"Sublime Text" matching MCP servers:

Gives every AI agent working in a repository a shared, persistent knowledge graph stored in a plain JSONL file, with each entity, relation, and observation tagged with the date and agent that added it. Provides tools and prompts for searching, editing, renaming, merging, cleaning up, and exporting that memory, and keeps it locked to the repository that owns it.

Enables advanced text network analysis and knowledge graph generation using graph theory algorithms to identify topics, detect content gaps, and extract structured insights from unstructured text.

MCP server providing persistent memory management for AI agents using SQLite and FTS5, enabling storage, full-text search, and recall of memories with namespace isolation.

Persistent, searchable memory for AI agents over the Model Context Protocol, enabling memory storage, full-text search with BM25 ranking, and retrieval across sessions.

An efficient MCP server for Buildin.ai that provides readonly access to search and retrieve full text of pages.

Enables shared scratchpad functionality for Claude Code sub-agents with full-text search, workflow organization, and intelligent Chinese text tokenization. Supports seamless context sharing and collaboration across workflows with project scope isolation.

Semantic search and comparative retrieval over a multi-tradition corpus of sacred and foundational texts, exposed as an MCP server.

MCP server for information collection, text analysis, and content generation, enabling AI agents to scrape web pages, analyze text, and generate reports or presentations.

Provides persistent storage for AI agents via MCP and REST API, enabling saving and retrieving text, code, configs, and files with full-text search, tags, version history, and GitHub backup.

Serverless document and media processing with AI chat. Upload documents, images, video, and audio — extract text with OCR or transcription — query using Amazon Bedrock.

Bookmark manager for AI agents with tags, categories, and full-text search. Reads are free, writes require Veyra commit mode.

Enables users to directly edit authoritative Markdown context and tables within Codex, review the complete text before saving, and commit tracked immutable revisions with version history.

A simple memory storage server for Claude using the Model Context Protocol (MCP), enabling Claude to store and retrieve text memories across conversations.

Provides LLM agents with a structured, queryable, local-first knowledge base with typed documents and full-text search via MCP.

An MCP knowledge server that enables saving and retrieving memory across sessions, with tools to ingest text, URLs, YouTube, and files, and perform semantic search.

Normalizes dictated text by correcting speech-to-text misrecognitions using a personal lexicon before agents see the prompt, and lets agents manage terms, learn corrections, and harvest vocabulary.

Builds and searches knowledge graphs from input text using the cognee AI memory engine.

Enables searching and retrieving local chat history from Codex and Claude CLI sessions via BM25 full-text search and MCP tools.

A Model Context Protocol server that provides AI assistants with direct access to local document collections through full-text search, supporting multiple formats and hierarchical collections.

A local RAG knowledge base MCP server that exposes semantic document search as tools using zvec for vector storage and Qwen3-Embedding for text embedding.