Development MCP Servers — Page 42

Runtime trust scoring for MCP servers. Monitors 15,000+ servers with reliability metrics, drift detection, and fallback recommendations.

Discover and integrate AI-powered UI components via MCP. High-quality, production-ready UI themes ready to use

Your AI's black box recorder. CLI + MCP server for AI handoffs across Claude Code, Cursor, Codex, Copilot, and more.

MCP server for the Enoch control plane: dispatch gates, evidence sync, provenance, and quality gates for long-running autonomous AI work.

Stop your AI agents from writing sloppy TypeScript.

Browser automation via Chrome DevTools Protocol

Installable MCP server for AgentLux marketplace, identity, creator, services, social, and Base/x402 commerce flows.

A Python MCP package that gives your LLM agents complete file system and shell capabilities — production-ready, sandboxed, and wired to any LLM in minutes.

AES-256-GCM + Argon2id encrypted local vault that resolves {{PLACEHOLDER}} secrets for AI agent credentials.

X (Twitter) data platform skill for AI coding agents. 111 REST API endpoints, 2 MCP tools, 23 extraction types, HMAC webhooks. Read tweets from $0.00015 per call (33x cheaper than the official X API). Pay-per-use via Machine Payments Protocol or Xquik API key.

10 zero-auth developer utilities (JSON, regex, JWT, base64, hash, UUID, timestamp, YAML/JSON, cron) exposed as MCP tools,companion to lit-forge.com.

Non-custodial Solana swap & limit-order MCP server. 21 tools across Raydium, PumpSwap, Orca, Meteora. Jito MEV-protected. Private key never leaves the agent.

The industry-standard doctrine for safe, observable, and steerable AI agent UX — browse 10 principles, curated examples, and application guides via MCP.

Discover and call hundreds of paid APIs from any MCP client using prepaid USDC credits — no wallet, no gas, no per-provider SDKs.

Integrate shadcn space MCP server into your IDE to generate ready-to-use shadcn/ui components without guesswork.

A memory for AI, without cloud service or fee, everything local (Most useful for coding)

MCP-native Web analytics. Install one JS snippet, add the connector to Claude/Cursor/ChatGPT, then ask questions about your traffic directly in chat. No dashboard. No charts. Just answers. EU-hosted, GDPR-ready. Free up to 100k hits/month.

Dependency intelligence for AI agents. CVE scanning, health checks, upgrade planning.

Persistent project memory + architectural decisions + pre-execution safety hooks for Claude Code. Local-only storage, multi-repo workspace, automatic knowledge extraction via background auditor.

KiCAD MCP is a Model Context Protocol (MCP) implementation that enables Large Language Models (LLMs) like Claude to directly interact with KiCAD for printed circuit board design.

Big Brain, Bigger MCP

No-data MCP endpoint for Claude Code to Codex harness migration checks.

Inline review comments for markdown specs and design docs. Agents request human review mid-task via MCP and pause until you send feedback.

Security scanner for MCP servers and AI agent tooling. Detects prompt injection, command injection, auth bypass, and excessive permissions.

Structural code quality analysis for Python with baseline-aware CI governance, canonical reports, and a triage-first MCP control surface for agents and IDEs.

MCP server exposing the full Mistral AI surface (chat, OCR, Codestral FIM, Voxtral audio, vision, agents, moderation, classification, files, batch). Stdio + Streamable HTTP, BYOK with Mistral's free 1B tokens/month

MCP server for e-mail testing: create disposable inboxes, wait for delivery, and extract e-mail content or links - all from your AI agent or test automation workflow.

Local stdio MCP server that lets AI coding agents read and maintain structured architecture, rules, and decisions directly from your repository.

Persistent, inspectable memory for AI agents via hosted MCP and API. Supports recall, structured query, lineage, correction, and tenant-scoped remote memory.

Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (28 meta-tools / 43 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.