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

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

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

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

Which MCP server has more tools and community activity?

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

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

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

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

Side-by-Side Model Context Protocol Comparison

Vector Search API vs Foundrynet Search

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

Vector Search API

Finance & Fintech · Local stdio

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

Foundrynet Search

Finance & Fintech · Remote HTTP/SSE

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

Verdict Summary: Choose Vector Search API if you need specialized Finance & Fintech tools running via a local process. Choose Foundrynet Search 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 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

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

Feature & Specification Comparison

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

Tools & Capabilities Breakdown

Vector Search API Tools (0)

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

Foundrynet Search 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).

Vector Search API Configuration

mcpServers (Claude Desktop / Cursor)

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

Foundrynet Search Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

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

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