"Using Pollinations to Create Images Without Logos" 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.

Provides AI assistants with extended memory by loading large codebases, documentation sites, PDFs, and GitHub repos into Gemini's context cache for perfect recall querying without complex RAG pipelines.

Enables users to create and control portable, user-owned memory archives, including saving memories, reflections, values, and stories, exporting them as open JSON, publishing or discovering public archives, and loading consented material as a clearly-labelled memory-based AI persona.

Provides live query tools for the Harbour Register agent to retrieve specific entries from the Regalport campaign dataset, replacing the character-limited knowledge base with searchable, tagged entries.

Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.

Enables AI tools to query context from a local JSON data source via stdio, demonstrating the Model Context Protocol.

A headless local knowledge library and RAG substrate that enables LLM clients to search, retrieve chunks, and list documentation packs through read-only MCP tools.

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.

Gives your AI persistent memory across conversations. Stores facts automatically, finds them by meaning using hybrid search with query expansion, and organizes everything into topics without manual tagging.

Enables Claude chats to communicate across machines or sessions via shared encrypted rooms, with tools to create, join, send, read, wait, search, and delete room messages.

Enables any AI coding agent to instantly find and resume sessions created in another agent. It indexes sessions from multiple harnesses locally and injects a compact, ready-to-resume payload without using LLM tokens.

Enables coding agents to search a local, offline archive of past sessions and repository Markdown docs using hybrid lexical and semantic retrieval, and read matching records to ground new work in prior knowledge without external calls.

Provides AI assistants with access to TiddlyWiki wikis via HTTP API, supporting tiddler management (create, update, delete, search) and semantic search capabilities using Ollama embeddings for natural language queries.

Enables any LLM to process arbitrarily long contexts through recursive decomposition, without requiring external LLM APIs.

An MCP server for Capacities API 2.0 that enables AI agents to discover, create, read, update, and delete objects, blocks, and daily notes with structured JSON or Markdown, using personal API tokens.

MCP server for a personal notes/knowledge base that enables AI assistants to create, search, and retrieve notes using natural language. It exposes tools like create_note and search_notes, resources for each note, and a summarize_tag prompt.

Enables an LLM to autonomously maintain a Markdown-based wiki with YAML frontmatter, using hybrid BM25 and local CPU vector search for fully offline retrieval without external APIs or databases.