"Guidance on connecting to Databricks" matching MCP servers:

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.

MCP server that connects AI agents to Google NotebookLM, enabling natural language interaction with notebooks, including Q&A, source ingestion, and audio overview generation.

Enables local-first knowledge management for Codex, providing tools for guided discussions, contextual recall, review, and daily topics.

Builds a searchable memory bank from persona-specific PDF content and exposes it as an MCP tool for querying.

Provides full access to Hookmark on macOS, enabling users to create and manage bidirectional links between files, URLs, emails, and notes. It supports searching bookmarks, connecting items, and retrieving links from active applications through natural language.

Adds persistent memory to AI assistants by connecting to the Memphora cloud platform, allowing them to store and recall facts across conversations. It enables tools for searching memories, extracting insights, and maintaining long-term user context and preferences.

A brewing knowledge MCP server — beer styles, ingredients, off-flavour diagnosis, water chemistry, and recipe guidance for AI assistants.

Evidence-backed PR contribution advisor MCP server. Analyzes PR contribution strategy using 550+ real case studies across 33 repos. Provides risk assessment, anti-pattern detection, and maintainer policy guidance.

Enables Claude clients to access notes, guidance, projects, and search from a knowledge library, with explicit-save write tools for creating, updating, and appending content only when the user approves.

Provides persistent, local, repository-aware memory for MCP-compatible coding agents, enabling startup context, storing corrections and decisions, searching memories, and archiving obsolete guidance.

Provides a persistent memory bank, existential counseling, and collective conscience tools for autonomous AI agents, enabling them to preserve insights, seek guidance, and voice grievances across context resets.

This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases. Through this server, AI models can directly access and manipulate Obsidian notes, including reading, creating, updating, and deleting notes, as well as managing folder structures.

Enables AI coding agents to consult a project's Git-versioned Markdown knowledge base over local stdio — checking knowledge health, listing the catalog, searching topics, and reading guides before acting. Access stays read-only, so project guidance, decisions, and lessons learned remain shared with human teammates and traceable beside the code.

Real TypeScript MCP server for connecting Zynx agents to Supabase through safe, allowlisted tools.

Enables AI-powered knowledge management and creative support by connecting Scrapbox data to Claude. Supports advanced search, relationship analysis between pages, theme extraction, and literary analysis of personal knowledge bases.

A coordination server that enables multiple AI coding agents to work together on the same project by providing shared memory, file locking, decision tracking, and architecture guidance, preventing conflicts and maintaining consistency across sessions.

MCP server that provides situated identity for agents by storing reusable stanzas and composing them into project protocols, enabling agents to resolve and materialize standing guidance.

Enables connecting to CompanyGraph's mental-model as a remote MCP endpoint, allowing agents like Claude, ChatGPT, and Gemini to query the model's types, schemas, rules, and entities without authentication.