What is the key difference between Foundrynet Inference and Agents?

Foundrynet Inference belongs to the Finance & Fintech category with local stdio execution, while Agents belongs to the Finance & Fintech category with cloud HTTP/SSE execution.

How do I install Foundrynet Inference or Agents in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Foundrynet Inference and Agents free or paid?

Foundrynet Inference operates under a Free / Open Source model (No auth required). Agents operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Foundrynet Inference lists 0 tools with 0 views and 0 GitHub stars. Agents lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Foundrynet Inference and Agents together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

How do I install Foundrynet Inference or Agents in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Foundrynet Inference and Agents free to use, or do they require API keys?

Foundrynet Inference is listed under a Free / Open Source model with No auth required . Agents operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Foundrynet Inference and Agents at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both foundrynet-inference and agents-2 as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Foundrynet Inference has a Quality Score of 33 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars. Agents holds a Quality Score of 46 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Foundrynet Inference vs Agents

In-depth architectural comparison of the Foundrynet Inference and Agents MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Foundrynet Inference

Finance & Fintech · Local stdio

Quality: 33/100 (Emerging) | Auth: No auth required

Agents

Finance & Fintech · Remote HTTP/SSE

Quality: 46/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Foundrynet Inference if you need specialized Finance & Fintech tools running via a local process. Choose Agents if your workspace requires Finance & Fintech integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Foundrynet Inference when:

You need dedicated capabilities in the Finance & Fintech domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Foundrynet Inference Details

Choose Agents when:

You need dedicated capabilities in the Finance & Fintech domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Agents Details

Feature & Specification Comparison

Specification	F Foundrynet Inference Finance & Fintech	A Agents Finance & Fintech
Summary	x402 LLM proxy + data-enriched analysis (17 sources) + TimesFM predictive IoT intelligence.	Pay-per-call safety guards for AI agents: injection, tool-call, signing, secret, x402-trust.
Category & Scope	Finance & Fintech	Finance & Fintech
Quality signal

Tools & Capabilities Breakdown

Foundrynet Inference Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Agents Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Foundrynet Inference Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "foundrynet-inference": {
      "command": "npx",
      "args": [
        "-y",
        "foundrynet-inference"
      ]
    }
  }
}

Agents Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "agents-2": {
      "url": "https://paygent.obsmetrics.com"
    }
  }
}

Frequently Asked Questions

Foundrynet Inference is categorized under Finance & Fintech and uses a local stdio subprocess. In contrast, Agents belongs to Finance & Fintech using remote streaming HTTP/SSE transport. Select Foundrynet Inference when you need capabilities focused on finance & fintech and Agents when you require tools for finance & fintech.

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