"A knowledge base resource" matching MCP servers:

Provides structured search, schema-validated writes, and linting for a markdown knowledge base, enabling agents to operate the wiki over a single streamable-HTTP MCP endpoint.

An MCP server for managing Obsidian-style note vaults, providing tools for full-text search, note creation, and backlink tracking. It enables users to navigate, structure, and update their personal knowledge base through natural language.

MCP server that connects any AI to your Obsidian vault. Save articles from your phone, search across notes, build a compounding knowledge base. 15 tools, three transport modes (stdio, HTTP, cloud), zero-install Google Drive OAuth onboarding.

A read-only MCP server that exposes AI Disk Doctor Core's scan, model inventory, and history tools via local stdio, with no mutation or shell capabilities.

Enables Claude Desktop and Claude Code to build, update, inspect, validate and compile workflows for the SOLVE-IT Workflow Builder from natural language, automatically laying out nodes and connections and checking them against the SOLVE-IT knowledge base. Each result is written as a JSON file for import into the builder, or returned as a share link when small enough.

locidx

A universal resource server that enables AI models to mount local folders, scrape web pages into Markdown, and query SQLite databases without writing code. It features a real-time TUI dashboard and persistent configuration for managing diverse knowledge sources.

Provides MCP-compatible AI agents with read access to a LifeOS knowledge base, exposing identity, preferences, projects, wiki, skills, and rules via tools and resources.

Diagnoses why a FiveM server or resource is broken by scanning local configs, manifests, and logs, returning ranked findings with evidence. It can also propose and apply low-risk text fixes when enabled.

Bridges a remote, cloud-hosted agent to your local machine, exposing Pi's coding tools (read, write, edit, ls, grep, find, bash, powershell) rooted at a directory you choose. It also adds a human channel so the agent can message, question, and wait on you through tool calls instead of a platform chat UI, with OAuth 2.1 or bearer-token authorization and no persistence between runs.

A comprehensive MCP server that enables AI models to perform local file operations, command execution, and task management across multiple platforms. It features advanced capabilities like row-level file editing, directory searching, and system monitoring with built-in security filters.

A local MCP server for managing Markdown notes, enabling create, list, read, search, summarize, and delete operations through natural language.

Serves a local Obsidian markdown vault over MCP, enabling agents to search, read, build context, verify, and safely propose or apply guarded changes to the knowledge base.

MCP server for interacting with Knights of the Old Republic game installations, enabling resource discovery, inspection, and analysis for AI agents.

A local-first MCP server that handles daily work tasks through your AI assistant: converts meeting notes into todos, manages todo lifecycle, tracks work hours, generates daily/weekly reports, organizes files via move-only operations, and diagnoses dev environments, all guarded by a human-maintained preview/apply safety model.

A comprehensive Model Context Protocol server that integrates Elasticsearch search with file operations, document validation, and version control to transform AI assistants into powerful knowledge management systems.

Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.

MCP server for managing a local, domain-agnostic knowledge base using Markdown notes with frontmatter. Enables AI agents to capture, read, search, link, and maintain notes with atomic writes and privacy controls.

An MCP server that acts as a knowledge engine for software projects, delivering relevant context at the start of a task and accumulating knowledge at its end through tools like start_task, context, finish_task, remember, and search, with a file-based source of truth and optional semantic retrieval via Graphiti/Neo4j.

Enables AI agents to drive a multi-connection download engine over stdio: probe URLs, start, monitor, wait on and cancel downloads, fetch HLS streams, and manage a persistent SQLite-backed queue. Agents can carry out instructions like downloading several URLs in parallel and reporting which ones failed.