MCP server bridging AI assistants with Azure DevOps for seamless work item and project management via REST API.

Connects agentic systems to searXNG instances, enabling web search queries via a lightweight bridge.

Bridges IoT devices with AI models via MCP and MQTT, enabling natural language control and real-time parameter adjustments.

TypeScript-based Google Search Console data access with enhanced analytics, regex filtering, quick-wins insights, and rich per-dimension queries.

Natural language interface for ThingsBoard enabling AI-driven data queries, device management, and analytics.

Secure, scalable git operations with 27 tools, cross-runtime (Bun/Node), transports, and pluggable backends for edge-ready AI workflows.

Redacts sensitive data from PDFs before sending to Claude, with automatic detection, preview, and redacted file delivery for secure LLM prompts.

Unified interface for MariaDB data access with SQL and embedding-powered retrieval, enabling AI-driven insights across relational and vector stores.

Natural language control over Upstash Redis: create, list, backup, and run commands with HTTP or Docker deployment options, streamlining cloud Redis management.

Lightweight local RAG memory store for MCP agents, enabling persistent memories across sessions with visualization, versioning, and selective recall.

Official QuantConnect bridge enabling AI agents to update projects, backtest, and deploy live strategies securely via Docker.

LeetCode problem search, daily challenges, user and contest data access with CLI and programmable API.

Unified multi-registry search and live package data across NPM, crates.io, NuGet, PyPI, and Go with a single, centralized data tool.

Unified access to GitHub Enterprise data including repos, issues, PRs, workflows, and admin insights via a single interface.

Fast, up-to-date EC2 pricing data with flexible filters and dual deployment options, distinguishing by dynamic data sources and MCP compliance.

Bridge AI assistants to Portainer for natural language control of environments, stacks, users, and deployments with secure, version-aware tooling.

Unified tool harness for AutoGen Studio enabling easy tool discovery, config-driven integration, and flexible templates to rapidly extend AI capabilities.

Open-source desktop AI with local-first memory and voice UI, offering private, extensible MCP integrations.

Model Context Protocol integration enabling LLM-driven YDB queries, analytics, and directory operations with flexible auth.

Unified toolkit delivering prompts and tools to explore, query, and govern Teradata data with AI agents.

Zero-install AI-powered web search using Perplexity Sonar models with citations, featuring robust caching, deduplication, and strict TypeScript.

Lightweight ODBC-enabled data-access layer using SQLAlchemy for flexible DBMS integration with discoverable schemas, tables, and versatile query outputs.

Embeds Snyk OSS, IaC, and Code scanning into editors through LSP, blending CLI data providers with direct Code API for seamless security checks.

Enhances AI-generated code quality with prompt-driven analysis across 10 dimensions for quick, actionable feedback.