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Model Context Protocol (mcp)

Model Context Protocol is an open, JSON-RPC 2.0 protocol from Anthropic that standardizes how AI applications (hosts) connect to external systems via servers that expose tools, resources, and prompts. MCP is positioned as "a USB-C port for AI applications" and has become the de-facto integration layer for Claude, ChatGPT, Cursor, Visual Studio Code, and a growing ecosystem of agent runtimes. This topic repo catalogs the canonical specification, the official multi-language SDKs, the reference server collection, community registries (Smithery, Pulse MCP), and major MCP-aware clients, plus the vocabulary, JSON Schema, JSON-LD, and example payloads needed to reason about the protocol.

URL: Visit APIs.json URL

Run: Capabilities Using Naftiko

Tags

  • Model Context Protocol, MCP, AI Agents, Tools, Resources, Prompts, JSON-RPC, Anthropic, Standards, Topic

Timestamps

  • Created: 2026-05-22
  • Modified: 2026-05-22

Landscape

MCP is structured around three actors:

Actor Role
Host The LLM application (Claude Desktop, Cursor, VS Code, ChatGPT) that initiates connections, manages consent, and drives the conversation.
Client A connector inside a host that talks to exactly one server over a single transport.
Server A process that exposes tools, resources, and prompts, and may request sampling, roots, and elicitation from the client.

Servers offer tools (callable functions with JSON Schema 2020-12 input), resources (URI-addressable context), and prompts (templated workflows). Clients may offer sampling (server-initiated LLM calls), roots (filesystem boundaries), and elicitation (user input requests). All traffic is JSON-RPC 2.0 over stdio (local) or Streamable HTTP (remote, with optional OAuth 2.1). The current dated specification version is 2025-11-25.

Feature Matrix

Feature Surface Initiator Notification
Tools tools/list, tools/call Client → Server notifications/tools/list_changed
Resources resources/list, resources/read, resources/subscribe Client → Server notifications/resources/list_changed, notifications/resources/updated
Prompts prompts/list, prompts/get Client → Server notifications/prompts/list_changed
Sampling sampling/createMessage Server → Client
Roots roots/list Server → Client notifications/roots/list_changed
Elicitation elicitation/create Server → Client
Completion completion/complete Client → Server
Logging logging/setLevel, notifications/message Bidirectional
Progress notifications/progress Bidirectional
Cancellation notifications/cancelled Bidirectional

APIs

MCP Specification

The authoritative protocol definition for the Model Context Protocol, maintained at modelcontextprotocol.io and in the modelcontextprotocol/specification GitHub repository. The TypeScript schema (schema.ts) is the source of truth, with an auto-generated JSON Schema (schema.json) for tooling. The current dated version is 2025-11-25.

Human URL: https://modelcontextprotocol.io/specification

Properties

Official SDKs

Language Package Repo
TypeScript @modelcontextprotocol/sdk typescript-sdk
Python mcp python-sdk
Java Maven Central java-sdk
Kotlin kotlin-sdk
C# NuGet (Microsoft collab) csharp-sdk
Swift SwiftPM swift-sdk
Rust crates.io rust-sdk

Reference Servers and Tooling

  • Reference Servers — Everything, Fetch, Filesystem, Git, Memory, Sequential Thinking, Time.
  • MCP Inspectornpx @modelcontextprotocol/inspector, web UI at localhost:6274.
  • Official Registry — Anthropic-maintained server index, API freeze v0.1.

Third-Party Registries

  • Smithery — Server registry plus hosted runtime.
  • Pulse MCP — Directory and news site; sub-registry API implements the Generic MCP Registry API specification.

