AIBase
EN
Explore
Langchain MCP
L

Langchain MCP

This project provides support for Model Context Protocol (MCP) tool calls for LangChain, enabling interaction with AI models through the MCP toolkit, such as file reading and summary generation.
Developer toolsArtificial intelligence chatbots#LangChain Plugin#MCP Tool#AI Interaction.Python
3.5 points
10.2K
Open Site

Overview

Content Details

Alternatives

What is the Model Context Protocol (MCP) Server?

The MCP server is a tool that supports the model context protocol, allowing developers to easily integrate models into various applications. MCP provides a standardized interface that enables models to access external resources (such as file systems and databases) and perform specific tasks.

How to use the MCP Server?

First, install the MCP toolkit and initialize a session. Then, call the built - in tools to implement specific functions. For example, you can read files, perform complex calculations, or generate natural language summaries.

Applicable Scenarios

The MCP server is suitable for application scenarios where models need to interact with the external environment, such as intelligent assistants, data analysis platforms, and automated process management systems.

Main Features

File Access
Read local or remote files through a standard interface, supporting parsing of multiple formats.
Custom Toolkit
Create a专属 toolkit according to requirements to meet personalized development needs.
Security Control
Provide a strict permission management mechanism to ensure the security of data operations.
Advantages
Simplify the integration process of models with external systems
Support cross - platform deployment and expansion
Provide strong security guarantees
Limitations
Requires a certain technical background for efficient use
Some advanced functions may depend on specific hardware support

How to Use

Install the MCP Toolkit
Install langchain - mcp via pip and import the required modules.
Initialize a Client Session
Create a new session instance using mcp.ClientSession.
Get Available Tools
Call the get_tools method in the toolkit to list all available tools.

Usage Examples

Case Title: Read a File and Generate a Summary
Demonstrate how to extract information from a file and generate a short summary.
Case Title: Execute a Database Query
Show how to use the MCP server to connect to a database and retrieve data.

Frequently Asked Questions

Which programming languages does the MCP server support?
How to handle the risk of data leakage?

Related Resources

Official Documentation
Comprehensively understand the functions and usage guidelines of MCP.
GitHub Repository
View the source code and participate in contributions.
Video Tutorial
Quick start guide.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.7K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.2K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.5K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.4K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
6.1K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
8.6K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
6.7K
4 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
21.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
17.9K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
31.1K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
61.9K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
57.4K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
26.9K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
18.8K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
84.9K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase