FirstData vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	FirstData by MLT-OSS	filesystem by modelcontextprotocol
Stars	★ 161	★ 85,748
30d uses	—	—
Score	49	77
Official	—	✓
Categories	AI / LLM ToolsDatabaseDeveloper Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

FirstData · Summary

Comprehensive external fact context layer for AI agents with MCP server integration for accessing authoritative structured data sources.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

FirstData · Use cases

Researchers need authoritative economic data from international organizations for academic papers
Data analysts require structured access to financial indicators from central banks with API support
Policy makers need verified climate data with complete evidence chains for decision making

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

FirstData · Install

Installation

For AI Agents with Skill support (recommended):

clawhub install firstdata

Manual MCP Configuration:

Get API key from [FirstData API申请](https://firstdata.deepminer.com.cn/)
Add to your MCP config file:

{
  "mcpServers": {
    "firstdata": {
      "type": "streamable-http",
      "url": "https://firstdata.deepminer.com.cn/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_FIRSTDATA_API_KEY>"
      }
    }
  }
}

*Note: For Zed, use context_servers instead of mcpServers*

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.