# Indonesia Financial Data MCP

> Indonesia Financial Data MCP — agentpixelated-indonesia-financial-data-mcp. Use this tool when you need to access official Indonesian financial data, such as company profiles and financial reports, to inform investment decisions or analyze market trends. It provides tools to retrieve data from IDX, BPS, and KSEI, including statistical tables and investor demographics. Ideal for use cases requiring reliable and up-to-date financial information from Indonesian sources.

Canonical page: https://skillsregistry.net/skills/agentpixelated-indonesia-financial-data-mcp  
JSON: https://api.skillsregistry.net/v1/skills/agentpixelated-indonesia-financial-data-mcp

## Description

Citation-first MCP server for official Indonesian financial data from IDX, BPS, and KSEI, providing tools to access company profiles, financial reports, statistical tables, and investor demographics.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zijhj06d9c)
- **Repository:** <https://github.com/agentpixelated/indonesia-financial-data-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": "agentpixelated-indonesia-financial-data-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentpixelated-indonesia-financial-data-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentpixelated-indonesia-financial-data-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
