"Personalized Summary Service" matching MCP servers:

Enables agents to accomplish multi-step work by writing a single sandboxed JavaScript program that drives shell, filesystem, HTTP, and every tool of any configured MCP server, returning only a small summary instead of raw JSON. This collapses dozens of advertised tool schemas into one tool, cutting per-request context by roughly 26× while keeping disabled upstream servers reachable.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

A Model Context Protocol server that enables Claude and other AI assistants to generate personalized, contextually-relevant coding challenges in JavaScript, TypeScript, HTML, and CSS.

An MCP server implementation that helps Claude remember and learn from programming errors by storing, retrieving, and finding similar errors with full context.

AI code generation service for KPC component library that solves hallucination problems by providing accurate component APIs, validation rules, and usage examples.

An MCP server that enables LLMs to act as an interpreter for the Relative service, providing tools for navigating, reading, editing, executing, and managing models through natural language.

An MCP service that provides AI-powered development workflow tools including specification generation, code review, and project management with support for both OpenAI and Ollama models.

A dynamic service that creates and manages Model Context Protocol (MCP) servers, allowing users to spawn, customize, and control multiple MCP servers as child processes.

A framework to use with AI to easily create a server for any service. Just drop the API Documentation in it and ask to create the MCP.

A simple MCP server sample that provides a greeting tool which echoes back a personalized Japanese greeting message. Demonstrates basic MCP server implementation using FastMCP framework.

A backend service for executing transactions on Binance Smart Chain, enabling secure transfers of BNB and BEP-20 tokens, smart contract interactions, and token creation through structured MCP integration.

A Model Context Protocol service that enables AI assistants to search, retrieve, analyze, and export data from Heptabase backups.

A command-line tool that transforms any OpenAPI service into a Model Context Protocol (MCP) server, enabling seamless integration with AI agents and tools that support the MCP specification.

Provides AI agents access to over 200 AI models and 10 service categories via a unified, metered API with transparent per-call pricing.

Enables container orchestration on the local Docker daemon, allowing management of jobs and services via MCP tools.

Unified MCP server with 46 tools for AI expert consultations, memory service integration (semantic search, knowledge graphs), workflow automation, and code sandboxing.

An enhanced dynamic MCP server management service that creates, runs, and manages Model Context Protocol servers with multi-language support and strict parameter validation.

A minimal demonstration of an MCP service and client that integrates with the qwen API interface, showing basic functionality of a Model Control Protocol implementation.

A simple implementation of a Model Context Protocol server that demonstrates core functionality including mathematical tools (add, subtract) and personalized greeting resources.

A backend service that provides accurate arithmetic calculation capabilities to AI models via the Model Context Protocol, allowing LLMs to offload mathematical computations for numerical queries.

Public implementation of MCP for ROS 2 enabling to interact with system visible various robots, capable of: List available topics List available services Call service Subscribe topic to get messages Publish message on topic and more

An MCP server that implements a conversational AI 'waifu' character using a text generation service with Redis queuing and GPU acceleration.

MCP server wrapping local Ollama models for offload from API-priced orchestrators. Nine stdio tools - generation, summarisation, analysis, drafting, code tasks (docstring/test/explain/review/types/refactor-suggest), diff-driven tasks (commit-message/pr-description/changelog/summary/impact), mechanical transforms, and model management (list/pull). Apache-2.0.

A service that processes natural language requests to perform mathematical calculations by integrating Claude AI with a calculator API through the Model-Context-Protocol architecture.

Enables sandboxed Python execution and read-only SQL queries against a service database through MCP.

A Kubernetes command processing service that converts natural language requests into valid kubectl commands, providing command validation and security checks.

A unified HTTP/HTTPS service that exposes Model Context Protocol (MCP) functionality over HTTP endpoints, allowing clients to list available tools and call them through a standardized API.

Enables AI agents and clients to delegate deterministic operations such as calculations, validation, parameterized queries, and tool execution to a FastMCP-backed service, reducing token usage and hallucinations while supporting local, tunneled, or Cloudflare Edge deployments.

A 3-tier relay service that serves MCP tools via WebSocket, including calculator, scripture lookup, and location-based recommendations.

This MCP server exposes Claude Code as a tool, allowing MCP clients to run Claude Code agents in specified working directories. It manages session persistence and returns structured results including summary, changed files, tests, and blockers.