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qualityEnables integration with Kibela API for searching and retrieving notes, allowing LLMs to interact with Kibela content seamlessly.
Last updated -
3
31
6
TypeScript
MIT License
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Why this server?
Enables seamless integration with Kibela API for searching and retrieving notes, allowing LLMs to interact with Kibela content seamlessly, effectively creating a knowledge base.
Why this server?
Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources. Can be useful as a component of a knowledge base.
Why this server?
Enhances the MCP memory server by implementing PouchDB for robust document storage and enabling the creation and management of a knowledge graph that captures interactions via language models, allowing for a more structured knowledge base.
Why this server?
A documentation server based on MCP protocol designed for various development frameworks that provides multi-threaded document crawling, local document loading, keyword searching, and document detail retrieval.
Why this server?
Automates the creation of standardized documentation by extracting information from source files and applying templates, with integration capabilities for GitHub, Google Drive, and Perplexity AI. Thus allowing to turn source code into knowledge base.
Why this server?
This server allows users to interact with their Zotero library through the Model Context Protocol, providing tools for searching items, retrieving metadata, and accessing full text using natural language queries.
Why this server?
A server that allows you to search and retrieve content on any wiki site using MediaWiki with LLMs 🤖. wikipedia.org, fandom.com, wiki.gg and more sites using Mediawiki are supported!
Why this server?
A Model Context Protocol server that enables AI assistants to interact with Kibela knowledge bases, enabling users to search, create, update, and organize content through natural language.
Why this server?
A server that provides structured access to markdown documentation from NPM packages, Go Modules, or PyPi packages, enabling informed code generation by exposing these docs as resources or tools.
Why this server?
Provides an MCP server that allows AI assistants to interact with Obsidian vaults, enabling reading/writing notes, managing metadata, searching content, and working with daily notes. Thus, can be seen as a knowledge base