MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,971 servers in this category.
Automates Robot Framework testing by planning, generating, and healing test suites through live application observation.
Lets an AI client design schemas, run CRUD operations, and deploy multi-tenant SaaS applications via 64 specialized tools.
Audits AI agent memory to filter out stale, contradictory, sensitive, or unsupported facts using Cognee-powered guardrails.
Tracks multi-step agent workflow states to verify if proposed moves are allowed based on defined contexts, roles, and gates.
Provides an LLM-ready knowledge base and MCP server for Grow (Meshulam) payment integration documentation and Light API specifications.
Provides a headless runner and Python SDK to execute, compose, and evaluate coding agents in checkpointed, resumable pipelines.
Provides an AI assistant with tools for TCP, DNS, HTTP, SSL, traceroute, and port scanning to perform comprehensive network diagnostics.
Redacts PII and secrets from Python LLM applications, tool calls, MCP resources, and logs locally without external dependencies.
Provides a Model Context Protocol server with a LangGraph agent and a web chat interface to execute tools like web search, GitHub browsing, and dice rolling.
Scans agent skills, MCP servers, and agent configurations for security vulnerabilities mapped to OWASP and NIST standards.
Turns the Claude Code CLI into a strict pair-programmer using engineering rules, runtime hooks, and slash-command skills.
Provides self-hosted license issuing and credit metering for MCP servers, CLIs, and desktop applications.
Performs static security, schema, and token-cost analysis for Model Context Protocol servers to prevent vulnerabilities and context-window bloat.
Lets an AI client search local image and video libraries using text descriptions, example images, or a combination of both.
Allows an AI client to interactively build, fine-tune, and export publication-ready scientific plots as standalone Matplotlib Python code.
Allows an AI client to find, control, and manage Raspberry Pi devices via SSH, remote desktop, and network scanning.
Compresses context for AI coding agents using AST skeletonization and lossless TOON v2 encoding to reduce token usage without losing actionable information.
Provides evidence-first code intelligence for AI coding agents by indexing code, documents, and screenshots with verified claims.
Provides an IDE, linter, simulator, and debugger for Siemens PPCL programming to validate control logic offline.
Enables AI clients to diagnose, modify, and automate FreeCAD models, including sketch repair, parametric rebuilding, and FEM analysis.
