MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,953 servers in this category.
Enables AI agents to engineer Skyrim SE/AE mods through typed JSON automation, plugin validation, and Papyrus compilation without manual tool interaction.
A local-first AI context engine that manages project knowledge, code maps, and episodic memories to provide structured context to AI assistants.
Build authenticated, AI-enabled Reflex applications with Mantine UI components, enterprise user management, and MCP integration.
Allows AI clients to interact with dbt projects and data models using the Model Context Protocol.
Adds a status button to the DeepSeek Harness chat header to monitor connected MCP servers and their available tools.
Enables multiplayer collaboration between coding agents by sharing task boards, project context, and direct communication through MCP.
Exports SolidWorks 2026 CAD models to ROS URDF and STL packages with mass, inertia, and mesh validation via a headless COM interface.
Lets AI agents design, wire, inspect, and simulate digital circuits directly within the Logisim Evolution window.
Converts OpenAPI specifications and API inventories into secure, self-hosted, and isolated MCP server runtimes.
Defines a specification for semantic pods that host structured linked data with controlled access via contexts, grants, and SPARQL.
A self-hosted AI workspace that provides a coding agent, deep research, long-term memory, and multi-modal capabilities using local Ollama models.
Provides a self-hosted secrets vault that allows AI agents and automation workflows to securely access credentials through scoped tokens and MCP.
Sync MCP servers, Agent Skills, and AI rules across multiple coding tools like Cursor, Claude Code, and Cline from a single local source.
Transforms generic LLMs into persistent senior engineering peers using a massive offline skills vault and a specialized MCP server.
Exposes an IDA Pro session to AI agents for binary analysis, decompilation, and reverse engineering tasks.
Provides persistent memory and a searchable engineering knowledge base through a Rust-based MCP server.
Enforces verifiable evidence for AI coding agents by requiring successful command execution before marking tasks as complete.
Enables AI clients to perform safe Unity Editor automation, including compile checks, test execution, and scene validation.
Provides design principles, architectural validation, and structured doctrine for AI agents and development workflows.
Provides a workflow and knowledge layer for teams using Claude Code by managing repo-scoped context and filing facts into issues, PRs, and wikis.
