LangGraph Agent with MCP

Created By
galaxyxyz5a year ago
LangGraph Agent that integrates with MCP servers
Overview

What is LangGraph Agent with MCP?

LangGraph Agent with MCP is a project designed to integrate the Model Context Protocol (MCP) with a LangGraph Agent, enabling dynamic access to external tools, data sources, and APIs.

How to use LangGraph Agent with MCP?

To use this project, clone the repository, install the dependencies, create a .env file with your API keys, and run the MCP server followed by the agent script in your terminal.

Key features of LangGraph Agent with MCP?

  • Integration with MCP servers for enhanced AI capabilities
  • Automatic tool discovery and multi-server support
  • Ability to perform tasks like web searches and summarizing YouTube videos

Use cases of LangGraph Agent with MCP?

  1. Connecting AI systems to various external data sources.
  2. Performing automated web searches and data retrieval.
  3. Summarizing content from platforms like YouTube.

FAQ from LangGraph Agent with MCP?

  • What is MCP?

MCP stands for Model Context Protocol, an open standard for AI applications to interact with external data and tools.

  • How do I install the project?

Clone the repository, install dependencies, and set up your API keys in a .env file.

  • What programming language is used?

The project is developed in Python.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
galaxyxyz5
Star
0
Language
Python
License
-

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

10 hours ago