MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. Bu kategoride 13.981 server.
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Lets an AI client discover, search, and install curated agent skills from GitHub collections for local use in agent workflows.
Provides a collection of tools for database intelligence, AI integration, and persistent memory for coding agents.
Lets an AI agent maintain a local, Git-audited Markdown knowledge base of entities and relations through a CLI.
Provides a collection of MCP servers and automation skills to connect AI agents with local files, web search, databases, and development tools.
Tracks MCP protocol proposals, SDK changes, pull requests, releases, and security updates through evidence-linked monitoring.
Provides local-first task continuity and long-term project knowledge for coding agents using Markdown-based memory.
Provides a local gateway for Agnes AI image generation with multi-account pooling and a GitHub REST API connector for MCP clients.
Provides a shared Python runtime, manifest validation, and upgrade tooling for external DCC-MCP adapters like Adobe, CapCut, and OBS.
Enables AI clients to perform secure, read-only network packet analysis using tshark and capinfos across protocols like HTTP, DNS, and TLS.
Manages Cline CLI coding sessions as persistent, observable processes with SQLite state tracking and Telegram notifications.
Provides a hosted Chromium browser for AI agents to navigate websites, interact with forms, inspect network traffic, and take screenshots.
Allows an AI client to write and execute code using an esoteric programming language based on McDonald's menu items.
Demonstrates new methods for Large Language Models to execute code within an MCP server environment.
Analyzes large codebases to identify security vulnerabilities and exploit chains using AI-driven reinforcement learning.
Processes markdown via AST parsing to transform directives into interactive widgets and audit accessibility compliance.