"Live Order Book on Steam" matching MCP servers:

Enables semantic search over the CCI Black Book, a scanned grow manual, retrieving both text and visual content with cited evidence packs for AI assistants.

MCP server for processing raw book notes into structured, searchable knowledge using embeddings and semantic search.

A knowledge base MCP server that enables AI agents to search and reference structured business book notes stored as YAML files. It provides seven tools for accessing book information, highlights, concepts, and connections without relying on LLM APIs.

A lightweight, local memory server for AI coding assistants that stores durable knowledge (decisions, facts, gotchas) in a tree structure, enabling persistent context across sessions with efficient retrieval via summaries and FTS5 search.

Memory vaults on your own machine, one per life domain, retrieved with a local BM25 index fused with vector search, where the human decides which vaults a model may answer from. Requires the Mnemosyne OS desktop app running locally; it also reports what other coding agents on the same machine are doing.

Local-first memory engine for AI-agent teams: private/team/project ACL, associative recall, and federated sync across nodes. One SQLite file, no LLM required.

Exposes a dependency graph of strategic sourcing artifacts and analyses as an MCP server, enabling navigation of phases, analyses, deliverables, and graph traversal for impact analysis and build order.

Provides ephemeral hybrid (vector + BM25) memory for MCP-compatible editors, enabling AI to save and search conversation and code context across sessions with automatic semantic search and context injection.

Context infrastructure for AI-assisted development — on-demand Obsidian vault access via MCP

Exposes a personal portfolio's resume, projects, skills, certifications, and live GitHub repositories as tools for AI assistants to query via natural language.

Free local memory for Claude and Cursor: remember, recall and forget tools backed by a single SQLite file. Zero dependencies, MIT licensed. By Jipbap Kitchen.

Enables LLM agents to store structured facts in JSON documents with a schema registry and event log on SQLite, then answer natural-language questions through exact structured queries that cite their evidence. It plugs into Claude Code and Claude Desktop so agents keep a shared, durable record book across sessions.

An MCP server that transforms books into agent-callable skill packages, enabling AI agents to use books as guides for evidence, procedures, and tutoring.

Windows-local MCP for Steam Balatro: tool-calling AI reads player-visible state, chooses and executes native actions, confirms results, and saves local experience. Glama's Linux sandbox can introspect MCP and run game-independent tools such as calculate, but cannot connect to Balatro on the user's Windows machine. Without the local game, health reports disconnected.

The Apple Books MCP server bridges the gap between your personal reading journey and AI capabilities by transforming static book collections into interactive knowledge repositories.

A lightweight bridge server that connects WeChat Reading (WeRead) data with Claude Desktop, allowing seamless access to reading notes and book collections through natural language interactions.

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.

Persistent memory and handoff intelligence layer for MCP agents. Most memory servers retrieve text — Memory Nexus compounds operational context, learning from usage and progressively synthesizing observations into higher-order intelligence across sessions and tools.

MCP server for personal and shared memory with full-text search (SQLite FTS5) and outcome tracking, compatible with any MCP agent like Claude Code, Cursor, and Codex CLI.

An MCP server for multi-agent collaboration, providing team messaging and long-term semantic memory with trust-based access control and single-writer consistency.

Enables agents to optimize context-window attention by reordering retrieved documents so critical evidence lands at prompt boundaries, mitigating lost-in-the-middle degradation. It combines BM25 lexical scoring, dense vector similarity, reciprocal rank fusion, knowledge-graph expansion, and recency-decay memory caching, exposed as a zero-dependency MCP stdio server.

Git-history memory for coding agents: reverts, weakened tests, hot spots, live suppression debt, and unreviewed notes, read from the repository's own git log. Five tools over stdio, deterministic and offline, published on npm as @promptwheel/logbook-mcp.

Zero-trust local MCP bridge that exposes read-only database tools and structured book navigation to AI agents, with two-tier PII redaction and MPS audit integration.

Provides a local-first memory layer for coding agents, storing principles, rules, and corrections on-device and surfacing them at the moments they apply so agents act on the intended outcomes without sending data to the cloud.

A Claude Code plugin that runs a cheap, always-on model as an MCP server to accumulate knowledge of your codebase, so your agent can ask broad questions instead of re-reading files.

Enables source-first orchestration and knowledge indexing with inspectable architectural capabilities through a unified MCP interface, including named-attribute retrieval and atomic knowledge ingestion.

Enables MCP-compatible AI agents to store, search, link, and retrieve encrypted long-term memories through a local stdio interface, with bounded graph exploration and context assembly.

Enables MCP clients such as Claude Desktop, Claude Code and Cursor to hand tasks and questions to a self-hosted agent that answers using its own local model, memory, document library and tools. It also lets those clients search long-term memory, save facts, and search, list or add documents, while shell commands and file writes are refused.

Provides persistent shared memory and multi-agent coordination for MCP-compatible coding agents on Zerops, with a live Observatory dashboard for monitoring activity.

Enables agents to run hybrid retrieval, reciprocal rank fusion, knowledge graph expansion, semantic caching, and context reordering so critical evidence is placed at prompt boundaries to reduce lost-in-the-middle degradation.

Enables humans and AI agents to collaborate live on documents in a browser-based editor, with agents connecting via OAuth-enabled MCP tools for writing, commenting, memory, files, web retrieval, and backups. It can optionally integrate school drive and learning-platform access.

Provides AI assistants with intelligent access to ML textbook content for creating accurate, source-grounded documentation using local models for privacy and cost efficiency.

Shared, live team memory for Claude — a remote MCP server on Cloudflare Workers + D1.

Enables Codex projects to read Git-backed kickoff, acceptance, handoff, progress, and next-step context, and to append validated, audited progress events through scoped MCP tools. This supports visible agent progress, resumable sessions, and safer handoffs.

Exposes tools for managing persona states and standing-order guards while providing current project profile slices and concise memory notes from project-local SQLite.

Provides QE Framework expert-library guidance with compact search and recommendation tools, returning full expert content only on explicit request.

Enables AI agents to find semantic connections and perform text searches in Obsidian vaults using the Smart Connections plugin data.

Enables users to pin lessons, claims, and open questions about physical objects to the places they live, then resume that thread later from any phone or assistant through three tools: observe, ask, and commit. Matching runs on host-authored text descriptions and user-named places, so no images are stored and identity survives switching devices, apps, or models.

MCP server for alive-analysis. Query, search, and retrieve structured analysis history written with the ALIVE loop (Ask→Look→Investigate→Voice→Evolve), plus dashboard JSON export.

A local MCP server that gives code agents a shared, persistent graph memory backed by Kuzu, plus a live web dashboard for visualizing the graph and activity log.