# modelcontextprotocol/csharp-sdk

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3,912 stars · 628 forks · C# · other

## Links

- GitHub: https://github.com/modelcontextprotocol/csharp-sdk
- Homepage: https://modelcontextprotocol.github.io/csharp-sdk/
- awesome-repositories: https://awesome-repositories.com/repository/modelcontextprotocol-csharp-sdk.md

## Description

The Model Context Protocol C# SDK is a library for building clients and servers that implement the Model Context Protocol to integrate AI tools and resources. It provides an AI tool integration framework and a multi-modal content handler to exchange text, images, and binary resources between AI models and external context providers.

The SDK utilizes a JSON-RPC communication library to manage bidirectional data exchange. It features a transport-agnostic communication layer that supports standard input and output, HTTP, and in-memory pipes, with specific integration for ASP.NET Core hosting.

The framework covers tool and prompt management, including schema-driven tool generation and attribute-based capability discovery. It supports resource management via URI-template mapping, asynchronous task orchestration, and secure authorization workflows through token exchange and identity assertion.

## Tags

### Artificial Intelligence & ML

- [AI Integration Protocols](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-systems-frameworks/model-integration-serving/model-integration-interfaces/ai-integration-protocols.md) — Provides a standardized communication protocol for exchanging context, tools, and data between AI systems and software.
- [Model Context Protocol Servers](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-systems-frameworks/agent-capabilities-skills-tooling/agent-tooling-protocols/model-context-protocol-servers.md) — Implements the server-side framework for exposing tools, prompts, and data resources to AI hosts.
- [Tool Orchestration](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-systems-frameworks/model-integration-serving/ai-model-orchestration/tool-orchestration.md) — Coordinates tool definitions and execution flows between AI models and clients using machine-readable schemas.
- [AI Tool Integrations](https://awesome-repositories.com/f/artificial-intelligence-ml/ai-tool-integrations.md) — Converts discovered server tools into compatible formats for direct consumption by AI chat clients. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/getting-started.html))
- [MCP Client Implementations](https://awesome-repositories.com/f/artificial-intelligence-ml/artificial-intelligence-tooling/agent-and-tool-integrations/mcp-server-integrations/transport-layer-implementations/mcp-client-implementations.md) — Provides a full client-side framework for connecting to MCP servers via stdio, SSE, or HTTP transport. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/getting-started.html))
- [MCP Servers](https://awesome-repositories.com/f/artificial-intelligence-ml/mcp-servers.md) — Provides a framework for implementing MCP servers that expose tools, prompts, and data sources to AI models. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/getting-started.html))
- [Resource Exposure](https://awesome-repositories.com/f/artificial-intelligence-ml/mcp-servers/resource-exposure.md) — Exposes files, database records, and API responses as read-only resources for AI model context. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/resources/resources.html))
- [Model Context Protocol Clients](https://awesome-repositories.com/f/artificial-intelligence-ml/model-context-protocol-clients.md) — Provides the client-side integration layer allowing AI models to discover and execute remote tools.
- [Model Context Protocol Implementations](https://awesome-repositories.com/f/artificial-intelligence-ml/model-context-protocol-implementations.md) — Provides a C# SDK for building clients and servers that implement the Model Context Protocol.
- [Context Sharing](https://awesome-repositories.com/f/artificial-intelligence-ml/multi-modal-ai-toolkits/context-sharing.md) — Facilitates the passing of rich media like images and audio between AI clients and servers.
- [Dynamic Tool Management](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-systems-frameworks/integration-deployment/agent-frameworks/tool-use-and-execution/agentic-tool-use-frameworks/dynamic-tool-management.md) — Allows updating the list of available tools at runtime and notifying connected clients to refresh their definitions. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/tools/tools.html))
- [Assembly-Based Discovery](https://awesome-repositories.com/f/artificial-intelligence-ml/dynamic-tool-discovery/assembly-based-discovery.md) — Uses assembly scanning and custom markers to automatically register server tools and resources at runtime.
- [Transport Layer Connectivity](https://awesome-repositories.com/f/artificial-intelligence-ml/mcp-servers/transport-layer-connectivity.md) — Connects clients to servers running as local child processes using standard input and output streams. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/transports/transports.html))
- [Tool Invocation Handlers](https://awesome-repositories.com/f/artificial-intelligence-ml/mcp-tool-connectors/tool-invocation-handlers.md) — Enables querying remote servers for tool definitions and executing them through a client interface. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/tools/tools.html))
- [Prompt Templates](https://awesome-repositories.com/f/artificial-intelligence-ml/prompt-templates.md) — Supports the definition of parameterized, reusable message structures that AI clients can discover and compose. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/prompts/prompts.html))

