"How to Build a Knowledge Base" matching MCP servers:

Coordination for parallel coding agents: TTL file claims stored in the git common dir (visible across all worktrees), enforcement hooks that block colliding edits, agent presence, handoff notes, and a git-committed lessons knowledge base with BM25 search. Single static Go binary — no server, no database.

MCP server for Directum RX (ECM/BPM): assignments, tasks, documents and their text, knowledge base, agile boards, project plans, any entity via OData, and search over the system help of your own RX version. Read-only by default; write tools are behind a flag and ask for confirmation.

A server interface for Bitrise CI/CD platform that enables app management, build operations, artifact management, and release management through natural language interactions.

Enables AI coding assistants to search and retrieve information from a locally ingested knowledge base using hybrid search, grounded in user-curated documentation.

Enables LLMs to read and search X posts, manage users and lists, upload media, and publish posts using the X API v2 with OAuth user context.

A modern community hub with forum and knowledge base. Native MCP built-in, ready for the next era of internet culture.

This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

A frontier knowledge base that’s minimal extensible and agent-native. Built to keep your team’s shared context current and inspectable.

Enables AI agents to orchestrate 100+ security tools over MCP for authorized penetration testing, including recon, scanning, exploitation, attack-chain planning, and knowledge-base retrieval.

A self-hosted personal context server that unifies knowledge base, retrieval, credential management, and agent memory via MCP, with a built-in notes app for human oversight.

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.

Provides read-only access to Chinese A-share stock market data such as quotes, K-lines, financials, capital flows, news, and research reports via a stdio MCP server for DeepSeek Harness and other MCP clients.

One MCP server for golangci-lint, govulncheck, and nilaway — a unified Diagnostic\[] array with consistent file:line:column navigation, parallel execution, and zero-config auto-install - for golang development.

Easily build MCP tools for Claude desktop app.

The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.

Enables AI agents to interact with WhatsApp through a safety-first MCP server, with tools for sending messages, media, searching chats, and managing drafts, all governed by default-deny allowlists and non-overridable rate limits.

An MCP server that lets AI agents read and write a self-hosted TriliumNext knowledge base over its ETAPI, enabling note capture, structured table maintenance, and search.

High-performance code graph and code intelligence engine. Index code base into knowledge graph, supports 257 languages and native multi repositories environment

A local MCP server that gives LLMs long-term memory by indexing code, infrastructure, logs, and docs into a queryable graph. It enables semantic and structural search, evidence-backed reasoning, and tracked plans that persist across sessions and teams.