Search for:
Why this server?
Enables AI assistants to control a browser through a set of tools, allowing them to perform web automation tasks like navigation, typing, clicking, and taking screenshots which can be used in coding scenarios.
Why this server?
Helps large language models process code repositories by providing file tree generation, code merging, and code analysis capabilities which are useful for coding.
Why this server?
A comprehensive Model Context Protocol server providing 37+ intelligent development tools across JavaScript/TypeScript, Rust, and Python with security-first design and high-performance features which are all relevant to coding.
Why this server?
Integrates AI safety analysis, red-teaming, and prompt auditing directly into MCP-compatible clients like Claude Desktop and Cursor IDE, allowing real-time analysis of prompts and detection of jailbreak attempts, which is good for people who code with AI.
Why this server?
A collection of Model Context Protocol servers providing advanced capabilities for AI assistants including professional accuracy enforcement, tool safety protocols, user preference management, and intelligent context monitoring, which are all relevant to coding.
Why this server?
Enables AI assistants to interact directly with Ansible, allowing them to execute playbooks, manage inventory, check syntax, and perform other Ansible operations, useful for people who code.
Why this server?
Helps large language models process code repositories by providing file tree generation, code merging, and code analysis capabilities which are useful for coding.
Why this server?
Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database which is good for debugging.
Why this server?
Helps large language models process code repositories by providing file tree generation, code merging, and code analysis capabilities which are useful for coding.
Why this server?
Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation, helpful for coding.