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qualityA Model Context Protocol server implementation for interacting with Salesforce through its REST API.
Last updated -
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34
TypeScript
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Why this server?
This server is specifically designed for interacting with Salesforce through its REST API, which is crucial for accessing and analyzing Salesforce documentation.
Why this server?
While focused on Shopify, this server demonstrates the capability to interact with a major platform's data using a GraphQL API, which might be useful if Salesforce also provides a GraphQL API for documentation access.
Why this server?
If Salesforce documentation is stored on GitHub, this server can help in accessing the repositories, files, and more for analysis.
Why this server?
This server is designed to fetch and structure documentation for code packages, which could be used to analyze Salesforce API documentation if exposed as packages or libraries.
Why this server?
This server focuses on retrieving and processing documentation through vector search, which can be very useful for searching and analyzing Salesforce documentation based on their semantic content.
Why this server?
Similar to another documentation retrieval server, useful if the docs are already indexed
Why this server?
This server is designed to enhance responses with relevant documentation, so it can fetch Salesforce docs using semantic vector search.
Why this server?
This server enables semantic search and document management, allowing for natural language queries on documentation which is important when you search for specific Salesforce features within their documentation.
Why this server?
If the documentation is available on Salesforce's website or other public websites, this server can help with researching and extracting the content.