MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,954 servers in this category.
An OWL ontology linter that checks for modeling pitfalls, metadata issues, logical consistency, and SHACL validation with Korean language reports.
Grades a domain's email authentication setup by analyzing public DNS records for SPF, DKIM, DMARC, and other security protocols.
Allows AI agents to fill predefined fixed-width slots in files while proving that no other content was modified.
Tests LLM judges for position and padding bias and converts conversation logs into reusable evaluation suites.
Identifies bottlenecks in machine learning training runs, applies optimizations, and verifies speedups without altering the loss trajectory.
Converts Jupyter notebooks into verified Python pipelines by locking outputs and using AI agents to refactor code without changing results.
Scans legacy Python 2 and Django codebases to generate prioritized, phased migration plans for Python 3 upgrades.
A collection of training resources and implementation examples for building, deploying, and consuming Model Context Protocol servers.
Provides LLM-friendly API cards and a static checker for CuPy and nvmath-python to prevent hallucinations in GPU math code.
Enables AI agents to capture, read, and triage bug reports including annotated screenshots and screen recordings stored locally.
Diagnose OAuth discovery and authentication failures on remote MCP servers by simulating a conforming client step-by-step.
Records AI agent steps and uses replay experiments to diagnose and prove the root cause of failures with zero model calls.
Lets an AI client perform evidence-based analysis of X's open-source recommendation algorithm using commit-pinned code spans and a findings ledger.
Provides AI coding agents with secure access to API keys stored in the macOS Keychain using references instead of plain text.
Provides five lightweight, single-purpose MCP servers for arXiv searching, YouTube transcripts, web-to-markdown conversion, market data, and persistent memory.
Performs evidence-based SEO audits by crawling websites and generating actionable remediation reports based on 43 specific rules.
Converts PDF, Word, PowerPoint, Excel, and HTML documents into Markdown using OCR and table detection.
Provides a queryable model of a codebase using SQL to answer structural questions about definitions, callers, and imports.
Lets an AI client check EU Deforestation Regulation compliance regarding CN codes, application dates, and country risk levels using official legal sources.
Provides EU CBAM scope, default emission values, and CN code descriptions using offline copies of official regulatory sources.