MCP Hosts

Common Properties

Features

Name Description
JSON-RPC 2.0 Base Protocol MCP defines request, response, and notification message shapes on top of JSON-RPC 2.0 with strict rules on IDs and structure.
Stateful Sessions Clients and servers negotiate capabilities during the initialize handshake and maintain stateful connections for the lifetime of the session.
Tools Servers expose callable tools with JSON Schema 2020-12 input schemas; clients invoke them via tools/call.
Resources Servers expose URI-addressable context (files, database rows, API responses) via resources/list, resources/read, and subscription notifications.
Prompts Servers expose templated prompts and workflows via prompts/list and prompts/get for users to invoke.
Sampling Clients can offer sampling/createMessage so servers can ask the host LLM to run agentic, recursive inference under user consent.
Roots Clients can advertise filesystem roots that bound a server's operating scope via roots/list.
Elicitation Servers can request additional information from users mid-session via elicitation/create.
Multiple Transports MCP defines stdio for local processes and Streamable HTTP (with an optional SSE legacy mode) for networked deployments.
OAuth 2.1 Authorization HTTP-based transports follow an MCP-defined OAuth 2.1 authorization framework; stdio transports retrieve credentials from the environment.
Icons and Branding Implementations, tools, prompts, and resources can publish icon metadata for richer UIs, with strict security constraints on icon URIs.
Reserved _meta Namespace MCP reserves the _meta property with a structured prefix/name format for attaching additional metadata to interactions.

Use Cases

Name Description
IDE Augmentation MCP servers extend coding assistants like Cursor, VS Code Copilot, and Claude Code with project-aware tools, repository search, and terminal/build access.
Knowledge Base Access MCP resources surface documentation, wikis, and structured data stores to AI hosts under user consent.
Workflow Automation MCP tools let agents trigger build pipelines, send notifications, create tickets, and orchestrate multi-step business workflows.
Enterprise Connectors Vendors expose enterprise systems (CRMs, ITSM, data warehouses) as MCP servers so that any MCP-aware host can connect without bespoke integration code.
Local Computer Use Local MCP servers expose filesystem, git, shell, browser, and desktop automation tools to assistants running on the same machine.

Integrations

Name Description
Anthropic Claude Claude Desktop, Claude Code, and the Claude API are first-class MCP hosts and the protocol's reference consumers.
OpenAI ChatGPT ChatGPT supports MCP through the Apps SDK and OpenAI's developer docs.
Cursor Cursor IDE consumes MCP servers via mcp.json configuration.
Visual Studio Code VS Code's Copilot Chat treats MCP servers as agents and tools.
MCPJam MCPJam is a community client implementation for testing MCP servers interactively.
Naftiko Sandbox Naftiko Sandbox is a governed MCP host that compiles capability definitions into sandboxed MCP servers running in containers with policy enforcement.

Solutions

Name Description
Spec, SDKs, and Reference Servers modelcontextprotocol.io publishes the spec, schema, official SDKs for TypeScript, Python, Java, Kotlin, C#, Swift, and Rust, plus a set of reference servers and an Inspector debugging tool.
Official Registry The official MCP Registry is a central index of MCP servers with GitHub OAuth/OIDC and DNS-based ownership verification.
Third-Party Registries Smithery and Pulse MCP provide alternative discovery surfaces and, in Smithery's case, hosted execution of community servers.
Vendor Hosts Claude, ChatGPT, Cursor, VS Code Copilot, Continue, Cline, Zed, Windsurf, and many other assistants act as MCP hosts.

Artifacts

Machine-readable descriptions of the protocol surface.

JSON Schema

JSON-LD

  • MCP Context — aligns MCP types with schema.org where possible (Host/Client/Server as SoftwareApplication/WebAPI, Tool as Action, Resource as DigitalDocument, Prompt as CreativeWork).

Examples

Vocabulary

  • MCP Vocabulary — operational dimension (actors, JSON-RPC methods, transports) and capability dimension (features, capabilities, personas, workflows, security), plus the registry surface.

Notable Absences

  • No public OpenAPI: MCP is JSON-RPC, not REST. The authoritative contract is the TypeScript schema at schema/2025-11-25/schema.ts.
  • No public AsyncAPI: although MCP is bidirectional and event-bearing, the project ships JSON Schema rather than AsyncAPI.
  • No commercial plans or rate limits at the protocol level: registries and hosts publish their own quotas; the spec itself imposes none.

Maintainers

FN: Kin Lane

Email: kinlane@gmail.com

About

An index and topic collection covering Model Context Protocol (MCP) servers, clients, registries, and tooling that connect AI agents to APIs, data sources, and capabilities.

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