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Official C# SDK for Model Context Protocol servers and clients, maintained by the MCP project in collaboration with Microsoft, with NuGet packages for core MCP APIs, hosting and dependency injection extensions, ASP.NET Core HTTP servers, samples, API documentation, and cross-application access support.

Official Go SDK for Model Context Protocol servers and clients, maintained by the MCP project in collaboration with Google, with packages for MCP, JSON-RPC, OAuth primitives, OAuth protected-resource metadata, clients, servers, transports, examples, and conformance work.

Official Java SDK for Model Context Protocol clients and servers, maintained in collaboration with Spring AI, with Java 17+ support, Maven artifacts, synchronous and asynchronous APIs, Reactive Streams, Project Reactor, JDK HttpClient, Servlet transport, JSON binding modules, and conformance tests.

Official Kotlin Multiplatform SDK for Model Context Protocol clients and servers, maintained in collaboration with JetBrains, with JVM, Native, JS, and Wasm targets, coroutine APIs, Gradle artifacts, Ktor integration, stdio, SSE, Streamable HTTP, WebSocket, tools, resources, prompts, sampling, and roots.

Official PHP SDK for Model Context Protocol clients and servers, built with the PHP Foundation and Symfony project, published as `mcp/sdk` on Packagist, with framework-agnostic APIs, attribute discovery, manual registration, stdio and HTTP transports, sessions, tools, resources, prompts, sampling, and logs.

Official Python SDK for Model Context Protocol clients and servers, published as the `mcp` package on PyPI, with FastMCP server helpers, client support, tools, resources, prompts, stdio, SSE, Streamable HTTP, authentication, elicitation, sampling, logging, and standalone development tools.

Official Ruby SDK for Model Context Protocol clients and servers, published as the `mcp` gem with JSON-RPC handling, tool, prompt, and resource registration, stdio and Streamable HTTP transports, Rack/Rails integration, roots, sampling, elicitation, logging, cancellation, pagination, and RubyGems metadata.

Official Rust SDK for Model Context Protocol clients and servers, published as the `rmcp` crate with tokio async runtime support, server and client features, tool macros, resources, prompts, sampling, roots, logging, completions, notifications, Streamable HTTP, child-process transports, and OAuth support.

Official Swift SDK for Model Context Protocol clients and servers, with Swift Package Manager installation, Swift 6+ support, Apple platform availability, MCP client and server APIs, stdio and HTTP transports, tools, resources, prompts, sampling, authentication, and conformance executables.

Official TypeScript SDK for Model Context Protocol clients and servers, with the production v1 `@modelcontextprotocol/sdk` package, active v2 server and client package work, Node.js, Bun, and Deno support, transports, OAuth helpers, tools, resources, prompts, examples, and API documentation.

The official Codacy MCP server (@codacy/codacy-mcp) that gives AI assistants access to the Codacy API for code quality, security, and coverage — listing repository and pull-request issues, retrieving file coverage and duplication, searching security (SRM) findings, inspecting analysis tools and patterns, and running local analysis with the Codacy CLI.

The official Convex MCP server, built into the Convex CLI, that lets AI agents introspect and query a Convex deployment — listing tables, paginating data, running deployed functions and read-only one-off queries, reading logs and function specs, and managing environment variables — with production deployments blocked by default as a safety measure.

The official Infisical MCP server (@infisical/mcp) that lets AI assistants work with Infisical's secrets-management API through function calling — reading, creating, updating, and deleting secrets, and managing projects, environments, folders, and project members — authenticating with a Machine Identity (universal auth) or an access token against Infisical Cloud or a self-hosted instance.

The official InfluxData MCP server for InfluxDB 3 (Core, Enterprise, Cloud Dedicated, Clustered, and Cloud Serverless). It lets LLMs run SQL queries, write line-protocol data, inspect databases and measurement schemas, manage databases and tokens, and check cluster health over the Model Context Protocol.

