- Home
- MCP servers
- Knowledge Base
Knowledge Base
- python
21
GitHub Stars
python
Language
6 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
This MCP server provides intelligent knowledge-base search and management for FastGPT. It connects to multiple knowledge sources, enables adaptive keyword expansion, and supports cross-dataset, multi-level searches to help AI quickly locate relevant information and understand complex contexts.
How to use
You connect your FastGPT client to the knowledge-base MCP server via the SSE endpoint and start sending search queries. The server automatically expands your keywords, explores datasets, and returns organized results with detailed content when needed. Use the multi-dataset search to query across datasets and the view collection content tool to inspect full documents.
Key usage flow you should follow:
- Expand your search terms with intelligent keyword expansion to include synonyms and related terms.
- Discover relevant datasets by browsing the dataset tree and folders.
- Perform precise searches within a specific dataset to retrieve exact content.
- Run parallel searches across multiple datasets to speed up results.
- Open full documents to view complete content and metadata when needed.
Available tools
get_dataset_tree
Fetches the knowledge-base directory tree to browse datasets and folders.
search_dataset
Performs a precise search within a specified dataset.
multi_dataset_search
Executes parallel searches across multiple datasets and aggregates results.
view_collection_content
Retrieves the full content of a document or collection item.
expand_search_keywords
Expands a query with intelligent synonyms and related terms to improve search results.
explore_folder_contents
Explores nested folders to surface deeper knowledge resources.