"Server Fault" matching MCP servers:

Enables AI agents to interact with the Honeybadger error monitoring service to list, filter, and analyze fault data. It provides tools for fetching error lists and retrieving detailed fault information from Honeybadger projects.

AI-powered industrial fault diagnosis MCP server with 8 tools for diagnosing equipment faults, searching parts, decoding VINs, and managing equipment profiles. Covers 313+ fault codes for Allen-Bradley, Siemens, ABB, Mitsubishi, and Fanuc PLCs.

A tiny MCP server that wraps Perseus Vault to provide persistent, encrypted, local-first memory for OpenAI Codex agents, enabling them to remember project conventions, decisions, and context across sessions.

MCP server providing persistent memory for AI applications, enabling Claude to store and recall memories with hybrid search and knowledge graph.

MCP server for controlling PNETLab v6 network labs via natural language, enabling topology creation, node management, config push, console interaction, and link fault injection.

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 Byzantine fault-tolerant MCP Memory server that uses SQLite write-ahead logging and FAISS hybrid vector search for deterministic, secure memory operations.

Estimates physical quantum resources (qubit count, runtime) for quantum algorithms on fault-tolerant hardware through natural language queries.

Agent-PLC MCP Server: auto-detect, probe, read, write and diagnose Modbus TCP / FINS / MELSEC / Siemens S7comm PLCs, with transparent proxy and fault-injection listener.

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.

Markdown + SQLite knowledge store with bidirectional wikilinks, exposed as an MCP server for AI agents to maintain an interconnected knowledge base.

MCP server for Obsidian vault structural health checks. Find broken wikilinks, orphaned notes, and missing frontmatter, with optional auto-repair.

An MCP server that enables AI assistants to diagnose network and service problems by walking a structured funnel of cURL timing metrics, identifying which hop is at fault, and providing targeted recommendations.

Enables personal knowledge management through Claude Desktop, allowing users to capture thoughts, connect ideas, and reflect on thinking changes via natural conversation.

Tells your coding agent which tests to run after a change, and whether a failing test is its fault. Tools: select_tests (only the tests the change can affect, with reasons), triage_failure (new regression, pre-existing, flaky or unknown) and explain. Needs a self-hosted siftwise server; fails open to the full suite. Tested with Claude Code, Copilot, Cursor, Codex and Gemini.

Enables interaction with a file-based issue tracking and knowledge management system, allowing users to create, read, update, and move issues, as well as search and read notes within the UniHub Vault.

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

Enables Claude Code to read and write an Obsidian-style markdown vault stored locally or in S3, with indexed full-text search, schema validation, linting, and session hooks.

MCP server for semantic search in an Obsidian Second Brain vault using self-hosted Qdrant and Google Gemini embeddings.

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.