AI & ML

A comprehensive TypeScript boilerplate MCP server featuring domain-driven design and dynamic component loading. Provides example tools for calculations and text processing, system resources, and writing assistance prompts.

The VanMoof MCP Server implements the MCP specification to create a seamless connection between AI agents and key VanMoof services like VanMoof customer data, including bike details, VanMoof rider cities, rider preferences and weekly rides.

A production-grade MCP server and client implementation with comprehensive features including structured logging, health checks, metrics, authentication, and RAG capabilities with PostgreSQL vector search. Supports both stdio and SSE transports with containerization and security features for enterprise deployment.

Enables AI assistants to interact with Raworc's agent runtime platform through seamless integration. Supports session management, message handling, space and agent management, and secure secret storage operations.

Provides 84 specialized tools for comprehensive Google Workspace automation including Gmail, Calendar, and Drive operations. Features persistent background service with centralized OAuth authentication through Composio for secure enterprise integration.

A complete MCP server for Retrieval-Augmented Generation with file management and vector memory for agents. Supports multiple document formats (PDF, DOCX, TXT, MD, CSV, JSON) with semantic search using Hugging Face embeddings and ChromaDB for efficient vector storage.

Enables AI assistants to interact with the Clockify API for managing time entries, timers, and team management tasks. It provides tools for searching time records, tracking project hours, and performing high-level analysis like overtime detection and weekly summaries.

Enables AI assistants to store and retrieve memories with semantic search capabilities using vector embeddings. Provides persistent memory storage with SQLite backend for context retention across conversations.

Enables AI assistants to interact with TestRail test management systems through comprehensive API integration. Supports retrieving and updating test cases, projects, suites, runs, and results, plus adding attachments and managing test data through natural language commands.

Enables interaction with Canny.io customer feedback platform through natural language. Supports board management, post creation/updating, search functionality, and comprehensive feedback management operations.

Enables AI assistants to store and retrieve long-term memories using PostgreSQL with vector similarity search. Supports semantic memory operations, tagging, and real-time updates for persistent learning across conversations.

Enables access to AEM block metadata by reading structured information from blocks.json files. Provides a simple tool to list available blocks with their descriptions, file paths, and counts.

Enables AI assistants to access real-time on-chain crypto analytics, whale tracking, and market metrics through natural language queries. It provides access to over 245 endpoints for comprehensive data analysis of assets like Bitcoin, Ethereum, and stablecoins.

Enables LLMs and agents to interact with relational databases (SQL Server, MySQL, PostgreSQL) through MCP tools. Supports executing queries, inserting records, listing tables, and exposing database schemas with secure credential management.

Provides comprehensive access to People Data Labs' data models and search capabilities, enabling enrichment of person and company profiles, multi-criteria searches, and autocomplete functionality through a Model Context Protocol interface.

A server that integrates Playwright with Cloudflare Workers to enable browser automation tasks through LLM models in AI platforms like Claude and Copilot.

Exposes CrewAI tools through a REST API that allows Claude and other LLMs to access web search functionality, data analysis capabilities, and custom CrewAI tools.

Enables AI assistants to manage Dida365 (滴答清单) tasks through the Model Context Protocol. It supports full task lifecycle management including creating, updating, and filtering tasks with automatic timezone handling.

Exposes Petstore API endpoints as tools for AI assistants using the Model Context Protocol via SSE transport. It enables users to interact with the Petstore service through natural language by proxying requests to the target API.

Enables AI assistants to interact with BigCommerce stores through comprehensive REST API integration. Provides tools for managing products, customers, and orders with advanced filtering and relationship tracking capabilities.

Enables searching and accessing Readwise highlights and documents through HTTP endpoints using the Model Context Protocol. Provides vector and full-text search capabilities with streaming responses for retrieving reading highlights and notes.

Automatically tracks and logs all client-agent conversations in real-time without user intervention. Provides conversation history, analytics, weather tools, and continuous system health monitoring with complete request-response pair recording.

Enables AI assistants to render 3D models from OpenSCAD code, generating single views or multiple perspectives with full camera control. Supports animations, custom parameters, and returns base64-encoded PNG images for seamless integration.

Provides Todoist task management capabilities to AI assistants through the Model Context Protocol. Enables users to interact with their Todoist projects and tasks directly through Claude Desktop using natural language commands.

Enables authenticated interaction with Salesforce through OAuth Bearer token forwarding. Allows users to make API calls to Salesforce instances while maintaining secure session-based authentication throughout the MCP lifecycle.

Exposes CDISC standards data including SDTM, ADaM, CDASH, and Controlled Terminology as tools for AI assistants via the CDISC Library API. It enables users to search standards, retrieve domain variables, and access codelist definitions to facilitate clinical research data management.

Enables AI to analyze and transform data using fusion algorithms with statistical, machine learning, or hybrid methods. Provides seamless data format conversion and enhanced analytical capabilities through the Model Context Protocol.

A minimal reference implementation of an MCP server that responds with "Hello, World" via Streamable HTTP. Serves as a baseline for integration testing and MCP client development with production-ready features including health checks, metrics, and containerized deployment.

Structured failure knowledge for AI agents — dead ends, workarounds, error chains

Enables interaction with the PeopleBox Applicant Tracking System (ATS) to manage candidates, positions, and recruitment pipelines. It provides tools for searching candidate profiles, adding notes, and tracking application timelines through natural language interfaces.