The official Mux MCP server (@mux/mcp) that gives AI agents access to the Mux API for video and analytics. It uses a "Code Mode" scheme — exposing a documentation-search tool and a code tool that runs agent-written TypeScript against the Mux SDK in an isolated sandbox — to work with Mux Video (assets, live streams, playback IDs, uploads) and Mux Data (viewer metrics and monitoring).

The official Paddle MCP server (@paddle/paddle-mcp) that lets AI assistants work with Paddle Billing — managing the product catalog, prices, and discounts, customers and businesses, subscriptions, transactions and adjustments, and financial reports — over the Paddle API, with sandbox or production environments and a read-only / non-destructive / all tool-permission filter.

The official SingleStore MCP server (singlestore-mcp-server) that lets AI assistants manage SingleStore from natural language — running SQL on a workspace, inspecting organizations, workspace groups, and workspaces, managing starter workspaces, notebooks, scheduled jobs, and Stage files — with no API keys required thanks to browser-based OAuth.

The official Telnyx MCP server (@telnyx/mcp) that lets AI assistants use Telnyx's communications APIs through function calling — messaging (SMS/MMS), voice and call control, phone-number management, SIP connections, verification, and wireless. The npx package proxies to Telnyx's hosted MCP server over HTTPS and authenticates with a Telnyx API key.

The official Tigris MCP server (@tigrisdata/tigris-mcp-server) that connects AI agents to Tigris, a high-performance S3-compatible object storage system — listing, creating, and deleting buckets; listing, uploading, and deleting objects; creating folders and files; and generating shareable links — using S3-style access keys against the Tigris endpoint.

The official Xero MCP server (@xeroapi/xero-mcp-server) that lets AI assistants work with a Xero accounting organisation — managing contacts, chart of accounts, invoices, credit notes, payments, bank transactions, manual journals, quotes, items, and payroll, and reading financial reports — using Xero OAuth2 custom connections or a bearer token.

The official OpenSearch Project MCP server (opensearch-mcp-server-py) that lets AI assistants query and operate OpenSearch clusters — listing indices, reading mappings, running Query DSL and PPL searches, inspecting shards and cluster health — over stdio or streaming transports, with basic-auth, AWS IAM, and header-based authentication.

Microsoft .NET team skill marketplace for AI coding agents working on .NET, C#, ASP.NET Core, Blazor, MAUI, diagnostics, MSBuild, NuGet, upgrades, tests, AI workflows, RAG pipelines, and C# MCP servers.

Integrate with Adyen's payment platform from Claude — create payment sessions and links, cancel/refund payments, manage terminals, webhooks, API credentials, and merchant accounts — with the official Adyen Model Context Protocol server covering Checkout and Management APIs.

Connect Claude to your data through Airbyte's 50+ agent connectors — query CRMs, billing systems, project management tools, communication platforms, and more — with the official Airbyte remote MCP server for AI agents.

Manage your Aiven cloud database services from Claude — list and monitor PostgreSQL, Apache Kafka, ClickHouse, Valkey, and OpenSearch services, execute SQL queries, manage Kafka topics and schemas, tail logs, and optimize queries — with the official Aiven MCP server.

Connect Claude to the full Appwrite backend platform — databases, authentication, serverless functions, teams, messaging, and storage — with the official Appwrite MCP server using dynamic dispatch across the entire Appwrite API surface.

Inspect LLM traces and spans, manage prompts, explore datasets, and review evaluation experiments from Claude — with the official Arize Phoenix MCP server, built into the open-source Phoenix AI observability platform.

Query observability data, manage dashboards, and monitor your systems from Claude — run APL queries against datasets, list metrics, inspect monitors, and retrieve saved queries — with the official Axiom remote MCP server.

Manage Backlog projects from Claude — create and update issues, comment on tickets, manage wiki pages, review pull requests, and navigate your Nulab Backlog space — with the official Backlog MCP server supporting stdio and HTTP transports.

Get accurate Clerk SDK snippets and implementation patterns directly inside Claude — for authentication flows, Organizations, custom sign-in, B2B SaaS, and more — with the official Clerk remote MCP server.