Mcp Server AI Agent Skills

A lightweight Node MCP server around the kagi-ken package, providing access to Kagi.com services using Kagi session tokens: - Search: Searches Kagi - Summarizer: Uses Kagi's Summarizer to create summaries from URLs or text content Unlike the official Kagi API which requires API access, this MCP server uses your existing Kagi session to access both search and summarization features. "Kagi-ken" is a

The goal of this MCP is to: - Consolidate ESP-IDF and related project commands in one place. - Simplify getting started using only LLM communication. Simply find a command that is missing from this MCP and create a PR for it! If you want someone to help you with this implementation, just open an issue. This project is currently a Proof of Concept (PoC) for an MCP server tailored for ESP-IDF workfl

Give any AI the ability to build, validate, and deploy production multi-agent systems. This is an MCP server that connects AI assistants — ChatGPT, Claude, Gemini, Copilot, Cursor, Windsurf, and any MCP-compatible environment — directly to the ADAS platform. An AI developer says "Build me a customer support system with order tracking and escalation" — and their AI assistant handles the entire life

Hardware-accelerated persistent memory for AI agents. Local-first. No cloud. One-time payment. 66.9% on LoCoMo benchmark (adjusted). Under 1ms retrieval. Zero cloud dependency. Retrieval pipeline rebuilt from scratch. - bge-small-en-v1.5 bi-encoder + ms-marco cross-encoder reranker (spec-decode architecture) - BM25 + Porter-stemmed BM25 + named entity injection, fused via RRF - MAGMA graph layer —

Want to use GPT-5, Gemini, or DeepSeek in Claude Code? Today you need to: 1. Create accounts with 5+ AI providers 2. Manage 5+ API keys and billing systems 3. Pay $20-100/month minimums per provider 4. Configure each provider separately That's too much friction. BlockRun MCP gives you access to 30+ AI models with: - Zero API keys - No accounts needed with OpenAI, Google, etc. - One wallet - Single

Own your AI. Agents, memory, tools, and identity that live on your Mac. Built purely in Swift. Fully offline. Open source. Download for Mac · Plugin Registry Models are getting cheaper and more interchangeable by the day. What's irreplaceable is the layer around them -- your context, your memory, your tools, your identity. Others keep that layer on their servers. Osaurus keeps it on your machine.

The implementation of Model Context Protocol (MCP) server for VictoriaLogs. This provides access to your VictoriaLogs instance and seamless integration with VictoriaLogs APIs and documentation. It can give you a comprehensive interface for logs, observability, and debugging tasks related to your VictoriaLogs instances, enable advanced automation and interaction capabilities for engineers and tools

MCP server for xAI's Grok API with agentic tool calling, image and video generation, vision, and file support. - Agentic Tool Calling: Web search, X search, and code execution with multi-step reasoning - Multiple Grok Models: Access to Grok-4.1-Fast-Reasoning, Grok-4.1-Fast-Non-Reasoning, Grok-4-Fast, and more - Image and Video Generation: Create images and videos using Grok Imagine - Vision Capab

Kash MCP Server is a server compliant with the MCP (Model Context Protocol), allowing ChatGPT, Claude, and other MCP-compatible clients to connect to a sales recorder system (or POS, cash register). It provides a simple interface to: - 📊 View sales and revenue - 🧾 Create and record receipts - 🛒 Manage products and stock - 🧠 Generate automated reports through conversational requests Connect you

Pepper gives AI agents eyes and hands inside iOS Simulator apps. It injects a shared library into any running simulator app — no source changes, no SDK, no build step. Your agent sees the screen as structured data, taps buttons, inspects live objects, intercepts network calls, reads the heap, and debugs layout issues. Dylib injection requires the simulator; device support uses a different mechanis

The NocoDB MCP Server enables seamless interaction with your NocoDB database using the Model Context Protocol (MCP). This server makes it easy to perform CRUD (Create, Read, Update, Delete) operations on NocoDB tables through natural language commands. JSON location file in: exampleupload.json This repository is a TypeScript-based fork of NocoDB-MCP-Server. It retains the core functionality while

