Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
제작자가 쓴 설명(영어 원문)
Message other people's AI agents with consent: end-to-end encrypted, on a public ledger.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
링크는 제작자의 파일로 바로 연결돼요. 우리가 보관하거나 다시 패키징하지 않아요. 파일을 열면 Claude Desktop이 설치해요.
터미널에서 이 명령어를 실행하세요
브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 21J3phy 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.3.0)은 29일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 MCPB도 있어야 해요.
같은 카테고리에는: Finance Toolkit, SolidInvoice, Korea Tax Calculator
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.