### Data & Databases

- [Multi-Modal Tool Outputs](https://awesome-repositories.com/f/data-databases/multi-source-content-aggregation/multi-modal-content-normalizers/multi-modal-tool-outputs.md) — Provides the ability to return rich media and images from tools for AI model analysis. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/tools/tools.html))

### Development Tools & Productivity

- [Dynamic Resource Templates](https://awesome-repositories.com/f/development-tools-productivity/identifier-generators/uri-resource-identifiers/dynamic-resource-templates.md) — Uses URI templates to match and serve dynamic resources based on provided parameters. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/resources/resources.html))
- [MCP Resource Handlers](https://awesome-repositories.com/f/development-tools-productivity/identifier-generators/uri-resource-identifiers/resource-content-readers/ui-content-retrieval/mcp-resource-handlers.md) — Provides handlers to retrieve data from servers as either plain text or raw byte blobs. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/resources/resources.html))
- [Capability Registrations](https://awesome-repositories.com/f/development-tools-productivity/plugin-registration-systems/marker-registrations/capability-registrations.md) — Implements assembly scanning and attribute markers to automatically register server tools and resources. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/getting-started.html))

### Graphics & Multimedia

- [Prompt Embeddings](https://awesome-repositories.com/f/graphics-multimedia/rich-media-integration/prompt-embeddings.md) — Supports inserting images, audio, and binary resources directly into AI prompt data blocks. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/prompts/prompts.html))

### Networking & Communication

- [AI Client-Server Communication Protocols](https://awesome-repositories.com/f/networking-communication/ai-client-server-communication-protocols.md) — Establishes bidirectional communication between AI applications and data servers using JSON-RPC over HTTP or stdio.
- [JSON-RPC Implementations](https://awesome-repositories.com/f/networking-communication/json-rpc-implementations.md) — Implements a request-response and notification pattern using the standardized JSON-RPC format.
- [Protocol-Agnostic Transport Layers](https://awesome-repositories.com/f/networking-communication/protocol-agnostic-transport-layers.md) — Decouples protocol logic from the underlying data stream via abstractions for HTTP, stdio, and pipes.
- [Connection and Session Management](https://awesome-repositories.com/f/networking-communication/network-reliability-diagnostics/connection-session-management.md) — Coordinates data and command exchanges between clients and servers to maintain stable connection states. ([source](https://csharp.sdk.modelcontextprotocol.io/api/ModelContextProtocol.html))
- [MCP Transport Protocol Supports](https://awesome-repositories.com/f/networking-communication/network-transport-protocols/multi-protocol-transport-abstraction/mcp-transport-protocol-supports.md) — Supports bidirectional communication between remote clients and servers via streamable HTTP or SSE. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/transports/transports.html))
- [Session State Management](https://awesome-repositories.com/f/networking-communication/session-state-management.md) — Tracks client-server connectivity and capability negotiations via unique session identifiers.

### Programming Languages & Runtimes

- [AI Tool Schema Generation](https://awesome-repositories.com/f/programming-languages-runtimes/language-features-paradigms/type-system-tools/type-definitions/callable-signatures/ai-tool-schema-generation.md) — Automatically converts C# method signatures into JSON schemas to make server functions callable by AI models. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/tools/tools.html))

### Web Development

- [Multi-Modal Handlers](https://awesome-repositories.com/f/web-development/backend-development/request-response-handling/http-response-handling/multi-modal-response-handlers/multi-modal-handlers.md) — Implements a handler for exchanging text, images, and binary resources between AI models and context providers.
- [AI Tool Discovery Schemas](https://awesome-repositories.com/f/web-development/schema-driven-api-generators/ai-tool-discovery-schemas.md) — Automatically converts C# method signatures into JSON schemas to make server functions discoverable by AI models.
- [Hosting Integrations](https://awesome-repositories.com/f/web-development/asp-net-core-application-frameworks/hosting-integrations.md) — Integrates with ASP.NET Core to expose protocol capabilities over HTTP with session tracking. ([source](https://csharp.sdk.modelcontextprotocol.io/concepts/transports/transports.html))

### DevOps & Infrastructure

- [Protocol Server Hosting](https://awesome-repositories.com/f/devops-infrastructure/protocol-server-hosting.md) — Enables the operation of protocol servers over HTTP to facilitate communication between models and external context. ([source](https://cdn.jsdelivr.net/gh/modelcontextprotocol/csharp-sdk@main/README.md))