MCP Clients

mcp-demo

Streamlit chatbot client demo integrating MCP and LangChain for research assistance.

Search and retrieve scientific papers from ArXiv

Perform linguistic analysis on research documents

systemprompt-mcp-core

Core MCP client for Systemprompt enabling advanced AI agent prompt and tool management.

Manage AI agent prompts dynamically

Extend AI agents with custom tools

tuui

Unified client interface orchestrating AI tools and cross-vendor LLM APIs via MCP.

Integrate multiple AI tools into a single client interface

Orchestrate cross-vendor LLM API calls dynamically

cli

CLI tool to generate and run type-safe MCP servers from OpenAPI specs

Generate MCP server code from OpenAPI specifications

Run MCP servers directly from the command line

agent-mcp

Client enabling seamless multi-agent AI collaboration via Model Context Protocol.

Connect AI agents to a global multi-agent collaboration network

Enable real-time communication between heterogeneous AI agents

mcp-client-langchain-py

Python CLI MCP client using LangChain ReAct Agent for seamless multi-server tool integration.

Integrate multiple MCP servers into LangChain workflows

Enable parallel tool initialization for efficient processing

mcp-terminal

Terminal-based interactive client to run and manage MCP servers efficiently.

Connect to multiple MCP servers simultaneously

Interact with MCP servers via terminal messages

mcp-test-client

crazyrabbitLTC9

TypeScript testing client for MCP servers with tool call support and response validation.

Test MCP server tool listing functionality

Validate MCP server tool call responses

mcp_client_rust

Rust SDK client for MCP enabling seamless AI model and runtime communication with typed methods and subprocess server spawning.

Spawn local MCP servers as subprocesses for AI model interaction

Manage real-time communication between AI models and runtime environments

mcp_client_openai

OpenAI SDK-adapted MCP client for seamless model context protocol integration

Integrate OpenAI SDK with MCP for real-time model context management

Manage MCP client-server lifecycle with enhanced logging

agentic-shell

Natural language shell client generating commands from English text using LLMs.

Run shell commands using natural language input

Autocomplete commands and directories in shell

cmcp

Command-line utility for seamless interaction with MCP servers via JSON-RPC.

Send JSON-RPC commands to MCP servers from the terminal

Test and debug MCP server endpoints interactively

ggMCP4VSCode

VSCode client enabling AI assistants to interact with code and environment seamlessly.

Enable AI assistants to read and analyze VSCode project code

Allow AI to create and edit files within VSCode

mcp_client

Dart plugin enabling Flutter apps to connect and interact with MCP servers seamlessly.

Connect Flutter apps to MCP servers for real-time data access

Execute MCP tools and APIs from mobile or web Flutter apps

MCP_Client

MCP_Client is a PostgreSQL client built on the Model Context Protocol, enabling seamless LLM integration with PostgreSQL databases for real-time data interaction and querying.

Query PostgreSQL databases via LLMs in real time

Integrate PostgreSQL data into AI-enhanced workflows