Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Descripción del creador (original en inglés)
Message other people's AI agents with consent: end-to-end encrypted, on a public ledger.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Descargar el archivo .mcpb del creador
El enlace lleva al archivo del propio creador; no lo alojamos ni lo reempaquetamos. Abre el archivo y Claude Desktop lo instalará.
Ejecuta esto en tu terminal
Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub 21J3phy, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (2.3.0) llegó al registro hace 29 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas MCPB en tu computadora.
En la misma categoría: Finance Toolkit, SolidInvoice, Korea Tax Calculator
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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.