Geminiupgradeqa MCP vs Eval View

A side-by-side look at the Geminiupgradeqa MCP and Eval View MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Geminiupgradeqa MCP logoGeminiupgradeqa MCPConversational AI · Remote HTTP/SSERemote MCP for Gemini upgrade evals, prompt regressions, output diffs, and eval receipts.36FairAuth: not declaredEval View logoEval ViewDeveloper Tools · Local subprocess (stdio)Regression testing framework for AI agents. Save golden baselines, detect behavioral drift, and block regressions in CI. Works with LangGraph, CrewAI, OpenAI, Claude, and any HTTP API.56GoodAuth: api key required

Verdict: choose Geminiupgradeqa MCP for conversational ai work over a hosted endpoint; choose Eval View for developer tools as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Geminiupgradeqa MCP logoChoose Geminiupgradeqa MCP when

  • You need dedicated capabilities in the Conversational AI domain.
  • You prefer a remote HTTP/SSE transport.
Explore Geminiupgradeqa MCP

Eval View logoChoose Eval View when

  • You need dedicated capabilities in the Developer Tools domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
Explore Eval View

Feature & specification comparison

Rows where the two servers differ are marked.

SpecGeminiupgradeqa MCP logoGeminiupgradeqa MCPEval View logoEval View
CategoryConversational AIDeveloper Tools
Quality signal36/100 · Fair56/100 · Good
Install commandConfirmedConfirmed
TransportRemote HTTP/SSELocal subprocess (stdio)
AuthNot declaredAPI key required
PricingNot declaredFree
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars0140
Directory activity 0 views 0 installs 0 upvotes 3 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

Geminiupgradeqa MCP tools

No tool names declared yet. Check the project README from the listing page.

Eval View tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Geminiupgradeqa MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "geminiupgradeqa-mcp": {
      "url": "https://geminiupgradeqa.clauxel.com/mcp"
    }
  }
}

Eval View

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "hidai25-eval-view": {
      "command": "uvx",
      "args": [
        "evalview"
      ]
    }
  }
}

Frequently asked questions

Geminiupgradeqa MCP is categorized under Conversational AI and uses a remote HTTP/SSE transport. Eval View belongs to Developer Tools and uses a local stdio subprocess. Pick Geminiupgradeqa MCP for conversational ai work and Eval View for developer tools.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Geminiupgradeqa MCP has no declared pricing — check the project's own site. Eval View is listed as free. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add geminiupgradeqa-mcp and hidai25-eval-view as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Geminiupgradeqa MCP has a quality signal of 36/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Eval View has 56/100 (Good) with 3 views, 0 installs and 140 GitHub stars.