Corvic MCP with Langchain
This tutorial demonstrates how to use the LangChain framework with Corvic's MCP protocol to query an agent and save the result to a local file.
Use Case
We ask the Corvic agent a structured question referencing the NAICS dataset and request the response be written to a file using LangChain's file management tools.
Prerequisites
- Deploy an agent on Corvic using the NAICS dataset.
- Obtain your MCP endpoint and access token from the Corvic dashboard.
- Set up LangChain with the necessary packages:
langchainlanggraphlangchain-mcp-adaptersopenaimcp
Question Asked
As per NAICS codes, Describe wheat farming. Use tools to answer this question.
The answer should be written to a file named results.md
Write the date and time of the response in the file.The following Python code shows the relevant LangChain configuration discussed above:
python
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Response
The agent uses Corvic to retrieve relevant information and the LangChain file management tool to write the answer (including timestamp) to results.md.
Need help? Contact support@corvic.ai or visit https://www.corvic.ai.