"Cargo Doc" matching MCP servers:

Zero-knowledge document vault backed by Azure Blob Storage with built-in MCP server. Client-side AES-256-GCM encryption, five tools (list, get, search, create, update), and OAuth-gated access for Claude.

A fully local persistent memory layer for LLM coding agents (Claude Code, Codex, Gemini CLI, OpenCode). A shell wrapper intercepts tool invocations, fires hooks on every tool call, then runs a 3-layer pipeline (extract → compress to ≤500-token digest → merge into project memory doc) at session end. The next session gets prior context injected automatically.

AI-native coding memory — lore/doc that AI agents read and write directly, via MCP

Local MCP server for Call of Cthulhu 7e, managing campaigns, character knowledge, and rule resolutions (d100, SAN, combat) with secure state isolation and keeper-controlled access.

Turn repository documentation into deterministic, executable handoffs for coding agents through MCP, CLI, and CI—without an LLM or API key.

Gives Claude Code and other MCP clients cited answers from a local, code-aware hybrid index of a repository's documentation and source, returning path:line sections linked to the code symbols they name. It also stores session handoff notes and doc/code conflict decisions in a git-backed memory, all running offline with no API calls or data leaving the machine.

A structured document management system using MCP protocol to handle large requirement documents by modularizing content, enabling token-efficient queries and consistency through hierarchical nodes and metadata.

Gives AI coding agents on-demand retrieval of workspace context, documentation, lessons, decisions and handoffs from a five-level (GLOBAL → WORKSPACE → PROJECT → FEATURE → SESSION) store, so they start with a small rule set instead of re-reading bloated docs. Exposes tools for dependency routing, knowledge search, doc reading and health checks backed by a zero-dependency SQLite + FTS5 memory with cross-project sharing of global-scoped knowledge.

Enables Claude to remember information about users across conversations by storing and retrieving data as entities, relations, and observations in a persistent local knowledge graph.

MCP server for a shared Postgres-backed knowledge base with hybrid retrieval and agentic RAG, enabling coding agents to upload, search, and ask questions over documents with cited answers.

An MCP server for team documentation and knowledge bases, enabling semantic search over documentation files using local embeddings.

提供文档智能问答的MCP服务器，支持查询知识库、获取会话历史和清理会话历史。

MCP server that syncs Markdown docs from a GitHub repository and provides search, reading, and listing capabilities for AI agents.

An MCP server for reading, creating, and managing PDF, DOCX, and Excel documents with OCR, styling, categorization, and remote file bridges.

Enables users to access, search, and get recommendations from AWS documentation through natural language queries. Supports both global AWS documentation and AWS China documentation with tools to fetch pages, search content, and discover related resources.

Enables MCP-capable agents to query a LightRAG knowledge graph for grounded answers with source files, ingest documents into the index, and retrieve indexing statistics.

Enables querying the DPC Zettelkasten knowledge base with full-text search, note retrieval, and structural GraphQL queries, each answer backed by pinned GitHub source citations.

Enables AI assistants to access Fathom meeting recordings, summaries, transcripts, teams, and webhooks through the Model Context Protocol.

Myelin provides persistent, brain-inspired memory for AI agents, enabling cross-session and cross-tool context retention with local, private storage.

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.