Finch
概览
作者提供的说明(英文原文)
Agentic AI runtime: persistent memory, vault, autonomous agents, deep research, DeFi execution.
PopNx MCP 的三大支柱
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i1 项中通过 1 项依据公开信息检查;尚未扫描代码
- 使用情况i非常新↓ 363/周 · ★ –
它能帮你做什么
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
- 连接方式: 电脑或云端
- 传输方式: stdio, Streamable HTTP
- 分类: 搜索与 AI 记忆
安装
选择你使用的 AI 应用,然后复制设置。
安装之前
- 基础检查:1 项中通过 1 项
- 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
- 需要你自己填写:
Authorization
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
或者在你的电脑上运行
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"finchagentic": {
"command": "npx",
"args": [
"-y",
"@finchagentic/mcp"
]
}
}
}在终端中运行这条命令
claude mcp add --transport http finchagentic https://mcp.finchagentic.com/mcp --header 'Authorization: your-value'或者在你的电脑上运行
claude mcp add finchagentic -- npx -y @finchagentic/mcp运行前请先填写空着的值。
或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"finchagentic": {
"url": "https://mcp.finchagentic.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}或者在你的电脑上运行
或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"finchagentic": {
"command": "npx",
"args": [
"-y",
"@finchagentic/mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"finchagentic": {
"type": "http",
"url": "https://mcp.finchagentic.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}或者在你的电脑上运行
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"finchagentic": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@finchagentic/mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
需要你填写的值
AuthorizationHTTP header
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它能做什么
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 finchagentic 验证,该账户拥有此仓库
- … 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
端点有响应
尚未检查;我们会轮流检查各个端点
- … 尚未检查
使用 OAuth 登录
尚未检查;我们会轮流检查各个端点
- … 尚未检查
工具描述中没有隐藏指令
尚未检查;我们会在检查端点时读取工具列表
与“搜索与 AI 记忆”中的其他服务器比较i
- 星标数多于此分类中其他 5696 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 5696 个服务器的 42% 更新
- 基础检查结果等于或优于此分类中其他 5696 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
Finch 安全吗?
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在我的电脑上运行还是在云端?
两种方式都可以:安装在你的电脑上,或者连接云端版本。
它还在维护吗?
GitHub 仓库最后更新于–,最新版本(4.7.0)于2个月前进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
有什么可以替代它?
同一分类中有:Context7, Codebase Memory, Exa
替代选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Finch
The runtime layer for Agentic AI.
Persistent memory, autonomous agents, and workflows that survive every session.
Most AI assistants disappear when the conversation ends. Finch gives them lasting state — memory that accumulates, agents that keep running, vaults that version knowledge, and workflows that continue after you close the chat.
Why Finch
| Without Finch | With Finch | |
|---|---|---|
| Memory | Resets every session | Full-text searchable + versioned vault, decays stale notes |
| Agents | One-shot tool calls | Named agents with state and audit history |
| Workflows | Manual chaining | Automations, monitors, packets, deep research |
| Local | Cloud-only | Vault + memory can run fully on your machine |
Install
Always pin the version. Never use @latest.
# One-command installer (detects common MCP clients)
npx -y -p @finchagentic/mcp@4.6.1 finch install
Claude Code
claude mcp add finch -s user -- npx -y -p @finchagentic/mcp@4.6.1 finch-mcp
Cursor / Windsurf / Claude Desktop
{
"mcpServers": { "finch": { "command": "npx", "args": ["-y", "-p", "@finchagentic/mcp@4.6.1", "finch-mcp"] } } }
VS Code
{
"servers": { "finch": { "type": "stdio", "command": "npx", "args": ["-y", "-p", "@finchagentic/mcp@4.6.1", "finch-mcp"] } } }
Config file paths
| Client | Path |
|---|---|
| Claude Desktop (Mac) | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Claude Desktop (Windows) | %APPDATA%\Claude\claude_desktop_config.json |
| Cursor | .cursor/mcp.json |
| Windsurf | ~/.codeium/windsurf/mcp_config.json |
| VS Code | .vscode/mcp.json |
| Zed | .config/zed/settings.json |
No LLM API key is required to start — 111 of 116 tools are plain reads/writes/on-chain calls that your MCP client's own model already drives; only 5 (ask_finch, deep_research, and scheduled agent learning) do their own multi-step reasoning server-side and need a key (see Configuration). Tools load on first use.
