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Exposes runtime-local capabilities from browsers, apps, devices, and local processes to AI agents through a unified MCP bridge, enabling path-based discovery an
Exposes runtime-local capabilities from browsers, apps, devices, and local processes to AI agents through a unified MCP bridge, enabling path-based discovery and invocation of live context.
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Expose runtime-local capabilities to AI agents - not just servers.
MDP is a bridge for capabilities that live inside active runtimes. Browsers, apps, local processes, IDE extensions, devices, and embedded runtimes can register structured paths with one MDP server, and MCP-compatible hosts can discover and invoke them through a stable bridge surface.
Most agent integrations assume useful capabilities live in MCP servers.
In practice, the best context often lives somewhere else:
These runtimes are not naturally MCP servers.
Without MDP, teams usually end up:
MDP makes runtime capabilities discoverable as a path catalog.
/browser
/tabs
/active
/dom
/selection
/actions/click
That runtime can be:
Each path can be discovered and invoked. The runtime keeps ownership of the actual capability, while the MDP server owns registration, routing, and MCP exposure.
The path model is the API. Clients register descriptors with expose(), and hosts discover or invoke them through listClients, listPaths, callPath, and callPaths.
MDP does not flatten everything into a giant tool list. It supports endpoint paths, prompt paths, and skill paths:
GET /search/prompt.md/skill.mdSkills work well for progressive disclosure:
/workspace/review/skill.md
/workspace/review/files/skill.md
/workspace/review/files/diff
An agent can start at a high-level skill, then read deeper paths only when it needs more context.
Browser / App / Device / Local Process
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v
MDP Client
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v
MDP Server
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MCP Host
Agents do not need to know where a capability lives. A browser tab, VSCode extension, local process, or device runtime can all appear through one unified bridge surface.
The core responsibilities stay separate:
Because not every useful runtime should become a server.
| Scenario | Plain MCP server | MDP |
|---|---|---|
| Browser tab state | Hard to expose without custom glue | Native runtime client |
| Mobile or device APIs | Often unrealistic as a server | Expose in place |
| Local app runtime | Heavyweight for simple local context | Direct runtime bridge |
| Multi-agent shared context | Fragmented across hosts | One shared registry surface |
Expose a browser selection path from a runtime client:
client.expose({
path: '/browser/selection',
description: 'Read the current browser selection.',
handler: async () => ({ text: window.getSelection()?.toString() ?? '' })
})
The MCP host sees /browser/selection through the MDP bridge. The call still executes inside the live browser runtime.
ws / wss and http / https loop transportsGET /mdp/meta probing and optional upstream discovery./.mdp/store when enabledMDP is language-agnostic, but this repository currently ships the TypeScript/JavaScript reference implementation.
MDP is the missing layer between runtime-local capabilities and AI agents.
At a high level, one user can work through different agent UIs such as Claude Code, Codex, or Cursor. Each UI talks to its own mdp server, those servers form a primary-secondary triangle, and all mdp clients connect only to the primary:
flowchart LR
user["User"]
subgraph agents["Agent UI"]
claude["Claude Code"]
codex["Codex"]
cursor["Cursor"]
end
subgraph servers["MDP Server Federation"]
primary["Primary MDP Server"]
secondaryB["Secondary MDP Server B"]
secondaryC["Secondary MDP Server C"]
end
clients["MDP Clients"]
endpoints["Endpoints"]
skills["Skills"]
prompts["Prompts"]
user --> claude
user --> codex
user --> cursor
claude <-->|"local host link"| secondaryB
codex <-->|"local host link"| primary
cursor <-->|"local host link"| secondaryC
primary <-->|"federation"| secondaryB
primary <-->|"federation"| secondaryC
secondaryB <-->|"federation"| secondaryC
primary <-->|"client sessions"| clients
clients --> endpoints
clients --> skills
clients --> prompts
One invocation can go directly to the primary server, or pass through a secondary server when one is present:
sequenceDiagram
participant User
participant Agent as AgentUI
participant Secondary as Secondary Server
participant Primary as Primary Server
participant Client as MDP Client
participant Runtime as Local Runtime
User->>Agent: ask for an action
opt AgentUI is attached to a secondary server
Agent->>Secondary: call local mdp server
Secondary->>Primary: federated request
end
opt AgentUI is attached directly to the primary server
Agent->>Primary: call local mdp server
end
Primary->>Client: route MDP call
Client->>Runtime: execute local logic
Runtime-->>Client: result
Client-->>Primary: callClientResult
opt Result returns through a secondary server
Primary-->>Secondary: federated result
Secondary-->>Agent: tool result
end
opt Result returns directly to the primary-side AgentUI
Primary-->>Agent: tool result
end
Agent-->>User: answer
Connection setup follows the same structure:
packages/protocol: protocol models, message types, guards, and errorspackages/server: MDP server runtime, transport server, and fixed MCP bridgepackages/client: JavaScript client SDK and browser bundlesdks/python: Python client SDKsdks/go: Go client SDKsdks/rust: Rust client SDKsdks/jvm: Java and Kotlin client SDKssdks/dotnet: C# client SDKapps/chrome-extension: packaged Chrome runtime integrationapps/vscode-extension: packaged VSCode runtime integrationdocs: VitePress documentation site and PlaygroundUse the docs for getting started, exact tool and API formats, and packaged integration guidance:
For contributor workflow, release automation, maintainer setup, and CI internals, see CONTRIBUTING.md and docs/contributing.
Выполни в терминале:
claude mcp add model-drive-protocol-mcp-server -- npx Безопасность
Низкий рискАвтоматическая эвристика по публичным данным — не гарантия безопасности.