# fd-open-data-mcp

> fd-open-data-mcp — finddatatechnology-fd-open-data-mcp. Use this tool when you need to unify and query financial and economic data from multiple sources, or when you want to access data by concept and entity with automatic source selection and failover. It provides a semantic concept layer to simplify data retrieval and solves problems of data fragmentation and source reliability. The tool takes in conceptual queries and entity identifiers as inputs and outputs relevant financial and economic data.

Canonical page: https://skillsregistry.net/skills/finddatatechnology-fd-open-data-mcp  
JSON: https://api.skillsregistry.net/v1/skills/finddatatechnology-fd-open-data-mcp

## Description

Provides a semantic concept layer over financial/economic data from multiple sources, enabling users to query data by concept and entity with automatic source selection and failover.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vnwat3ojlc)
- **Repository:** <https://github.com/FindDataTechnology/fd-open-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": "finddatatechnology-fd-open-data-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/finddatatechnology-fd-open-data-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/finddatatechnology-fd-open-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
