AI & ML

A comprehensive filesystem MCP server that provides advanced directory analysis, regex-based file editing, Git integration, and atomic batch operations with rollback support.

A comprehensive MCP server for ClickUp offering 170+ tools for managing tasks, docs, and workflows with AI-powered efficiency suggestions and full GitHub Flavored Markdown support.

A Medusa.js documentation MCP server that provides local access to framework docs through fuzzy search, semantic matching, and section retrieval for streamlined development.

A lightweight MCP bridge providing direct access to the TSpec-LLM 3GPP specification dataset and official 3GPP metadata for intelligent telecommunications research and implementation guidance.

A FastMCP server that integrates with the REI3 ticketing system, enabling ticket creation, worklog management, and status updates through an MCP-compliant interface.

A comprehensive Universal Model Context Protocol server for EVM-compatible blockchains, enabling AI agents to perform token swaps, cross-chain bridging, staking, lending, security audits, and market analysis through natural language.

Reduce MCP tool count by 10-100x. TypeScript framework that groups related operations behind discriminators, with automatic schema generation, type-safe validation, token-optimized descriptions, and hierarchical grouping for enterprise-scale APIs.

An enterprise-grade orchestration system that implements the Model Context Protocol to route queries between specialized servers for text analysis, code review, sentiment analysis, and knowledge management.

An MCP server that indexes local Maven and Gradle repositories, enabling AI agents to perform semantic searches, extract method signatures, and decompile source code from Java dependencies.

A specialized SEO and content analysis tool that uses Google-patented fan-out methodologies to identify gaps between user queries and existing content for generative engine optimization (GEO).

A tool for accessing and searching Fediverse Enhancement Proposals (FEPs), bypassing repository bot-protections to allow AI assistants to read standardization documents.

A comprehensive Telegram automation platform featuring over 123 tools for account management, messaging, group administration, and AI-powered content optimization with a dedicated Web Dashboard.

A comprehensive MCP server for interacting with OpenStreetMap data, providing tools for searching geographic locations, validating coordinates, exploring map features, and performing secure edits via OAuth.

A secure Node.js execution environment designed for AI agents to run JavaScript code and manage NPM packages within isolated Docker containers.

A comprehensive QA tool that ingests OpenAPI, Postman, or GraphQL specs to auto-generate and execute API and load tests in multiple languages including TypeScript/Playwright and Python/pytest.

MCP-Insomnia allows AI agents to manage API collections, execute requests, and synchronize data directly with the Insomnia REST client. It supports importing from OpenAPI, Postman, and cURL, and provides deep integration with local Insomnia databases.

A free, open-source, git-native knowledge engine for software projects.

MCP (Model Context Protocol) Server. Integrates with Together AI's API to enable text-to-image generation, offering tools for creating visual content based on text prompts.

MCP (Model Context Protocol) Server. Integrates with the Figma API to enable design file operations, comment management, and access to design assets for AI-driven analysis and collaboration.

The Databricks MCP server enables AI models to interact with Databricks workspaces by listing catalogs, schemas, and tables, as well as executing SQL queries directly on warehouses.

A specialized MCP server that provides bulk domain availability checking via WHOIS lookups, allowing users to verify if multiple domain names are available for registration.

The Yeelight MCP Server allows AI assistants to control and monitor Yeelight Pro smart devices, enabling natural language commands for lighting, scenes, and status queries.

MCP (Model Context Protocol) Server. Integrates with Supavec to efficiently retrieve contextually relevant embeddings and associated content for enhancing knowledge retrieval and semantic search applications.

Persistent memory with hierarchical categorization, semantic search, and intelligent auto-detection. Install via PyPI.

Automatically validates consistency between AI-generated frontend and backend code by enforcing OpenAPI 3.0 specifications and injecting smart constraints into AI prompts.

MCP (Model Context Protocol) Server. Provides structured memory management for project-based work through markdown file storage, enabling persistent context across chat sessions with efficient Lunr.js indexing for retrieval, updating, and relating memories.

MCP (Model Context Protocol) Server. Provides a PyTorch CI/CD analytics API for investigating build failures, analyzing test flakiness, and monitoring performance trends across the PyTorch infrastructure.

MCP (Model Context Protocol) Server. Provides structured access to International Monetary Fund datasets, enabling retrieval of economic indicators and financial statistics for research and analysis workflows.

A bridge to the promptz.dev platform that allows developers to search and integrate curated prompts and project rules directly into their development workflow.

Enable AI assistants to reflect on, critique, and continuously improve their own performance using Mandoline's evaluation framework.