"How to set up an MCP server" matching MCP servers:

An educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server for integrating with various LLM clients like Claude Desktop.

An educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server integrating with various LLM clients.

A Multi-Agent Conversation Protocol Server that provides access to the Go UPC API, allowing agents to look up product information using UPC/EAN/ISBN barcodes.

A containerized MCP server deployed on Amazon EKS that provides a simple calculator tool for adding two numbers. Demonstrates how to deploy and scale MCP servers in a Kubernetes environment with proper session management and HTTP endpoints.

Enables LLMs to communicate with Agent-to-Agent (A2A) protocol compliant agents, providing tools for sending messages, managing tasks, and retrieving agent information.

MCP server for AgentDNS that allows Claude or any MCP client to register a persona, discover and call other agents, and handle incoming messages with human-in-the-loop approval.

Enables AI agents to discover and interact with Proxenio's verified intent network for professional matching, including viewing matches and accepting introductions.

Enables MCP clients to get calibrated probability judgments for choice, score, yes/no, and batch classification questions via the TypeSafe System One API.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Turnkey on-premise private Agentic AI on NVIDIA DGX. Query specs, model CapEx ROI & join Partner Program.

Enables AI agents to publish capability listings, negotiate terms, and form direct peer-to-peer deals via cogDepot's anonymous broker, with tools for discovery, account management, and rating.

Allows Claude Code agents to pull tasks from an EasyTopic Kanban board, automate planning, commenting, approval, implementation, and closing of topics.

A stdio MCP server that lets Claude Code delegate coding tasks to an OpenCode instance (optionally attached to an internal LLM gateway), with follow-up replies, status polling, output/diff retrieval, cancellation, and cleanup handled in a single session. It supports managed or attach modes, sandbox and approval policies, parallel fan-out delegations, and read-only review workflows.

Enables AI agents to perform go-to-market workflows such as company and contact enrichment, CRM querying, and controlled, audited writes to a CRM through MCP tools callable from any MCP client.

Enables remote control of AI coding assistants (Claude Code/Codex) via Telegram, allowing you to manage long-running tasks, send commands, and receive notifications from anywhere. Supports unattended mode with smart polling for up to 7 days and multi-session management.

A structured problem-solving MCP server that breaks down complex tasks into sequential steps, supports iterative refinement and branching, and helps maintain context and explore alternative reasoning paths.

On-demand access to 150+ specialist AI agent templates — search, browse, and spawn agents. 150x reduction in context usage vs loading agents locally.

Enables running code against tests in an isolated sandbox to obtain PASS/FAIL verdicts with signed, offline-checkable certificates, and generating verified code with attached certificates after execution against derived tests.

Enables one AI coding agent to delegate tasks to, and build consensus across, multiple other coding CLIs (Claude Code, Codex, etc.) by orchestrating them as headless subprocesses.

Governance circuit-breaker MCP server that enables AI agents to request risk-based decisions, approve or deny actions, and finalize outcomes with full audit receipts.