What is the key difference between GlianaAI and MCP Pearch?

GlianaAI belongs to the Search & Data Extraction category with local stdio execution, while MCP Pearch belongs to the Search & Data Extraction category with cloud HTTP/SSE execution.

How do I install GlianaAI or MCP Pearch 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 GlianaAI and MCP Pearch free or paid?

GlianaAI operates under a Free / Open Source model (No auth required). MCP Pearch operates under a Freemium model (API Key required).

Which MCP server has more tools and community activity?

GlianaAI lists 7 tools with 2 views and 0 GitHub stars. MCP Pearch lists 4 tools with 2 views and 9 GitHub stars.

Can I use both GlianaAI and MCP Pearch 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

GlianaAI vs MCP Pearch

In-depth architectural comparison of the GlianaAI and MCP Pearch 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

GlianaAI

Search & Data Extraction · Local stdio

Quality: 53/100 (Good) | Auth: No auth required

MCP Pearch

Search & Data Extraction · Remote HTTP/SSE

Quality: 51/100 (Good) | Auth: API Key required

Verdict Summary: Choose GlianaAI if you need specialized Search & Data Extraction tools running via a local process. Choose MCP Pearch if your workspace requires Search & Data Extraction integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose GlianaAI when:

You need dedicated capabilities in the Search & Data Extraction domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: list_models, get_price, get_schema.

Explore GlianaAI Details

Choose MCP Pearch when:

You need dedicated capabilities in the Search & Data Extraction domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: API Key required (Freemium).
You have access to required keys: PEARCH_API_KEY, PEARCH_API_URL.
Primary tools included: search_people, search_company_leads, get_profile.

Explore MCP Pearch Details

Feature & Specification Comparison

Specification	GlianaAI Search & Data Extraction	MCP Pearch Pearch-ai Search & Data Extraction
Summary	Pay-per-call AI: 59 generative models (image, video, music, speech). No signup, no API key.	Best people search engine that reduces the time spent on talent discovery
Category & Scope	Search & Data Extraction	Search & Data Extraction

Tools & Capabilities Breakdown

GlianaAI Tools (7)

list_models

Every model: id, category, provider, per-call price.

get_price

Exact cost of one call (input affects it — video duration, TTS length).

get_schema

A model's input fields (required, defaults).

generate

Run a model → media URL, or assistant text for chat models.

list_tools

Every utility tool: price, HTTP method, example input, guidance.

tool

Run one utility tool — scraping, screenshots, social cards, OCR, structured extraction, market data, chain RPC, reference data.

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).

GlianaAI Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "glianaai": {
      "command": "npx",
      "args": [
        "-y",
        "gliana-ai-mcp"
      ]
    }
  }
}

MCP Pearch Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "pearch-ai-mcp-pearch": {
      "url": "https://mcp.pearch.ai/mcp"
    }
  }
}

Frequently Asked Questions

GlianaAI is categorized under Search & Data Extraction and uses a local stdio subprocess. In contrast, MCP Pearch belongs to Search & Data Extraction using remote streaming HTTP/SSE transport. Select GlianaAI when you need capabilities focused on search & data extraction and MCP Pearch when you require tools for search & data extraction.

More alternatives to GlianaAI More alternatives to MCP Pearch Search & Data Extraction category hub