gopher

The gopher MCP server is a C++-based implementation of the Model Context Protocol (MCP). It provides a high-performance MCP runtime with a modular filter chain, transport options, and a cross-language C API (libgopher_mcp_c) to expose functionality to Python, Node.js, Go, Rust, Java, C#, and more. The server is designed for low-latency, multi-transport operation with features like connection pooling, circuit breakers, TLS/SSL, and structured observability. Through the included C API bindings, you can register tools, expose resources, and handle requests from MCP clients or AI agents in a sandboxed, high-throughput environment. The server supports common MCP capabilities such as JSON-RPC handling, resources and tools management, prompts, and session management, enabling you to build tool-enabled AI assistants and integrations efficiently. To use it, run the MCP server in your preferred environment (Docker recommended for isolation) and connect clients using the MCP bindings in your language of choice. Tools can be registered by your application, allowing clients to invoke them with structured arguments and receive typed results or textual content. The server’s cross-language bindings ensure you can integrate with Python, Node.js, Go, Rust, Java, C#, Ruby, and other ecosystems without reimplementing protocol logic.

Prerequisites:

• A modern C++14-compatible toolchain (GCC 8+ or Clang equivalent)
• CMake build system
• Optional: Docker for containerized deployment

Step-by-step installation:

1. Clone the repository or obtain the MCP C++ SDK sources:

git clone https://github.com/example/gophersecurity-gopher-mcp.git
cd gophersecurity-gopher-mcp

2. Install dependencies (system packages may vary by platform):

• Build essentials, CMake, and a C++ compiler
• If using the container route, ensure Docker is installed and running

3. Build the project:

mkdir build && cd build
cmake -DCMAKE_BUILD_TYPE=Release ..
cmake --build . --config Release

4. (Optional) Run tests:

ctest --output-on-failure

5. Install (system-wide) binaries or libraries as provided by the build system:

sudo cmake --build . --target install

6. Run the MCP server (example using Docker):

docker run -p 3000:3000 -it gopher-mcp-server

Prerequisites recap: a C++14-capable compiler, CMake, and (for containerized runs) Docker. Adjust paths and image names to match your build output and deployment preferences.

Tips and considerations:

• If you’re integrating via the C API, ensure the libgopher_mcp_c library is linked correctly in your host language binding (Python, Node.js, Go, Rust, Java, C#, Ruby, etc.).
• TLS/SSL and authentication middleware are supported; configure TLS certificates and authentication providers via your server configuration.
• Use the built-in metrics and health endpoints for observability and readiness checks in production.
• When using Docker, prefer a dedicated container image name (instead of a placeholder) and mount configuration files or environment variables as needed.
• For development, enable verbose logging to troubleshoot tool registration, resource subscriptions, and session handling.
• If you plan to run multiple MCP servers, consider configuring per-server rate limits and circuit breakers to isolate workloads.