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by scmdr • Analytics & Monitoring
An MCP server that lets AI agents interact with SourceSync.ai to manage namespaces, ingest documents from many sources, and run semantic or hybrid searches against a knowledge base.
Ingest content from URLs, sitemaps, websites, Notion, Google Drive, Dropbox, OneDrive, Box, or raw text into a centralized SourceSync.ai namespace.
Manage namespaces and document lifecycle actions (create, list, update, delete, resync) and configure storage/embedding backends programmatically.
Perform semantic or hybrid searches over an indexed knowledge base and retrieve full parsed document text via content URLs.
This repository implements a Model Context Protocol (MCP) server for SourceSync.ai, exposing tools to manage namespaces, ingest content (text, URLs, websites, and external services), manage documents, and perform semantic or hybrid searches. It provides connectors and workflows for fetching parsed document content and integrates with AI clients like Claude, Cursor, Windsurf, and Claude Desktop via a command-based MCP server. The server requires a SourceSync.ai API key and supports configuration for tenant and namespace defaults, plus configurable file/vector storage and embedding backends. It is useful for embedding SourceSync.ai knowledge management into agent-driven workflows and local AI tooling.
Validates the API key by attempting to list namespaces. Returns the list of namespaces if successful.
Creates a new namespace with the provided configuration. Requires a name, file storage configuration, vector storage configuration, and embedding model configuration.
Lists all namespaces available for the current API key and optional tenant ID.
Retrieves a specific namespace by its ID.
Updates an existing namespace with the provided configuration parameters.
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