Langbase

MCP Servers

Model Context Protocol (MCP) Servers provide a powerful way to extend AI capabilities through standardized interfaces. These servers enable seamless integration of external tools and data sources with AI models, creating more intelligent and context-aware applications. The MCP architecture is designed to work with various AI platforms, development environments, and programming languages.

Table of contents

What is MCP?

Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to LLMs. It provides a standardized way to connect AI models to different data sources and tools. You can deploy servers locally or remotely depending on your use case here are some of useful resources:

Here are some useful resources to get started with MCP development and implementation:

Langbase Remote MCP Server

Langbase provides a fully compliant Remote MCP server that enables direct interaction with your Langbase pipes, memories, and agents. Create new pipe agents, upload documents to memory, run existing pipes, and manage your entire Langbase workspace seamlessly from your IDE.

This server transforms your development environment into a powerful AI workspace where you can build, test, and deploy AI agents without leaving your code editor.

Langbase Docs MCP Server

The Langbase Docs MCP server allows IDEs like Cursor, Windsurf, etc., to access Langbase documentation. It provides LLMs with up-to-date context about Langbase APIs, SDK, and other resources present in the docs, enabling LLMs to deliver accurate and relevant answers to your Langbase-related queries.

Perfect for getting instant help with Langbase SDK, API, and troubleshooting directly in your IDE.

Next Steps