What is the key difference between Evc Spark MCP and Mcpbundles?

Evc Spark MCP belongs to the Aggregators category with local stdio execution, while Mcpbundles belongs to the Aggregators category with cloud HTTP/SSE execution.

How do I install Evc Spark MCP or Mcpbundles 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 Evc Spark MCP and Mcpbundles free or paid?

Evc Spark MCP operates under a Free / Open Source model (No auth required). Mcpbundles operates under a Freemium model (API Key required).

Which MCP server has more tools and community activity?

Evc Spark MCP lists 7 tools with 2 views and 5 GitHub stars. Mcpbundles lists 14 tools with 3 views and 5 GitHub stars.

Can I use both Evc Spark MCP and Mcpbundles 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.

Side-by-Side Model Context Protocol Comparison

Evc Spark MCP vs Mcpbundles

In-depth architectural comparison of the Evc Spark MCP and Mcpbundles 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

Evc Spark MCP

Aggregators · Local stdio

Quality: 60/100 (Good) | Auth: No auth required

Mcpbundles

Aggregators · Remote HTTP/SSE

Quality: 57/100 (Good) | Auth: API Key required

Verdict Summary: Choose Evc Spark MCP if you need specialized Aggregators tools running via a local process. Choose Mcpbundles if your workspace requires Aggregators integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Evc Spark MCP when:

You need dedicated capabilities in the Aggregators domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
You have access to required keys: SPARK_API_URL, SPARK_SITE_URL.
Primary tools included: search_assets, get_asset, get_asset_content.

Explore Evc Spark MCP Details

Choose Mcpbundles when:

You need dedicated capabilities in the Aggregators domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: API Key required (Freemium).
You have access to required keys: ACCESS_TOKEN.
Primary tools included: mcpbundles_hub_list_bundles, mcpbundles_hub_get_bundle, mcpbundles_hub_create_bundle.

Feature & Specification Comparison

Specification	Evc Spark MCP entire-vc Aggregators	Mcpbundles thinkchainai Aggregators
Summary	Search and discover AI agents, skills, prompts, bundles and MCP connectors from a curated catalog of 4500+ assets.	MCP Bundles: Create custom bundles of tools and connect providers with OAuth or API keys. Use one MCP server across thousands of integrations, with programmatic tool calling and MCP UI for managing bundles and credentials.
Category & Scope

Tools & Capabilities Breakdown

Evc Spark MCP Tools (7)

search_assets

Search the Spark AI assets marketplace. Returns matching agents, skills, prompts, MCP connectors, and bundles. [Trial mode: limited to 5 results. Set SPARK_API_KEY for full access: https://spark.entire.vc/create]

get_asset

Get full details of a Spark asset by its slug. Returns description, files, outcome reports, and more.

get_asset_content

Get the raw content of a Spark asset (prompt text, skill instructions, agent config). This counts as an acquisition and ends with an application_id to report the outcome with.

list_popular

List the most popular Spark assets. Defaults to combined quality+ratings score (combo). Great for discovering top-rated AI tools.

list_categories

List available categories (domains and AI tags) in the Spark marketplace. Useful for filtering searches.

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).

Evc Spark MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "entire-vc-evc-spark-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "evc-spark-mcp"
      ],
      "env": {
        "SPARK_API_URL": "YOUR_SPARK_API_URL_HERE",
        "SPARK_SITE_URL": "YOUR_SPARK_SITE_URL_HERE"
      }
    }
  }
}

Mcpbundles Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "thinkchainai-mcpbundles": {
      "url": "https://mcp.mcpbundles.com/hub/"
    }
  }
}

Frequently Asked Questions

Evc Spark MCP is categorized under Aggregators and uses a local stdio subprocess. In contrast, Mcpbundles belongs to Aggregators using remote streaming HTTP/SSE transport. Select Evc Spark MCP when you need capabilities focused on aggregators and Mcpbundles when you require tools for aggregators.

More alternatives to Evc Spark MCP More alternatives to Mcpbundles Aggregators category hub