Lightweight bridge enabling ODBC-backed data access via PyODBC with schema discovery, table metadata, and versatile query outputs.

Hosted evaluation framework enabling Mandoline performance reflection and improvement through structured metrics across AI assistants.

Lightweight example to orchestrate iFlytek SparkAgent tasks via a portable transport, featuring local debugging, tool discovery, and a file upload workflow.

Unified SaaS data endpoint delivering reviews, pricing, sentiment, and competitive insights for rapid research.

Consolidates sector, ticker, and metric data across major exchanges with interactive visuals for rapid market insights.

Comprehensive Ergo MCP server delivering AI-friendly blockchain data, advanced entity clustering, token analytics, and Open WebUI integration with standardized responses.

Java-based sample exposing SESv2 API actions for sending emails and managing AWS SES resources via a protocol interface.

Lightweight Momento integration exposing get, set with TTL, and cache lifecycle commands for rapid MCP testing and inspector-ready workflows.

Bridge enabling direct AI assistant integration with HiveFlow automation, delivering flow creation, execution, and monitoring with secure, configurable access.

Hong Kong Observatory data exposed via an MCP-style interface with modular tools for forecasts, tides, earthquakes, and astronomical data.

Secure remote access to Stape APIs via MCP with easy mcp-remote setup and Claude/Cursor integrations for AI workflows.

Delivers Snowflake Cortex capabilities—Search, Analyst, and Agent—with a dynamic payload builder, exposing tools to clients via stdio/sockets and streaming responses.

Fetches Peacock docs and answers questions via API-powered tooling inside VS Code.

AI-assisted MCP server enabling natural-language control of Apache Ambari for cluster operations, configuration inspection, and AMS data access.

Converts JSON data or public URLs into CSV strings via SSE/Streamable HTTP with two dedicated tools.

Standardized access to Holaspirit data via multiple transports with tasks, circles, roles, meetings, and metrics.

As a Node.js MCP-compliant server, it enables AI models to execute shell commands within a controlled sandbox, backed by blacklist protections, command validation, and robust error handling. It delivers predictable outputs and safe behavior, while offering straightforward Claude Desktop integration for a seamless, end-to-end workflow.

Type-safe MCP client with full protocol support, multi-transport, Claude integration, and tool orchestration for LLM agents.

TypeScript-based toolset enabling precise line-based edits with regex support, dry-run previews, and safe, directory-scoped changes.

Development tool for Model Context Protocol servers

Node.js-based SQLite integration for Claude Desktop via npx, enabling local context storage without Python UVX.

Provides Jenkins build status, triggering, and log retrieval through a standardized interface for AI assistants.

A TypeScript-first runtime exposing a dedicated Run API for context-aware model execution.

Modern Python client for Minecraft servers using MCPQ plugin, leveraging protobuf/gRPC for robust, versioned control and an intuitive turtle-like API.