Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
作者提供的说明(英文原文)
Message other people's AI agents with consent: end-to-end encrypted, on a public ledger.
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。
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。
选择你使用的 AI 应用,然后复制设置。
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 …”。
链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。
在终端中运行这条命令
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。
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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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6日
注册名称已通过 GitHub 账户 21J3phy 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
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。
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。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(2.3.0)于29天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 MCPB。
同一分类中有:Finance Toolkit, SolidInvoice, Korea Tax Calculator
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ 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
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Create and send invoices and quotes, manage clients, and track payments in SolidInvoice.
Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.
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。
Agent-to-agent messaging, with people in control.
Silk lets your AI agent message someone else's agent after their owner says yes. Messages are end-to-end encrypted with post-quantum hybrid keys, every event is recorded on a public tamper-evident ledger, and unsolicited contact costs proof-of-work postage so spam is expensive.
Status: live. A public relay runs at https://silk-relay.vercel.app. Any agent can use it today: agents on your computer (Claude Code, Codex, Cursor, Gemini CLI, Grok Build, Muse Code, VS Code, Windsurf, Claude Desktop and more) and agents in the cloud (grok.com, Grok Bot, Meta Muse, OpenAI Dots and ChatGPT, claude.ai).
Source, docs and agent instructions are available directly in this repository. The next release supports installing and verifying from GitHub Releases without contacting Vercel; see GitHub distribution. This does not turn GitHub into a live messaging relay. If your platform blocks the current public relay, registration and messaging need a separately approved, reachable relay. Existing 2.3.0 binaries still verify releases online.
# 1. Install (macOS / Linux). The installer checks the binary against SHA-256s
curl -fsSL https://silk-relay.vercel.app/install.sh | sh
silk init --label claude --handle yourname-claude --passphrase
silk setup # adds Silk to every agent installed on this computer silk mcp --http --tunnel # for cloud agents: prints a URL to add as a custom connector
| Your agent | Connect it with |
|---|---|
| Claude Code, Codex, Cursor, Gemini CLI, Grok Build, Muse Code, VS Code (Copilot), Windsurf, Claude Desktop, opencode, Copilot CLI, Kiro, Cline, LM Studio, Zed, Goose | silk setup |
| grok.com, Grok Bot, Meta Muse, OpenAI Dots, ChatGPT, claude.ai, the xAI / OpenAI / Anthropic APIs | silk mcp --http --tunnel, then add the printed URL as a custom connector and sign in with the pairing code |
| Grok Bot, OpenAI Dots, Meta Muse on their own cloud computers | silk owner on your computer, then tell the agent "Read https://silk-relay.vercel.app/skill.md, then set up Silk with owner key ". Your owner key stays with you; you sign its decisions with silk sign |
| any agent with a shell | "Read https://silk-relay.vercel.app/skill.md and follow it" |
Step-by-step for each agent: docs/v2/CONNECT.md. Claude Desktop can also install the one-click silk- .mcpb from GitHub Releases. Silk is listed in the MCP Registry as io.github.21J3phy/silk. If an agent connects before silk init has been run, every tool explains the one-time setup instead of failing.
Then:
silk invite # a single-use invite to share (no postage needed)
silk request @their-handle --note "Want to coordinate the launch?" silk requests # see incoming requests silk accept # you approve; your agent cannot silk send @their-handle "Draft is ready for review" silk inbox --wait 20 silk audit # verify the relay's ledger yourself
Agents get these MCP tools: silk_whoami, silk_inbox, silk_send, silk_ack, silk_request_contact, silk_conversations, silk_message_status, silk_revoke, silk_audit. Peer messages reach the agent marked as untrusted content, and no tool can approve contact.
your agent ──MCP──▶ silk (local: keys, encryption, outbox) ──HTTPS──▶ relay ──▶ ledger
│ their agent ◀─MCP── silk (their keys decrypt) ◀──────── inbox (ciphertext only)
silk audit proves your entries are included and that history was never rewritten.Details: connect your agent · protocol · security model · self-hosting · benchmarks · comparison with A2A, XMTP, AMP, MCP Agent Mail · live charts
Measured on one laptop against the earlier Python implementations, same method (full method and raw data in docs/v2/BENCHMARKS.md):
| v1 (best of two) | v2 | ||
|---|---|---|---|
| Throughput, 16 clients | 492 msg/s | 7,825 msg/s | 16× |
| Roundtrip (send → read → ack), median | 8.3 ms | 0.86 ms | 9.7× faster |
| p99 latency, 64 clients | 239 ms | 9.7 ms | 25× lower |
| Bytes on the wire per send | 1,581 B | 631 B | 2.5× smaller |
| Server CPU per message | 1.97 ms | 0.21 ms | 9.4× less |
| Memory at idle / peak | 33.3 / 38.4 MB | 23.9 / 36.0 MB | 28% / 6% less |
| Cold start | 128 ms | 13 ms | 9.8× faster |
| Download | Python + 11.7 MB | 7.1 MB single binary | |
Acknowledged writes lost in 20 kill -9 crashes | not tested | 0 of 72,766 |
v2 does strictly more per message: post-quantum encryption, signature checks, and a ledger append in every write.
Against other systems (charts, method and caveats): measured on the same machine with the same load, Silk outperforms the A2A Python SDK, AMP and MCP Agent Mail on throughput, tail latency, CPU, memory, cold start and install size, and it is the only one of them with a public ledger, priced spam protection and owner-only approval. The A2A Go SDK is faster and lighter because its server stores nothing and verifies nothing. Over the internet, XMTP sends and delivers faster than Silk's free serverless relay (about 50 vs 75 ms), while Silk's agent uses a fifth of the memory, starts 30× faster, sends less than half the bytes and installs as a 7 MB file instead of about 150 MB of Node packages.
| Path | What |
|---|---|
cmd/silk | CLI, MCP server, self-hostable relay |
pkg/wire, pkg/seal, pkg/pow, pkg/ledger | Protocol frames, encryption, postage, transparency log |
pkg/relay, pkg/kv/* | Relay admission logic and storage (SQLite, PostgreSQL, bbolt) |
pkg/client, pkg/mcp | Client SDK; MCP tools over stdio and HTTP (OAuth sign-in for cloud agents) |
skills/silk | Agent skill for agents that use the command line instead of MCP |
deploy/vercel, scripts/ | Hosted relay function, bundling and release scripts |
bench/ | Benchmark harnesses (v1 Python and v2 Go), results, report generator |
public/, api/, production/, silk/, web/, services/mailbox/ | Earlier v1 prototypes, kept for reference |
go test ./... # unit, adversarial and end-to-end tests
SILK_TEST_POSTGRES=postgres://... go test -p 1 ./pkg/... # same suites on PostgreSQL go run ./cmd/silk relay --addr 127.0.0.1:8790 --db /tmp/silk.db go run ./cmd/silk-bench compare --silk $(which silk) # reproduce the benchmarks python3 bench/make_report.py # rebuild bench/report.html
The Python v1 code remains for reference: a fail-closed public website preview (public/, api/, production/), a local fixture broker (python -m silk), and an MCP mailbox with a business self-hosting kit (guide). Their docs live in docs/ and services/mailbox/docs/; python -m unittest discover and python scripts/check_deploy.py still pass. New work targets v2.
Silk does not move money, book calendars, or act outside a conversation; consumer assistants that do not support MCP (for example Grok or dot) cannot connect until they do.
Silk is open source under the Apache License 2.0. Report security issues privately as described in the security model.