Fetch vs MinerU Ecosystem

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

Fetch logoFetchSearch & Data Extraction · Local subprocess (stdio)Web content fetching and conversion for efficient LLM usage.76GreatAuth: no auth requiredMinerU Ecosystem logoMinerU EcosystemSearch & Data Extraction · Local subprocess (stdio)Official MinerU document parsing MCP (mineru-open-mcp on PyPI). Converts PDFs, doc/docx/ppt/pptx, images, and spreadsheets to Markdown via the MinerU API; free Flash mode without an API key (about 20 pages per file); optional MINERUAPITOKEN for higher limits.56GoodAuth: no auth required

Verdict: choose Fetch for search & data extraction work as a local process; choose MinerU Ecosystem for search & data extraction as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Fetch logoChoose Fetch when

  • You need dedicated capabilities in the Search & Data Extraction domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
Explore Fetch

MinerU Ecosystem logoChoose MinerU Ecosystem when

  • You need dedicated capabilities in the Search & Data Extraction domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
  • You have the keys it needs: MINERU_API_TOKEN, OUTPUT_DIR.
Explore MinerU Ecosystem

Feature & specification comparison

Rows where the two servers differ are marked.

SpecFetch logoFetchMinerU Ecosystem logoMinerU Ecosystem
CategorySearch & Data ExtractionSearch & Data Extraction
Quality signal76/100 · Great56/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNo auth requiredNo auth required
PricingFreeFreemium
Required env varsNone listedMINERU_API_TOKENOUTPUT_DIR
Verified owner VerifiedCommunity listing
GitHub stars91,405229
Directory activity 5 views 0 installs 0 upvotes 9 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

Fetch tools

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

MinerU Ecosystem 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.

Fetch

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": [
        "mcp-server-fetch"
      ]
    }
  }
}

MinerU Ecosystem

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "opendatalab-mineru-ecosystem": {
      "command": "uvx",
      "args": [
        "mineru-open-mcp"
      ],
      "env": {
        "MINERU_API_TOKEN": "YOUR_MINERU_API_TOKEN_HERE",
        "OUTPUT_DIR": "YOUR_OUTPUT_DIR_HERE"
      }
    }
  }
}

Frequently asked questions

Fetch is categorized under Search & Data Extraction and uses a local stdio subprocess. MinerU Ecosystem belongs to Search & Data Extraction and uses a local stdio subprocess. Pick Fetch for search & data extraction work and MinerU Ecosystem for search & data extraction.

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.

Fetch is listed as free. Auth: no auth required. MinerU Ecosystem is listed as freemium — a free tier with paid plans. Auth: no auth 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 fetch and opendatalab-mineru-ecosystem as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Fetch has a quality signal of 76/100 (Great) with 5 views, 0 installs and 91,405 GitHub stars. MinerU Ecosystem has 56/100 (Good) with 9 views, 0 installs and 229 GitHub stars.