"Server Fault" matching MCP servers:

Enables AI models to fetch and aggregate news from RSS, Atom, JSON, and HTML feeds with fault-tolerant circuit breaker protection.

An MCP server that gives agents persistent memory with namespaced facts, tags, full-text search, and TTL expiry, all running locally on SQLite with zero external dependencies.

A generic Markdown vault MCP server with FTS5 full-text search, semantic vector search, frontmatter-aware indexing, incremental reindexing, and non-markdown attachment support that exposes search, read, write, and edit tools.

MCP server for intelligent, use-adaptive Obsidian vault search. It uses Hebbian learning and graph centrality to rank files by usage and relevance.

A personal code snippet library for Claude, enabling saving, searching, and managing code snippets across sessions and projects.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

A read-only MCP server that enables semantic search and retrieval over a local Markdown knowledge base with heading-aware chunking and multilingual embeddings.

Enables AI assistants to search, read, and traverse Markdown note vaults (Obsidian-compatible) with full-text search, backlinks, knowledge graphs, and a persistent memory system for cross-session context.

Headless semantic MCP server for Obsidian, Logseq, Dendron, Foam, and any markdown folder. Features built-in hybrid semantic search, surgical AST editing, template scaffolding, zero-config local embeddings, and workflow tracking.

MCP server that gives AI models read/write access to Obsidian vaults with semantic search, link graph analysis, canvas manipulation, and incremental indexing.

Enables local hybrid search over Obsidian and Markdown vaults via MCP, combining vector retrieval, full-text search, reranking, graph navigation, and safe CRUD while keeping data local.

A universal MCP server enabling AI assistants to query and manage six database engines (Postgres, Redis, Elasticsearch, MySQL, MongoDB, LDAP) through 113+ tools with read-only safety and fault tolerance.

MCP server for hybrid retrieval over markdown vaults, combining sqlite-vec embeddings and FTS5 keywords with reciprocal rank fusion, plus optional cross-encoder reranking.

Enables AI agents to persist, search, and evolve knowledge through a Markdown vault with a typed knowledge graph and MCP interface.

An MCP server that provides semantic search and vault operations for Obsidian notes, enabling agents to recall and manage notes with provenance and low token usage.

Read-only MCP bridge that exposes secure search and fetch tools over an Obsidian-compatible Markdown vault, enabling ChatGPT to query notes without write access.

Enables Claude to search and analyze Obsidian vault content using ripgrep with support for wiki links, backlinks, frontmatter properties, orphaned notes, and intelligent context detection showing which heading or property contains each match.

An Obsidian plugin that runs an MCP server, enabling external LLM tools to read, search, create, and modify notes in your vault via HTTP or stdio transport.

An MCP server that enables AI assistants to search, read, and manage files across multiple cloud drives (Baidu, Aliyun, 115, OneDrive, Quark) through a unified interface.

Enables offline archiving, deduplication, and quality-controlled indexing of Medium articles, exposing MCP tools for retrieving, managing, and exporting knowledge for AI agents and local pipelines.