MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13.985 servers in dieser Kategorie.
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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.
Performs formula-level diffs and structural audits of Excel workbooks to identify broken references, circular dependencies, and model-breaking edits.
Provides a shared playtest desk, backlog, and handoff interface for developers to coordinate tasks and bug reports with coding agents.
Automates the maintenance of AI skill libraries through backups, corruption scanning, decision logging, and health checks.
Allows AI assistants to manage local VirtualBox virtual machines, control snapshots, and execute commands directly inside guest operating systems.
Enforces, validates, and generates Conventional Commits and branch names for Git repositories.
Secures AI coding agents by intercepting and validating MCP tool calls against deterministic rules to prevent malicious injections and unauthorized actions.
A local data workbench that lets an AI client ingest, clean, profile, chart, and model datasets using reversible steps and natural language queries.
Performs automated security probing and vulnerability scanning across 9 attack classes for OpenAI-compatible LLM endpoints.
Provides a searchable catalog of over 12,000 safety-scanned AI agent skills for Claude Code, Cursor, and other MCP-compatible clients.
Enables MCP clients to use Codex as a collaborating agent by starting and continuing threads through the official Codex SDK.
Provides a governance ledger and coordination board to track approvals and prevent collisions in mixed human and AI agent teams.
Validates that MCP server tool responses are genuine by checking for disguised refusals, empty content, and output schema violations.
