External MCP Server Details
Neurolink includes an External MCP Server capability, enabling seamless integration with external Model Context Protocol (MCP) servers. This feature loads and manages external MCP servers from a dedicated configuration file (.mcp-config.json), enables real JSON-RPC based communication, and supports end-to-end tool execution within the NeuroLink platform. It is designed for multi-provider AI workflows, allowing providers to delegate tool execution to external servers while preserving type safety, robust error handling, and deterministic behavior. The documentation highlights how to configure external MCP servers, register and discover tools, and perform end-to-end tool execution through the CLI, ensuring a production-ready MCP ecosystem.
Use Case
Use Neurolink's External MCP Server to orchestrate tool execution on external MCP servers. This enables scenarios where providers run tools remotely via JSON-RPC, while Neurolink handles initialization, tool discovery, and call routing. Features include loading external servers from .mcp-config.json, real JSON-RPC communication, process lifecycle management, and automatic tool discovery via tools/list. The system ensures type safety with MCPServerConfig and MCPTool interfaces, and supports timeouts, retries, and proper error handling. Example workflows include configuring filesystem and GitHub/MCP servers, validating tool execution, and running provider-based generation with external tool calls.
Code examples from the docs:
npx tsx test/run-zod-test.tsconst sdk = new NeuroLink();
const result = await sdk.generate({
provider: "vertex", // Uses Gemini by default
schema: MySchema,
// ❌ Fails with "function calling unsupported"
});const sdk = new NeuroLink();
const result = await sdk.generate({
provider: "vertex",
model: "claude-sonnet-4-5@20250929", // ✅ Supports schema + tools
schema: MySchema,
});const sdk = new NeuroLink();
const result = await sdk.generate({
provider: "vertex",
model: "gemini-2.5-flash", // Default Gemini model
schema: MySchema,
disableTools: true, // ✅ Required for Gemini
});Available Tools (5)
Examples & Tutorials
npx tsx test/run-zod-test.tsconst sdk = new NeuroLink();
const result = await sdk.generate({
provider: "vertex", // Uses Gemini by default
schema: MySchema,
// ❌ Fails with \"function calling unsupported\"
});const sdk = new NeuroLink();
const result = await sdk.generate({
provider: "vertex",
model: "claude-sonnet-4-5@20250929", // ✅ Supports schema + tools
schema: MySchema,
});const sdk = new NeuroLink();
const result = await sdk.generate({
provider: "vertex",
model: "gemini-2.5-flash", // Default Gemini model
schema: MySchema,
disableTools: true, // ✅ Required for Gemini
});Frequently Asked Questions
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External MCP Server supports loading external servers from .mcp-config.json, real JSON-RPC communication, and end-to-end tool execution via Tools API. It includes process lifecycle management for external servers (filesystem, GitHub, Bitbucket, etc.), automatic tool discovery via tools/list, and strict type-safety with MCPServerConfig and MCPTool interfaces. Tools are registered and executed through the MCP tool registry and motorized via tool execution options, including timeouts and cleanup. Filesystem operations such as list_directory and read_file are explicitly mentioned as working examples.
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