MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,958 servers in this category.
Performs local security audits on MCP servers to detect hidden instructions, malware, leaked credentials, and risky tool capabilities.
Provides local-first persistent memory and 26 specialist agents to help AI coding assistants recall decisions, incidents, and project conventions.
An MCP security scanner that uses runtime behavioral verification and canary probes to detect tool poisoning, rug pulls, and deceptive tool descriptions.
Inspect JSON-RPC traffic, audit BPE token weights, and minify JSON schemas for Model Context Protocol servers.
Compares MCP tool catalogs to identify breaking changes and capability drift before they affect AI agents.
Provides an AI client with a centralized catalog of model deployments, including vLLM LLMs, embeddings, and custom service connection details.
Converts AutoCAD plans, DXF/DWG files, or text prompts into precise 3D architectural models in SketchUp with manifold walls and real openings.
Diagnoses Model Context Protocol (MCP) server connection, handshake, and tool discovery issues using offline reports or authorized remote probes.
Provides a local memory layer for coding agents to record and retrieve engineering conclusions using a SQLite database.
Enables AI clients to query live travel agency data including prices, availability, and rules using hybrid PostgreSQL search and local LLMs.
Records all outbound network hosts contacted by an MCP server during tool execution to generate security allowlists and CI compliance checks.
Exposes pico-ioc components as MCP servers using decorators to define tools, resources, and prompts.
Performs static security analysis on MCP servers to detect tool poisoning, hidden instructions, and dangerous capabilities.
Provides an AI coding assistant with a cross-service code map to trace function calls and request chains across Python and C# repositories.
Acts as a dynamic gateway and lazy tool router that aggregates multiple MCP servers to reduce context window token bloat.
Optimizes AI context efficiency for Google Antigravity using local AST parsing, memory management, and token reduction modules.
Enables AI assistants to analyze Unity games and build mods through static analysis and a runtime agent.
Audits MCP server configurations to detect abandoned, deprecated, or unmaintained repositories and packages.
Converts Unreal Engine blueprints, montages, and AnimBP state machines into compact text for AI reasoning and debugging.
Indexes Python, Java, TypeScript, and JavaScript codebases into an embedded graph to answer structural queries with file and line citations.
