"Exploring Paperless Solutions" matching MCP servers:

A read-only and write MCP server for Paperless-ngx, enabling document listing, metadata retrieval, and creation of tags, correspondents, document types, and sorting workflows via natural language.

Enables AI agents to perform software engineering tasks inside an isolated, deterministic sandbox—exploring repositories, reproducing failures, applying patches, running tests, and verifying solutions against hidden suites through MCP tools.

Enables AI assistants to search, inspect OCR content, download, upload, and manage documents in a Paperless-ngx archive through natural language.

Enables searching, tagging, uploading, and reading documents in Paperless-NGX, with management of tags, correspondents, document types, and custom fields via MCP tools and resources.

Provides read-only, authenticated access to prepared Markdown, images, document structure, and original-file references published as immutable versioned bundles alongside Paperless-ngx source documents. It can also explicitly forward selected prepared Markdown into WeKnora's existing ingestion interface without subscribing to future documents.

A read-only MCP server for your paperless-ngx document archive that lets an AI assistant search documents by full text, tags, correspondents, and dates, and read the text of any document.

Connects Claude to a self-hosted Paperless-ngx document archive, enabling natural language search, retrieval, and taxonomy browsing of documents.

Enables per-user document management and retrieval in Paperless-ngx by authenticating each MCP call with the caller's own Keycloak identity, providing the same 44 tools as the upstream server while maintaining per-person isolation.

Safety-focused MCP server and CLI for Paperless-ngx, enabling document metadata inspection, bounded OCR access, taxonomy analysis, and approved classification updates with stale-state checks and rollback.

MCP server for Paperless-ngx document management, enabling search, OCR content access, metadata updates, tag/correspondent/type management, and duplicate detection via natural language.

Search, filter, and sample over a million competition and olympiad math problems (AMC, AIME, IMO, Putnam, MATH, Omni-MATH) by topic, contest, year, and difficulty, and fetch any problem's LaTeX statement with its answer, hints, and solutions where available.

Enables AI agents to describe combinatorial optimization problems as JSON and obtain validated, ranked, re-verified solutions through MCP tools.

Analyzes Python project structure by exploring directory trees, extracting outlines from Python and Markdown files, and inspecting OpenAPI specifications.

Enables exploring and analyzing US Data Analyst job postings, offering job search, salary benchmarking, and skill-demand insights through MCP tools, resources, and a career gap review prompt.

Enables solving crossword puzzles by loading grid and clue files, registering candidate words, checking consistency, and rendering final solutions. Supports Japanese crosswords with automated solving capabilities through natural language interaction.

Security-hardened, read-only MySQL MCP server that enables safe, read-only access to MySQL databases for running SELECT queries, exploring schemas, and sampling data via MCP clients.

Provides four MCP servers for retail/CPG operations (ERP, supplier network, email, spreadsheet) with a staged-write safety model that requires human approval for all mutations.

Enables users to search and access digital collections from the Swedish National Archives (Riksarkivet) through multiple APIs. Supports searching records by keywords, exploring collections, and downloading historical images and documents.

Exposes NCBI PubMed as MCP tools for searching literature, fetching abstracts, exploring citation graphs, and finding author publications without requiring an API key.

An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.