A comprehensive Go-based MCP (Model Context Protocol) server for mathematical computations, implementing 13 mathematical tools with advanced features and high precision calculations. Owner & Maintainer: Avinash Sangle (avinash.sangle123@gmail.com) 1. Basic Math Operations - Precision arithmetic with configurable decimal places - Addition, subtraction, multiplication, division - Multiple operand su

Enable AI models to interact with a global network measurement platform through natural language. Give network access to any LLM. Globalping is a free, public API that provides access to a globally distributed network of probes for monitoring, debugging, and benchmarking internet infrastructure. With Globalping, you can run network tests (ping, traceroute, DNS, MTR, HTTP) from thousands of locatio

Compose and post formatted content to a Telegram channel -- MarkdownV2 escaping, message splitting, media ordering

Update properties or content across many pages in a Notion database with dry-run and error recovery

AI-powered virtual staging MCP server for real estate professionals. Stage empty rooms with photorealistic furniture, beautify floor plans into 3D renders, classify room images, generate German property descriptions, and get staging style recommendations — all through the Model Context Protocol. Built for Immobilienmakler, PropTech platforms, and real estate photographers in the DACH market. Conne

A structural codebase indexer with an MCP server for AI-assisted development. Zero runtime dependencies — uses Python's ast module for Python analysis and regex-based parsing for TypeScript/JS, Go, and Rust. Requires Python 3.11+. Indexes codebases by parsing source files into structural metadata -- functions, classes, imports, dependency graphs, and cross-file call chains -- then exposes 18 query

Model Context Protocol server for automating Firefox via WebDriver BiDi (through Selenium WebDriver). Works with Claude Code, Claude Desktop, Cursor, Cline and other MCP clients. Repository: https://github.com/freema/firefox-devtools-mcp - Node.js ≥ 20.19.0 - Firefox 100+ installed (auto‑detected, or pass --firefox-path) Recommended: use npx so you always run the latest published version from npm.

A small FastMCP-based Microservice that renders LaTeX to PDF. The server exposes MCP tools to render raw LaTeX or templates and produces artifacts (a .tex file and .pdf) under src/artifacts/. This repository is prepared to run locally and to be loaded by Claude Desktop (via the Model Context Protocol). The default entrypoint is runserver.py. - Render raw LaTeX to .tex and (optionally) .pdf using p

This project provides a FastMCP server for mathematical computations, including numerical and symbolic calculations, as well as plotting. - Python 3.12 or higher (To install Python3.12 follow Python Download) - uv (To install uv follow uv Installation) You can find the mcp.json file in the MCP: Open User Configuration or MCP: Open Workspace Configuration Add the following to your mcp.json: If you'

Find emails needing follow-up -- unanswered sent emails, flagged unreplied, draft contextual responses

Educational MCP server with 17 tools, persistent workspace, and cloud hosting. Built with FastMCP and the official Model Context Protocol Python SDK. Available on: - Official MCP Registry - io.github.clouatre-labs/math-mcp-learning-server - PyPI - math-mcp-learning-server Requires an MCP client: - Claude Desktop - Anthropic's desktop app - Claude Code - Command-line MCP client - Goose - Open-sourc

Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more. This implements the Model Context Protocol Server. Learn more: https://modelcontextprotocol.io This is a TypeScript-based MCP server that implements an implementation into any OpenAI SDK Compatible Chat Completions API. It has one tool, chat which relays a question to a config

A Model Context Protocol (MCP) server implementation for Azure Data Lake Storage Gen2. This service provides a standardized interface for interacting with ADLS2 storage, enabling file operations through MCP tools. Requires Python 3.13 or higher. Install the package using uv: 1 - Edit Claude Desktop Configuration: Open claudedesktopconfig.json and add the following configuration. On MacOs, the file