pdf-mcp vs everything
Side-by-side comparison to help you pick between these two MCP servers.
pdf-mcp by jztan | everything by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 35 | ★ 85,748 |
| 30d uses | — | — |
| Score | 47 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsFile SystemDeveloper Tools | Developer ToolsAI / LLM ToolsOther |
| Language | Python | TypeScript |
| Last commit | this month | this month |
pdf-mcp · Summary
MCP server enabling AI agents to read, search, and extract content from large PDFs with chunked reading, hybrid search, OCR, and SQLite caching.
everything · Summary
Official MCP test server exercising all protocol features for client builders.
pdf-mcp · Use cases
- Summarizing large PDF documents like annual reports or research papers without context overflow
- Searching and extracting specific information from technical documentation or legal contracts
- Processing scanned documents with OCR capabilities for full-text search and content extraction
everything · Use cases
- Testing MCP client implementations against all protocol features
- Learning MCP protocol capabilities through a reference server
- Validating client compatibility with different transport methods
pdf-mcp · Install
pip install pdf-mcpFor Claude Desktop, add to claude_desktop_config.json:
{
"mcpServers": {
"pdf-mcp": {
"command": "pdf-mcp"
}
}
}everything · Install
NPX (recommended)
{
"mcpServers": {
"everything": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everything"]
}
}
}On Windows, use cmd /c:
{
"mcpServers": {
"everything": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
}
}
}Docker
{
"mcpServers": {
"everything": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/everything"]
}
}
}Global install
npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everything