths, providing valuable insights for business decisions. The Vala-Fi MCP Server takes natural language queries as input and returns relevant company relationship data as output.

Canonical page: https://skillsregistry.net/skills/academicnair009-vala-fi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/academicnair009-vala-fi-mcp

## Description

A Bloomberg Terminal you can talk to. Query company relationships — suppliers, customers, competitors, supply chain paths — directly from Claude, Cursor, or any MCP-compatible AI assistant.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p1me6ppknt)
- **Repository:** <https://github.com/academicnair009/vala-fi-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": "academicnair009-vala-fi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/academicnair009-vala-fi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/academicnair009-vala-fi-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