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@baskaryan @hwchase17 @agola11 |
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From my (very limited and novice) perspective MCP is quickly gaining market adoption and it would seem like a natural step for LangGraph to integrate with it, perhaps eventually even having the tool calling protocol completely handed over to MCP routers at times. All in all, I'm curious about the devs perspective on that one. EDIT: One POC attempt I saw was https://medium.com/@pranavdhoolia/building-our-own-universal-assistant-with-langgraph-and-mcp-50b503fea1f0 & https://www.youtube.com/watch?v=y6MG-aZqmFw |
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But can't WindSurf IDE do all of that for us on our machines?
…On Sun, Mar 2, 2025, 1:36 PM Rafael Reis ***@***.***> wrote:
I'm still confused about the advantages of MCP over other agentic
solutions...
Well, my understanding is that MCP transfer the responsibility of tool
implementation from the dev to the Vendor. It's what the vendor understands
an LLM needs to interact with its services.
IMO it makes more sense, the same way we use APIs and not SQL Queries to
interact with services on the web.
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@cemkod check out https://github.com/langchain-ai/langchain-mcp-adapters |
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Feature request
Support for interacting with MCP servers.
The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers.
https://www.anthropic.com/news/model-context-protocol
https://modelcontextprotocol.io/introduction
Motivation
It would be very useful if we could connect our chains to MCP servers. There are already some useful tool implementations available in MCP server format.
https://github.com/modelcontextprotocol/servers
Proposal (If applicable)
No response
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