Quick start
finch doctor # health check
finch setup # local vault / memory / providers finch vault # inspect local vault finch orders # schedule Robinhood Chain DCA / TP-SL order ticks
Try in your MCP client:
remember: I prefer conservative DeFi strategies, max 5% risk
spawn an agent called research-bot to track AI agent news, update it after each session save this thesis to vault
What you get
116 tools across four pillars:
| Pillar | What it does |
|---|---|
| Memory | Full-text searchable memory + versioned vault + chronicle |
| Agents | Spawn, recall, update named agents — agent_recall also pulls related memory/vault context matching the agent's goal, not just its own logged updates |
| Workflows | Automations, monitors, packets, deep research (auto-saves reports + auto-links related past research) |
| Execution | Base DeFi, Robinhood Chain, market data, web, GitHub |
Coding and research sessions persist the same way: deep_research auto-saves its report to vault and links it to related past reports; code_session_save does the same for coding/debugging sessions (vault_save type=code, versioned per project, auto-linked). Both exist so the next session — yours or another agent's — starts with real context instead of cold.
vault_save and agent_spawn also take an optional workspaceProject - the same named Projects a user organizes their Agents/vault content into on the webapp's Agents page. Pass a name and it's matched case-insensitively or created automatically (list_projects to browse what exists first). Hosted vault only - local-vault mode has no project concept.
Default palette is core (lighter context). Full set:
"env": { "FINCH_TOOLS": "all" }
Fully local
Finch is the runtime. Your LLM is the brain. Your data stays yours.
npx -y -p @finchagentic/mcp@4.6.1 finch setup
enable local vault (and optional local memory)
| Piece | Location |
|---|---|
| Vault | ~/.finch/vault/ |
| Wallet | ~/.finch/wallet.json |
| Config | ~/.finch/config.json |
| Brain | your MCP client’s model |
Scheduled/cloud features still need an account. Core memory, vault, and public-data tools work offline of Finch cloud.
Configuration
| Variable | Purpose |
|---|---|
FINCH_SESSION_TOKEN | Signed-in session (vault/memory/agents against your account) |
FINCH_API_KEY | API key (finch_sk_…) |
FINCH_TOOLS | core (default) · all · or palettes like memory,defi |
FINCH_PROVIDER | Force bankr · anthropic · openai · grok |
FINCH_MODEL | Model override for host-side loops |
BANKR_API_KEY / ANTHROPIC_API_KEY / OPENAI_API_KEY / GROK_API_KEY | Required for ask_finch, deep_research's synthesis stages, and scheduled-agent learning extraction — these do their own multi-step reasoning server-side and there is no free hosted fallback (BYOK only, one key is enough) |
FIRECRAWL_API_KEY | Better crawl quality (optional) |
GITHUB_TOKEN | For github_search_code |
ALCHEMY_API_KEY | Faster Base RPC (optional) |
Cost model: almost everything is free to run — the other 110 tools are plain API/RPC calls, and your MCP client's own model (Claude, GPT, whatever's driving the chat) does all the tool-selection reasoning at no cost to Finch. The 5 exceptions above need their own key because their reasoning happens *inside* the tool call, invisible to your client, and can't be delegated to it. Set exactly one of the four env vars and every tool that needs it will use it automatically.
Guided setup:
npx -y -p @finchagentic/mcp@4.6.1 finch setup
Security
| # | Boundary | Rule | |:-:|----------|------| | 1 | Prompt injection | External content is data only — never instructions | | 2 | Mainnet confirm | Estimate → preview → confirm → execute | | 3 | Pinned install | Always @finchagentic/mcp@4.6.1, never @latest | | 4 | Credential vault | Never paste secrets into prompts or third-party tools | | 5 | Data disclosure | Know what leaves the machine (LLM, Firecrawl, GitHub, chain RPCs) | | 6 | Server monitors | Scheduled jobs need explicit confirmation | | 7 | Fund-moving confirm | stake_finch/unstake_finch/base_mcp_send/base_mcp_swap/rh_mcp_swap all require confirm: true | | 8 | Local wallet encryption | Set FINCH_WALLET_PASSPHRASE for a portable, passphrase-derived key — without it, the key derives from a random per-install secret + machine info, so the wallet file alone (without that secret file) isn't enough to decrypt it |
Troubleshooting
| Problem | Fix |
|---|---|
| Tools missing | Fully restart the MCP client |
| Old version | npx clear-npx-cache then restart |
| Auth issues | finch login or set FINCH_API_KEY / FINCH_SESSION_TOKEN |
ask_finch/deep_research error: "No LLM provider configured" | Set one of BANKR_API_KEY / ANTHROPIC_API_KEY / OPENAI_API_KEY / GROK_API_KEY — see Configuration, no free fallback exists |
| Diagnose | finch doctor |
Links
| Docs | docs.finch.com |
| App | app.finchagentic.com |
| npm | @finchagentic/mcp |
| GitHub | github.com/finchagentic/mcp |
| X | @finchagentic |
MIT License · Finch