Mcp Server AI Agent Skills

The Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis. It integrates seamlessly with MCP (Model Content Protocol) clients, enabling AI-driven workflows to interact with structured and unstructured data in Redis. Using this MCP Server, you can ask questions like: - "Store the entire conversation in a stream" - "Cache th

Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools. It turns Keboola features—like storage access, SQL transformations, and job triggers—into callable tools for Claude, Cursor, CrewAI, LangChain, Amazon Q, and more. - Quick Start - Local Setup With the AI Agent and MCP Server, you can: - Storage: Query tables directly and manage table or bucket description

A high-performance Model Context Protocol (MCP) server for Trino implemented in Go. This project enables AI assistants to seamlessly interact with Trino's distributed SQL query engine through standardized MCP tools. This project implements a Model Context Protocol (MCP) server for Trino in Go. It enables AI assistants to access Trino's distributed SQL query engine through standardized MCP tools. T

This repository is no longer maintained. The core functionality has been integrated into all IntelliJ-based IDEs since version 2025.2. The built-in functionality works with SSE and JVM-based proxy (for STDIO) so this NPM package is no longer required. Migration: Please refer to the official documentation for details on using the built-in functionality. Issues & Support: For bugs or feature request

A Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for Retrieval-Augmented Generation (RAG) applications. - Local Vector Storage: Uses FAISS for efficient similarity search without external dependencies - Document Ingestion: Automatically chunks and embeds documents for storage - Semantic Search: Query documents using natural language with sentence

A Model Context Protocol (MCP) server that provides access to the MongoDB Atlas API. This server wraps the mongodb-atlas-api-client package to expose MongoDB Atlas functionality through MCP tools. This MCP server exposes most of the mongodb-atlas-api-client surface as MCP tools. - userget — Get a database user by username - usergetall — List all database users - usercreate — Create a database user

These MCP servers are a part of the Neo4j Labs program. They are developed and maintained by the Neo4j Field GenAI team and welcome contributions from the larger developer community. These servers are frequently updated with new and experimental features, but are not supported by the Neo4j product team. They are actively developed and maintained, but we don’t provide any SLAs or guarantees around

An MCP server that gives AI assistants safe, read-only access to SQL Server databases. Every query is parsed into a full AST using Microsoft's official T-SQL parser — not regex — so comment injection, string literal tricks, and encoding bypasses are blocked at the syntax level. Prerequisite: .NET 10.0 runtime 2. Configure — create ~/.config/sqlaugur/appsettings.json (Linux/macOS) or %APPDATA%\sqla

CRUD operations for knowledge base docs — add, delete, update metadata, embed. Requires GNOSIS_MCP_WRITABLE=true.

A Model Context Protocol server that provides access to BigQuery. This server enables LLMs to inspect database schemas and execute queries. The server implements one tool: - execute-query: Executes a SQL query using BigQuery dialect - list-tables: Lists all tables in the BigQuery database - describe-table: Describes the schema of a specific table The server can be configured either with command li

A Model Context Protocol server that provides read and write access to Airtable databases. This server enables LLMs to inspect database schemas, then read and write records. Step 1: Create an Airtable personal access token by clicking here. Details: - Name: Anything you want e.g. 'Airtable MCP Server Token'. - Scopes: schema.bases:read, data.records:read, and optionally schema.bases:write, data.re

Your AI forgets everything when you close the tab. Phloem fixes that. Phloem is a local MCP server that gives your AI persistent memory across sessions. It works with any tool that supports the Model Context Protocol — an open standard. Today that includes Claude Code, VS Code, Cursor, Windsurf, Zed, Neovim, Cline, Warp, Continue, JetBrains, and more arriving every week. You install it once. Every

- MCP Server: code-to-tree - Using code-to-tree - Configure MCP Clients - Building (Windows) - Building (macOS) The code-to-tree server's goals are: 1. Give LLMs the capability of accurately converting source code into AST(Abstract Syntax Tree), regardless of language. 2. One standalone binary should be everything the MCP client needs. These goals imply: 1. The underlying syntax parser should be v

The MCPR (Model Context Protocol Tools for R) package addresses a fundamental limitation in the current paradigm of AI-assisted R programming. Existing AI agents operate in a stateless execution model, invoking Rscript for each command, which is antithetical to the iterative, state-dependent nature of serious data analysis. An analytical workflow is a cumulative process of exploration, modelling,

Debug AI traces, find exceptions, analyze sessions, and manage prompts via Langfuse MCP. Also handles MCP setup and configuration.

Your MCPs, supercharged. Find any tool instantly, execute with code mode, run on schedule, discover skills, load Photons, ready for any client. Smart loading saves tokens and energy. Instead of your AI juggling 50+ tools scattered across different MCPs, NCP gives it a single, unified interface with code mode execution, scheduling, skills discovery, and custom Photons. Your AI sees just 2-3 simple

Stop copy-pasting between AI models. Roundtable AI is a local MCP server that lets your primary AI assistant delegate tasks to specialized models like Gemini, Claude, Codex, and Cursor. Solve complex engineering problems in parallel, directly from your IDE. Key Features: - Context Continuity: Shared project context across all sub-agents - Parallel Execution: All agents work simultaneously - Model

MCP server for transferring conversation context between AI chats or different projects within the same AI. - Audit Logging (v0.7.0+): Optional structured JSONL logging for diagnostics (--audit flag) - Verbatim Conversation Saving (v0.6.1+): AI saves complete conversations without summarization or abbreviation - Merge Handoffs (v0.6.0+): Combine multiple related handoffs into one unified context -

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one. 1MCP (One MCP) is designed to simplify the way you work with AI assistants. Instead of configuring multiple MCP servers for different clients (Claude Desktop, Cherry Studio, Cursor, Roo Code, Claude, etc.), 1MCP provides a single, unified server. - 🔄 Unified Interface: Aggregates multiple MCP ser

A Model Control Protocol (MCP) server for managing and serving dynamic prompt templates using elegant and powerful text template engine. Create reusable, logic-driven prompts with variables, partials, and conditionals that can be served to any compatible MCP client like Claude Code, Claude Desktop, Gemini CLI, VSCode with Copilot, etc. - MCP Compatible: Works out-of-the-box with any MCP client tha

A Model Context Protocol (MCP) server that connects Claude to the XERT API, providing access to your fitness signature, training load, workouts, and activities. - 📊 Fitness Signature - Get your current FTP, LTP, HIE, and Peak Power - 🎯 Training Status - Check freshness, training load, and recommended XSS - 🏋️ Workout of the Day - AI-powered workout recommendations - 📋 Workouts - List, view det

Production-ready Rust SDK for the Model Context Protocol (MCP) with zero-boilerplate development and progressive enhancement. Build MCP servers in seconds with automatic schema generation, type-safe handlers, and multiple transport protocols. - Rust 1.89.0+ (Edition 2024) - Check with rustc --version - Tokio async runtime Add to your Cargo.toml: Or with cargo: TurboMCP uses feature flags for progr

A Model Context Protocol (MCP) server that enables you to manage Gitea/Forgejo repositories through AI assistants like Claude, Gemini, and Copilot. If you want to: - Smart progress tracking: Let AI help you track project progress and analyze bottlenecks - Automated issue categorization: Automatically tag issue labels and set milestones based on content - Priority sorting: Let AI analyze issue cont

Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test. For the best results, add the following to your custom prompt: This will ensure Cline uses this MCP server to request user feedback before marking the task as completed. Hitting Save Configuration crea