Merge pull request #13868 from koraynar/add-doc-extract-mcp

Add doc-extract-mcp 🐍

README.md

@@ -1852,6 +1852,7 @@ Provides direct access to local file systems with configurable permissions. Enab
 - [Agaveis/hiberden-mcp](https://github.com/Agaveis/hiberden-mcp) [![Agaveis/hiberden-mcp MCP server](https://glama.ai/mcp/servers/Agaveis/hiberden-mcp/badges/score.svg)](https://glama.ai/mcp/servers/Agaveis/hiberden-mcp) 🦀 🏠 🍎 🪟 🐧 - Read and verify your local media-archive catalog from an AI assistant: 3-2-1 coverage across disk, NAS, S3-compatible cloud, and LTO tape. Verifies a copy by physically reading it back and re-hashing it against the source; catalog-management and delete tools are off by default. On Windows it installs as a signed Desktop Extension (MCPB); on Linux the same connector ships as a standalone binary.
 - [box/mcp-server-box-remote](https://github.com/box/mcp-server-box-remote/) 🎖️ ☁️ - The Box MCP server allows third party AI agents to securely and seamlessly access Box content and use tools such as search, asking questions from files and folders, and data extraction.
 - [bzsanti/oxidize-python](https://github.com/bzsanti/oxidize-python) [![bzsanti/oxidize-python MCP server](https://glama.ai/mcp/servers/bzsanti/oxidize-python/badges/score.svg)](https://glama.ai/mcp/servers/bzsanti/oxidize-python) 🐍 🏠 🍎 🪟 🐧 - Rust-powered PDF toolkit: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split, merge, rotate, and reorder pages; add content, annotations, and form fields; and encrypt documents. Ships in the `oxidize-pdf` PyPI package — run locally with `uvx oxidize-mcp`.
+- [koraynar/doc-extract-mcp](https://github.com/koraynar/doc-extract-mcp) [![koraynar/doc-extract-mcp MCP server](https://glama.ai/mcp/servers/koraynar/doc-extract-mcp/badges/score.svg)](https://glama.ai/mcp/servers/koraynar/doc-extract-mcp) 🐍 🏠 🍎 🪟 🐧 - Deterministic document tooling for extraction workflows: list and read PDFs (page ranges), text, CSV and JSON, inspect metadata, chunk long documents with page hints, validate data against a JSON Schema (every error with a JSON-pointer path), and write structured JSON/CSV output. All file access is confined to a configurable root.
 - [risha-max/0xpdf-mcp](https://github.com/risha-max/0xpdf-mcp) [![risha-max/0xpdf-mcp MCP server](https://glama.ai/mcp/servers/risha-max/0xpdf-mcp/badges/score.svg)](https://glama.ai/mcp/servers/risha-max/0xpdf-mcp) 🐍 ☁️ 🍎 🪟 🐧 - Schema-first PDF→JSON MCP for AI agents (0xPdf API). Define a JSON schema, parse invoices/forms (OCR optional), manage schemas, and poll async jobs. `uvx oxpdf-mcp` · [docs](https://0xpdf.io/docs#mcp) · [playground](https://0xpdf.io/samples)
 - [ckanthony/Chisel](https://github.com/ckanthony/Chisel) [![chisel MCP server](https://glama.ai/mcp/servers/@ckanthony/chisel/badges/score.svg)](https://glama.ai/mcp/servers/@ckanthony/chisel) 🦀 🏠 🍎 🐧 ☁️ - Reduce context usage on file use. Send only unified diffs instead of full files (up to 20-100× fewer tokens), and read large files with targeted `grep`/`sed` instead of full reads (up to 500×). Kernel-enforced path confinement hard-locks the agent to a configured root: no accidental reads or writes outside scope. Standalone for your file access or embed in any MCP server (Rust, Node.js, Python via WASM).
 - [Cohexa-ai/agent-coherence](https://github.com/Cohexa-ai/agent-coherence) [![Cohexa-ai/agent-coherence MCP server](https://glama.ai/mcp/servers/Cohexa-ai/agent-coherence/badges/score.svg)](https://glama.ai/mcp/servers/Cohexa-ai/agent-coherence) 🐍 🏠 - Coherence guard for shared files: when two agents write the same file, the stale writer is denied instead of silently overwriting, then reacquires and retries. Single-host, TLA+-verified. Install: `uvx --from "agent-coherence[mcp]" stale-write-guard-fs`.