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  1. Home
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  3. Brightdata MCP
  4. vs Enrichr MCP Server
Side-by-Side Model Context Protocol Comparison

Brightdata MCP vs Enrichr MCP Server

In-depth architectural comparison of the Brightdata MCP and Enrichr MCP Server 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

Brightdata MCP
Search & Data Extraction · Local stdio
Quality: 68/100 (Great) | Auth: API Key required
Enrichr MCP Server
Search & Data Extraction · Local stdio
Quality: 61/100 (Good) | Auth: No auth required
Verdict Summary: Choose Brightdata MCP if you need specialized Search & Data Extraction tools running via a local process. Choose Enrichr MCP Server if your workspace requires Search & Data Extraction integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Brightdata MCP logo

Choose Brightdata MCP when:

  • You need dedicated capabilities in the Search & Data Extraction domain.
  • You prefer local stdio subprocess transport architecture.
  • Your security boundary fits: API Key required (Freemium).
  • You have access to required keys: API_TOKEN.
  • Primary tools included: GROUPS, TOOLS, search_engine.
Explore Brightdata MCP Details
Enrichr MCP Server logo

Choose Enrichr MCP Server 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: enrichr_analysis, suggest_libraries.
Explore Enrichr MCP Server Details

Feature & Specification Comparison

Specification
Brightdata MCP logo
Brightdata MCP
luminati-io
Search & Data Extraction
Enrichr MCP Server logo
Enrichr MCP Server
tianqitang1
Search & Data Extraction
SummaryDiscover, extract, and interact with the web - one interface powering automated access across the public internet.A MCP server that provides gene set enrichment analysis using the Enrichr API
Category & ScopeSearch & Data Extraction

Tools & Capabilities Breakdown

Brightdata MCP Tools (8)

GROUPS
TOOLS
search_engine
search_engine_batch
scrape_as_markdown
scrape_batch
discover
custom

Enrichr MCP Server Tools (2)

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).

Brightdata MCP Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "luminati-io-brightdata-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@brightdata/mcp"
      ],
      "env": {
        "API_TOKEN": "YOUR_API_TOKEN_HERE"
      }
    }
  }
}
Enrichr MCP Server Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "tianqitang1-enrichr-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "enrichr-mcp-server"
      ]
    }
  }
}

Frequently Asked Questions

Brightdata MCP is categorized under Search & Data Extraction and uses a local stdio subprocess. In contrast, Enrichr MCP Server belongs to Search & Data Extraction using local stdio subprocess. Select Brightdata MCP when you need capabilities focused on search & data extraction and Enrichr MCP Server when you require tools for search & data extraction.

More alternatives to Brightdata MCPMore alternatives to Enrichr MCP ServerSearch & Data Extraction category hub

Related MCP Server Comparisons

Popular comparisons with Brightdata MCP

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Popular comparisons with Enrichr MCP Server

Search & Data Extraction
Quality signal68/100 (Great)61/100 (Good)
Transport ProtocolLocal Subprocess (stdio)Local Subprocess (stdio)
Auth RequirementAPI Key requiredNo auth required
Pricing ModelFreemiumFree / Open Source
Required Env Vars
API_TOKEN
None required
Compatible Clients
Claude DesktopCursorWindsurfClineVS Code
Claude DesktopCursorWindsurfClineVS Code
Install path signalnpx · highnpx · high
Engagement & Health 3 views 0 copies 0 upvotes 2,655 stars 1 views 0 copies 0 upvotes 15 stars
Verified / OfficialCommunity ListingCommunity Listing
Open full listingView Brightdata MCP ListingView Enrichr MCP Server Listing
enrichr_analysis
Perform gene set enrichment analysis using Enrichr across multiple gene set libraries. Returns only statistically significant terms (adjusted p < 0.05). Configured default libraries: - GO_Biological_Process_2026: Current Gene Ontology biological process terms — biological objectives and programs accomplished by gene products. The default choice for GO biological process enrichment. - KEGG_2026: Current KEGG metabolic and signaling pathways — the up-to-date KEGG release; prefer over older KEGG vintages. - Reactome_Pathways_2024: Current Reactome release — curated, peer-reviewed pathways for signaling, metabolism, gene expression, and disease. - MSigDB_Hallmark_2020: Hallmark gene sets representing well-defined biological states and processes from MSigDB. - ChEA_2022: ChIP-seq experiments from GEO, ENCODE, and publications identifying transcription factor-gene interactions from human and mouse. - GWAS_Catalog_2025: Current genome-wide association study results from the NHGRI-EBI GWAS Catalog, linking genes to human traits and diseases. - Human_Phenotype_Ontology: Standardized vocabulary of phenotypic abnormalities associated with human diseases. - PPI_Hub_Proteins: Highly connected hub proteins from protein-protein interaction networks. - DGIdb_Drug_Targets_2024: Drug-gene interactions from the Drug Gene Interaction Database — druggable targets and their compounds. - CellMarker_2024: Manually curated cell type markers from CellMarker database for human and mouse. Any library in Enrichr's live catalog is accepted. Enrichr adds and retires libraries continuously, so do not rely on a memorized list: call suggest_libraries, or read the enrichr://libraries resource, to discover the libraries that currently exist. Pass 'background' to test against a custom background gene set (for example, only the genes expressed in your assay) instead of Enrichr's whole-genome default. This is the statistically correct choice whenever the gene list was drawn from a restricted universe, and it matters: the whole-genome default can overstate significance by many orders of magnitude. Each library's result reports 'backgroundCorrected'. If Enrichr's background service is unavailable the result falls back to uncorrected whole-genome p-values, flagged with a warning — treat those numbers as inflated and re-run rather than reporting them as background-corrected.
suggest_libraries
Suggest relevant Enrichr libraries for a research question. Use this before enrichr_analysis to pick the best libraries for a specific topic.
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