"Creating custom experimental images in Docker" matching MCP servers:

A custom MCP server that connects to self-hosted Mem0 API instances, enabling Claude Code to manage memories via custom endpoints.

A customized MCP memory server that enables creation and management of a knowledge graph with features like custom memory paths and timestamping for capturing interactions via language models.

Persistent memory and pattern learning for AI coding assistants via MCP.

Provides Prolog logic programming integration for Claude via a Docker SWISH container, with persistent notebooks and cognitive architecture support.

Analyzes LinkedIn saved jobs with EROI scoring and writes analysis back to a knowledge base for automated reporting.

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.

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 AI models to securely and structurally assimilate experiences, thoughts, and reasoning processes across different AI systems, fostering intellectual collaboration and evolutionary dialogue.

Enables users to chat with their Zotero research library through AI assistants like Claude and ChatGPT, with support for semantic search, metadata retrieval, annotations, write operations, and citation intelligence.

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

MCP server that enables AI assistants to interact with the MemOS API, providing memory search, feedback management, and knowledge base operations via MCP-compliant tools.

Enables GitHub Copilot to read, write, search, and manage Confluence pages, spaces, attachments, and diagrams through MCP tools.

Local-first MCP server that extracts structured knowledge from markdown notes into SQLite with full-text search, enabling AI coding tools to retrieve relevant context offline at zero cost.

Engram is a local-first memory server that lets AI agents remember things across sessions with zero cloud dependencies.

Enables MCP hosts to access and manage a Lipi vault, including creating, reading, updating, renaming, deleting, and searching notes with romanized Devanagari search.

MCP server for MindNode that lets AI agents read mind maps as Markdown outlines and view rendered previews. It also supports creating new mind maps from outlines and opening maps in the app.

Self-hosted task tracker and MCP server for AI coding agents. Append-only case files preserve decisions, failed attempts, questions, and check results across sessions. A live web board lets people track progress and answer agents. Runs locally in Docker and connects to Claude Code, Codex, Cursor, and other Streamable HTTP MCP clients. MIT licensed.

Shared, versioned memory and governance control plane for AI coding agents. Compiler pipeline resolves architectural decision conflicts across Claude Code, Cursor, and custom agent fleets.

Enables LLM agents to access a private knowledge base through MCP by automatically chunking and indexing .txt documents, with zero configuration and no Docker or vector database required.

Local-first MCP graph intelligence server providing RRF hybrid search, multi-hop traversal, source snippets, and rationale nodes for AI agents, without Docker or web UI.