MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,968 servers in this category.
Lets an AI client search 1C:Enterprise platform API docs, BSL strict typing rules and coding guidelines in Russian or English.
Lets an AI client build and run multi-agent workflows with sandboxed tool execution, hybrid RAG retrieval, and human approval steps.
Enables AI agents and text-only models to analyze images and videos by providing text descriptions of visual content.
Generates Azure architecture design documents and diagrams from natural language prompts with component validation.
Analyzes GX Works3 ladder logic projects to trace device usage, identify dead logic, and troubleshoot coil states without opening the original software.
An extensible desktop AI coding agent that manages code knowledge bases, cross-session memory, and MCP servers.
A Python framework that abstracts AI provider differences to allow developers to build and swap agentic patterns using the Model Context Protocol.
Provides an engineering-grade skill layer for AI agents with 895 validated skills and a smart router for various coding assistants and IDEs.
Connects AI assistants to AutoCAD or Plant 3D via COM for live editing, or uses a headless DXF engine for offline drawing manipulation.
Provides a self-hosted RAG pipeline that crawls documentation and serves semantic search to LLM agents via the Model Context Protocol.
Provides a secure, scoped filesystem for AI agents with read-only defaults, controlled mutations, and native support for Linux, macOS, and Windows.
Analyzes 1C Data Conversion 2.0 exchange rules to trace processes, inspect conversion rules, and identify configuration discrepancies via chat.
Provides AI assistants with persistent, local-first long-term memory using hybrid vector and keyword search across codebases.
A read-only MCP service that lets AI clients safely query production databases, logs, code, and message queues via a secure web console.
Provides a shared canonical memory for AI agent teams using PostgreSQL to store event logs, project briefs, and versioned documents.
Enables web-based AI clients to read codebases, edit files, run tests, and execute commands directly on Windows projects via MCP.
A self-hosted hub that lets you monitor, message, and approve tasks for AI coding agents like Claude Code and OpenAI Codex from your phone.
Turns your laptop into a personal cloud by allowing Claude AI to securely run commands, read and write files, and monitor system resources remotely.
Provides a local-first knowledge library that lets AI clients search documents, carry context between assistants, and build reusable skill drafts.
An enterprise multi-agent framework that provides AI coding assistants with specialized subagents and production-tested engineering skills.
