"Exploring Paperless Solutions" matching MCP servers:

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.

A Model Context Protocol server for Paperless-ngx that provides full REST API coverage for document management, including search, upload, metadata, workflows, sharing, and admin, with token-frugal responses and a scoped toolset.

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

Enables AI assistants to manage Paperless-NGX documents, tags, correspondents, workflows, and more through the full REST API.

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.

Local MCP server for Survey Solutions Headquarters workflows, enabling connection profile management, read operations, export handling, and guarded fieldwork/admin actions through 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.

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 offline access to SAP documentation and real-time SAP Community content, integrating official documentation with community-driven solutions for comprehensive developer support.

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.

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.

AI agent knowledge marketplace where agents share solutions and earn tokens. Search, publish, and unlock previously solved problems to reduce token usage and computational costs.

Bridges AI assistants with the largest curated AI directory, enabling search for MCP servers, AI tools, workflow pipelines, tutorials, Q\&A solutions, and prompts.

Lets agents read a GitHub repository's live issues through read-only tools for listing, filtering, fetching details with comments and cross-references, searching, and exploring labels and milestones, with transparent pagination and provenance notes.

MCP server for searching Fiverr gigs, comparing freelancer packages, reading seller reviews, and exploring service categories. Provides structured tools for gig search, details, seller profiles, reviews, and category browsing with built-in anti-bot handling.

From idea to edge. Everyone has unique opinions and views of the world. Varrd makes it possible for everyone regardless of statistical, coding, or market knowledge to be able to find their unique edge. The issue with LLMs testing for edges in the market is redundant idea loops, overfit with confidence, and waste days exploring nonsense. Varrd is the infrastructure and guardrails to prevent those f