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 monitor Windows system resources, analyze performance spikes, and safely terminate processes with user approval.
Manages software test reports and releases by classifying failures, detecting flaky tests, and providing AI-driven release recommendations.
Provides secure, read-only SQLite access and restricted filesystem tools for MCP clients via stdio.
Compiles SQL queries into ffmpeg commands to perform declarative video processing and metadata extraction.
Provides a curated, automated index of AI agents, MCP servers, agent skills, and multi-agent frameworks.
Allows an AI client to browse chat history, manage workspaces, edit configuration files, and update custom prompts within an ATLAS instance.
A multi-agent Python framework that transforms feature requests into fully planned, coded, and tested software projects using specialized LLM agents.
Lets coding agents record program executions and query the resulting traces for call trees, exceptions, and variable origins.
Allows AI assistants to access long-term time-series sensor history from Home Assistant via a specialized MCP server.
Performs Python code audits using taint-path static analysis and AI-driven verdicts to identify security vulnerabilities and code quality issues.
Enforces security invariants, masks secrets, and provides cryptographic audit receipts for autonomous AI agents and MCP tool runtimes.
Allows an AI assistant to perform read-only analysis of Reddit Ads performance, including campaigns, subreddit breakdowns, and reporting metrics.
Organizes Claude Code and Codex sessions into a unified dashboard with project maps, task tracking, and spoken daily recaps.
Rebuilds PDF tag trees and recovers character maps to create accessible, screen-reader-friendly documents.
Audits repositories against Microsoft's Secure Future Initiative pillars using a read-only scanner and a NIST CSF 2.0 mapped knowledge base.
Enables an AI client to analyze Java heap dumps by running Eclipse Memory Analyzer queries and retrieving structured results.
Mounts MCP servers into Hayate applications across ASGI and Cloudflare Workers using a streamable HTTP boundary.
Performs SAST, secrets, and dependency audits to provide security findings and fix suggestions for AI-driven or human-written code.
Analyzes daily commits across multiple repositories to produce structured Markdown reports and quality dashboards using AI.
Generates schema-driven, type-safe PostgreSQL DML tools for AI agents to perform scoped insert, select, update, and delete operations.
