Knownbase
Knownbase gives AI agents durable, structured project memory that persists across sessions, tools, and workflows. Through MCP, agents can store and retrieve Markdown-based knowledge such as architecture decisions, debugging discoveries, implementation details, handoffs, project facts, and ongoing work. Notes can be organized by project, tags, status, and structured metadata, then searched efficie
README
Knownbase MCP Server
Persistent, searchable project memory for AI agents, over the Model Context Protocol.
Knownbase is a hosted MCP server that gives AI coding agents (Claude, Cursor, ChatGPT, Claude Code, Windsurf, and any other MCP-compatible client) a place to read and write durable notes, decisions, and handoffs that live outside your git history: the working memory an agent otherwise loses the moment a session ends.
This repository documents the /mcp endpoint: how to connect, what tools it exposes, and how
authentication works. There is no local install: Knownbase is a remote, streamable-HTTP MCP
server, so connecting is just pointing your client at a URL.
https://knownbase.dev/mcp
The problem this solves
AI agents are stateless between sessions. Every new chat, every new terminal, every restarted IDE window starts from zero. The agent re-reads your code but has no memory of why things are the way they are:
- Architecture decisions and the tradeoffs behind them
- Debugging trails ("we tried X, it didn't work because Y")
- Conventions and gotchas that aren't obvious from the code itself
- Task handoffs between sessions, or between you and a teammate's agent
- Anything you don't want cluttering git history but still need the agent to know
Without a memory layer, you end up re-explaining the same context every session, or the agent re-discovers (and re-breaks) the same thing twice. Knownbase gives the agent a workspace it can search and write to directly, so that memory persists and compounds instead of resetting.
Quick start
- Create a free workspace at knownbase.dev (no card required).
- Connect your MCP client to
https://knownbase.dev/mcp; see docs/CONNECTING_CLIENTS.md for exact steps per client (Claude, Claude Code, ChatGPT, Cursor, and generic MCP clients). - Authenticate with either a static API key or OAuth 2.1 (most clients auto-discover OAuth); see docs/AUTHENTICATION.md.
- Start a task with
get_contextto load what's already known, write durable knowledge withremember, and fall back tosearch_notes/get_note/upsert_notefor direct control. Full tool reference: docs/TOOLS.md.
What it exposes
| Tool | Purpose |
|---|---|
list_projects |
List project categories and note counts in the workspace |
get_context |
One-call project orientation: constraints, decisions, status, open items, and recent changes, ranked and packed to a token budget |
search_notes |
Search by text, project, tag, status, or last-modified date (keyword or semantic) |
get_note |
Read one note in full, with its links/backlinks |
get_notes |
Batch-read up to 50 notes in one call |
remember |
Store a durable fact/decision/constraint in one call: derives the title, checks for duplicates or contradictions, reports what it did |
upsert_note |
Create a note, or partially update an existing one |
delete_note |
Soft-delete (trash) a note |
list_note_revisions |
List a note's saved prior versions |
get_note_revision |
Read the full body of one historical revision |
workspace_info / usage_summary |
Plan, limits, usage, and this key's own access scope |
rename_project |
Bulk-rename a project across every note |
rename_tag |
Bulk-rename or remove a tag across every note |
backup_project |
Export full content of one project inline, for backup/portability |
Notes also carry optional typed, temporal metadata (decision / fact / constraint / …, plus
a current / superseded / disputed lifecycle) that get_context ranks and filters on. See
Typed, temporal memory in the tool reference.
Full parameter-level reference, including the lean-by-default response shapes designed to save agent tokens, is in docs/TOOLS.md.
Why a remote, hosted MCP server
Every note is scoped to your own workspace; nothing is shared across tenants. Full-text search (and, on supported plans, semantic/meaning-based search) runs server-side, so agents get results without loading your entire notes corpus into context. Notes are versioned (every edit snapshots a revision) and soft-deleted (trash, not permanently gone), so an agent's write is never a one-way door.
Links
- Homepage: what Knownbase is and who it's for
- Features
- Pricing: free tier (3 projects, 300 notes, 2 MCP keys), plus Go / Solo / Team / Business plans, each with a 7-day free trial
- Blog: guides on MCP, agent memory, and handoffs
- llms.txt: machine-readable product/endpoint summary
- Contact · hello@knownbase.dev
Repository contents
docs/AUTHENTICATION.md: API keys, OAuth 2.1 flow, project-scoped keysdocs/CONNECTING_CLIENTS.md: per-client setup (Claude, Claude Code, ChatGPT, Cursor, others)docs/TOOLS.md: full tool reference with input/output shapesserver.json: MCP Registry manifest
This repository documents a hosted service; it does not contain the Knownbase server's source code. Found an issue with these docs, or a mismatch with actual server behavior? Please open an issue or email hello@knownbase.dev.
License
Documentation in this repository is MIT licensed. Use of the Knownbase service itself is governed by its Terms of Service.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。