"How to build your own knowledge base" matching MCP servers:

A lightweight personal knowledge base MCP server that lets clients store, search, organize, and summarize research notes from a local JSON file.

Enables grounded, dated research from a curated AI-knowledge repository, offering free BM25 retrieval and a research loop that combines the knowledge base, curated sources, and the open web with tiered citations.

A free, plug-and-play knowledge base server that provides access to 10,000+ insight reports with secure local data storage.

A local knowledge-base MCP toolbox for Agent workflows, exposing 11 tools for document ingest, retrieval, context reading, citation checking, and evaluation-report reading.

Dense Knowledge is a small local server for Model Module Protocol (MMP) files. It gives language models a persistent research memory without requiring a database, embeddings, or a hosted service.

MCP server for connecting Claude Desktop to a local medical knowledge base with real-time file watching, enabling natural language interaction with medical documents.

A high-performance MCP server that aggregates Wikipedia, arXiv, Context7, and DevDocs into a unified interface for AI agents.

Identifies knowledge gaps in markdown vaults, ranks them by priority, generates research questions, and offers long-tail sampling to break confirmation bias.

Enables agents to search and read a fully offline BM25-indexed Conjugate Spectral Geometry knowledge base of 251 articles and 869 verified truths, with citation-enforced retrieval. Also supports writing and archiving articles, symbolic formula verification, claim-graph auditing, sector assignment, workspace file access, git and local state operations.

Remote MCP server for FTC & Pedro Pathing research, providing tools to search technical notes, code templates, and verified team examples to assist AI agents in code generation and robotics development.

Scans markdown vaults to identify concepts mentioned but not defined, ranks gaps by priority, and generates research questions or random long-tail topics to fill knowledge gaps.

Automatically organizes and merges learned CS knowledge into a graph structure using Claude for entity/relation extraction and SQLite for storage, with tools for ingestion, querying, merging, and managing nodes and edges.

Provides MCP tools for AI assistants to retrieve compact daily futures data packets, submit manual market data, run whitelisted crawlers, search research summaries, and save/read historical reports on demand for caustic soda, PVC, and coking coal futures.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Enables corpus-grounded research over Lacanian seminar and écrits texts by retrieving passages, building evidence contracts, and returning only answers whose claims survive citation and entailment validation — abstaining instead of answering from model knowledge. It also exposes the corpus for direct reading and lets users audit every claim back through answer → claim → passage → session → seminar → witness/source.

This MCP server provides LLMs with a live, curated knowledge base of AI agent research, world models, and source-code reviews, enabling personalized and context-aware responses. Users can either connect to the hosted knowledge or build and host their own vault.

MCP server for MAScope: search and analyze World MiniApps, get verified reviews and analytics data.

Provides access to 9 AI executives offering board-ready business intelligence, competitor analysis, trend monitoring, and more via agent-payable endpoints.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.