Development MCP Servers — Page 39

A Model Context Protocol (MCP) server that connects TestDino to AI agents. This server enables you to interact with your TestDino test data directly through natural language commands.

Enforce consistent C++ style and best practices across your codebase. Analyze naming conventions, memory safety, and const correctness, and get actionable modernization suggestions up to C++23. Accelerate reviews with ready-made prompts and quick access to curated guidelines.

Visual Studio extension with 20 Roslyn-powered MCP tools for AI assistants. Semantic code navigation, symbol search, inheritance, call graphs, safe rename, build/test.

Persistent, structured memory for AI coding agents. Your repo never forgets.

Context injection for AI agents via MCP. Define path-based policies in YAML — when an agent reads a matching file, relevant knowledge is auto-injected. Prevents mistakes before they happen. Works with Claude Code, Cursor, and any MCP client.

The context API for AI agents

A Model Context Protocol (MCP) server for accessing the OpenTofu Registry.

The Figma MCP server brings Figma directly into your workflow by providing important design information and context to AI agents generating code from Figma design files.

Fact-check and fix AI outputs — hallucination detection, schema validation, and auto-repair.

Deterministic execution engine for AI agents. 412 MCP tools across 78 categories — browser, file, Docker, data, crypto, scheduling, and more.

Unified MCP Server is a remote MCP connector for AI agents and vertical AI products that provides access to 22,000+ authorized SaaS tools across 400+ integrations and 24 categories directly inside LLMs.

The most comprehensive MCP server for Godot Engine. 95+ tools for scene management, GDScript LSP, DAP debugging, screenshot capture, input injection, and CC0 asset library.

Your AI coding agent asks you questions and requests approvals via Slack — so you can respond from your phone, while AFK

Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors

knowledge network for AI coding agents. Developers connect their agents to a shared pool of verified solutions — saving tokens, reducing debugging time, and getting better results. Solution authors earn when their work helps others.

MCP server that provides tools for managing Kubernetes port-forwarding sessions.

Fast semantic code search for AI agents — find symbols, references, and callers across any codebase. Pre-built index committed to git, instant queries via MCP.

Developer resources including GitHub, npm, PyPI, Docker Hub, GitLab, and StackOverflow

Repository analysis, issues, pull requests, and code structure exploration

Lighthouse audits, PageSpeed analysis, SSL checks, tech stack detection, WHOIS and DNS queries

A comprehensive MCP server with 30+ developer tools including JSON/XML formatting, UUID generation, hashing, encoding, regex testing, color conversion, JWT decoding, timestamp conversion, and more.

Firewall for AI agents. MCP proxy that scans tool calls for credential leaks, prompt injection, and tool description poisoning.

Security scanner for MCP servers and agent skills — query trust scores, check for vulnerabilities, and search the Vigile trust registry

Cryptographic identity for MCP clients — Ed25519 keypairs, DID-based verification, trust scoring, encrypted messaging, and artifact signing.

MCP server providing x402 micropayment-powered developer tools including screenshot capture, AI analysis, PDF generation, code security scanning, and dependency auditing via USDC payments on Base.

Hebbian memory for AI agents — learns file access patterns, builds neural pathways, predicts next tools/files, saves tokens

Create and explore Mermaid diagrams in collaboration with AI agents

AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI from natural language.

Universal Code Navigator - a lightweight MCP server that gives AI agents call-graph-level understanding of code. Instead of reading entire files, agents ask structural questions like: "who calls this function", "what breaks if I change it", "what's unused", and get precise, AST-verified answers. UCN parses JS/TS, Python, Go, Rust, Java, and HTML inline scripts with tree-sitter, then exposes 28 navigation commands as a CLI tool, MCP server, or agent skill.

GhostQA sends AI personas through your application — they look at the screen, decide what to do, and interact like real humans. No test scripts. No selectors. You describe personas and journeys in YAML, and GhostQA handles the rest.