What is the key difference between Foundrynet Search and Vector Search API?

Foundrynet Search belongs to the Finance & Fintech category with cloud HTTP/SSE execution, while Vector Search API belongs to the Finance & Fintech category with local stdio execution.

How do I install Foundrynet Search or Vector Search API 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 Search and Vector Search API free or paid?

Foundrynet Search operates under a Free / Open Source model (No auth required). Vector Search API operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Foundrynet Search lists 0 tools with 0 views and 0 GitHub stars. Vector Search API lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Foundrynet Search and Vector Search API 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 Search or Vector Search API 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 Search and Vector Search API free to use, or do they require API keys?

Foundrynet Search is listed under a Free / Open Source model with No auth required . Vector Search API 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 Search and Vector Search API at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both foundrynet-search and vector-search-api 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 Search has a Quality Score of 39 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Vector Search API holds a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Foundrynet Search vs Vector Search API

In-depth architectural comparison of the Foundrynet Search and Vector Search API 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 Search

Finance & Fintech · Remote HTTP/SSE

Quality: 39/100 (Fair) | Auth: No auth required

Vector Search API

Finance & Fintech · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Foundrynet Search if you need specialized Finance & Fintech tools running via a hosted cloud SSE transport. Choose Vector Search API if your workspace requires Finance & Fintech integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Foundrynet Search 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 Foundrynet Search Details

Choose Vector Search API 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 Vector Search API Details

Feature & Specification Comparison

Specification	F Foundrynet Search Finance & Fintech	V Vector Search API Finance & Fintech
Summary	x402-gated web search gateway. Tools: search, search_enriched.	In-memory vector search with TF-IDF and cosine similarity. x402 micropayment.
Category & Scope	Finance & Fintech	Finance & Fintech
Quality signal

Tools & Capabilities Breakdown

Foundrynet Search Tools (0)

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

Vector Search API 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 Search Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "foundrynet-search": {
      "url": "https://foundrynet.io?utm_source=github&utm_medium=readme&utm_campaign=foundrynet-search"
    }
  }
}

Vector Search API Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "vector-search-api": {
      "command": "npx",
      "args": [
        "-y",
        "vector-search-api"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to Foundrynet Search More alternatives to Vector Search API Finance & Fintech category hub

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