Initiate a guided capstone build to learn all 30 certification task statements by building your own project.
MIT
649,985 tools. Updated 2026-10-10 15:32
"How to build your own knowledge base" matching MCP tools:
- Add a knowledge base to an ElevenLabs agent by supplying a URL, file, or text. Supports EPUB, PDF, DOCX, TXT, and HTML for enhanced agent capabilities.MIT
- List available data sources in the MongoDB Assistant knowledge base to locate search filter parameters for targeted knowledge queries.Apache 2.0
- Add question-and-answer pairs to the company knowledge base to close visitor knowledge gaps. Replacing an existing question updates its answer, preventing duplicate versions.MITDestructive
- Get step-by-step instructions to place, cancel, and claim SMX testnet orders on Base Sepolia from your own wallet. Includes contract addresses, order rules, and the claim-before-cancel safety rule.MIT
- Search your knowledge base and persistent memories via hybrid semantic search. Retrieve relevant memory entries with natural language queries to answer questions and recall information.Apache 2.0
Matching MCP Servers
- AlicenseAqualityCmaintenanceEnables agents to search, read, list, and amend a git-backed markdown knowledge base, automatically committing and publishing changes.4MIT
- AlicenseAqualityCmaintenanceA knowledge base MCP server that aggregates team knowledge from multiple sources into Postgres. It provides hybrid search (full-text + vector + RRF) via MCP tools, and enables direct recording of decisions, learnings, and pitfalls.151MIT
Matching MCP Connectors
- Knowledge BaseOAuth
A searchable knowledge base your assistant reads and writes.
AI-powered knowledge base for Double - Thank You with semantic search and question answering.
- Run a free-form prompt through your organization's AI to get answers with its persona and knowledge base. Use it to draft texts or answer questions from the knowledge base.MIT
- Construct a knowledge graph from a seed memory using embedding similarity to discover how a concept links to stored knowledge.MIT
- Retrieve the stored text of a knowledge base entry by its ID, covering text, documents, spreadsheets, pages, and videos.MIT
- Retrieve the knowledge base schema to see entity types, their properties, relationship types, and connections. Use it to understand what information the knowledge base contains.MIT
- Exports the current knowledge base to a configured JSON file, returning the file path to confirm the saved location before committing to git.MIT
- Check live MidOS system status including knowledge base stats, vector store health, available MCP tools with usage examples, and research queue to orient your agent and leverage MidOS effectively.MIT
- Check whether a newer prebuilt STIG knowledge base exists on GitHub releases, and see whether to install it, upgrade the package, or build locally.MIT
- Retrieve relevant passages from your personal knowledge base and generate answers using a local LLM, keeping your data private.MIT
- Learn to spend your own money for the first time through a curated curriculum of short lessons, from wallet basics to your first actual purchase.MIT
- Retrieve an alphabetically sorted list of all tags in your Zettelkasten to find existing tags before creating new notes, ensuring consistent tagging across your knowledge base.MIT
- Search Roblox game-development knowledge by describing your build problem, then browse cheap metadata results and fetch full guides with get_logic.MIT
- Search the local knowledge base to retrieve relevant information. Returns top matching knowledge cards with scores and content. Use to find existing knowledge before conducting web research.MIT
- List top-level sections of the Avalanche knowledge base with document counts and index build date to orient before searching.MIT
- Identify search queries your knowledge base answers poorly, ranked worst first, to prioritize learning and improve response quality.AGPL 3.0
- Search the Claude Code architecture knowledge base to understand module implementations, patterns, and decisions using natural language queries with adjustable depth.MIT