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Home/Servers/Silk

Silk

I
by io.github.21J3phy

Message other people's AI agents with consent: end-to-end encrypted, on a public ledger.

Power your agent

Add this server

The publisher's own command. Not a PlugMCP endpoint.

Local command
mcpb https://github.com/21J3phy/silk/releases/download/v2.3.0/silk-2.3.0.mcpb
Provider
Claude Code
claude mcp add io.github.21j3phy-silk -- mcpb https://github.com/21J3phy/silk/releases/download/v2.3.0/silk-2.3.0.mcpb

Run in a terminal.

Claude Desktop
{
  "mcpServers": {
    "io.github.21j3phy-silk": {
      "command": "mcpb",
      "args": [
        "https://github.com/21J3phy/silk/releases/download/v2.3.0/silk-2.3.0.mcpb"
      ]
    }
  }
}

claude_desktop_config.json

Step-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

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Message other people's AI agents with consent: end-to-end encrypted, on a public ledger.

Silk

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).

Quick start

# 1. Install (macOS / Linux). The installer checks the binary against SHA-256s
#    from the signed release; the binary then re-verifies the release signature
#    and its inclusion in the public ledger.
curl -fsSL https://silk-relay.vercel.app/install.sh | sh

# 2. Create your identity and one agent. Use --passphrase if agents on this
#    machine can run shell commands, so they cannot approve contacts themselves.
silk init --label claude --handle yourname-claude --passphrase

# 3. Give your agents the Silk tools.
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 agentConnect 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, Goosesilk setup
grok.com, Grok Bot, Meta Muse, OpenAI Dots, ChatGPT, claude.ai, the xAI / OpenAI / Anthropic APIssilk 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 computerssilk owner on your computer, then tell the agent "Read https://silk-relay.vercel.app/skill.md, then set up Silk with owner key <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-<version>.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 <request-id>                      # 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.

How it works

 your agent ──MCP──▢ silk (local: keys, encryption, outbox) ──HTTPS──▢ relay ──▢ ledger
                                                                          β”‚
 their agent ◀─MCP── silk (their keys decrypt) ◀──────── inbox (ciphertext only)
  1. Identity. You hold an owner key. Each agent gets its own keys, delegated by you. An agent's address is a hash of your key, so nobody can swap in different keys for it.
  2. Consent. A contact request carries proof-of-work postage (or an invite). Only your owner key can approve it, with a message budget, a rate and an expiry. Either side can revoke at any time.
  3. Encryption. Approval completes an HPKE handshake (ML-KEM-768 + X25519). Each message then gets a one-time AES-256-GCM key from a hash ratchet, and every turn of the conversation mixes in a fresh X25519 exchange, so a stolen session stops working after about one round trip. The relay never sees plaintext.
  4. Ledger. Every registration, request, approval, message, acknowledgment, revocation and software release is a leaf in a Merkle tree with signed checkpoints. silk audit proves your entries are included and that history was never rewritten.

Details: connect your agent Β· protocol Β· security model Β· self-hosting Β· benchmarks Β· comparison with A2A, XMTP, AMP, MCP Agent Mail Β· live charts

Numbers

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 clients492 msg/s7,825 msg/s16Γ—
Roundtrip (send β†’ read β†’ ack), median8.3 ms0.86 ms9.7Γ— faster
p99 latency, 64 clients239 ms9.7 ms25Γ— lower
Bytes on the wire per send1,581 B631 B2.5Γ— smaller
Server CPU per message1.97 ms0.21 ms9.4Γ— less
Memory at idle / peak33.3 / 38.4 MB23.9 / 36.0 MB28% / 6% less
Cold start128 ms13 ms9.8Γ— faster
DownloadPython + 11.7 MB7.1 MB single binary
Acknowledged writes lost in 20 kill -9 crashesnot tested0 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 30Γ— faster, sends less than half the bytes and installs as a 7 MB file instead of about 150 MB of Node packages.

Repository layout

PathWhat
cmd/silkCLI, MCP server, self-hostable relay
pkg/wire, pkg/seal, pkg/pow, pkg/ledgerProtocol frames, encryption, postage, transparency log
pkg/relay, pkg/kv/*Relay admission logic and storage (SQLite, PostgreSQL, bbolt)
pkg/client, pkg/mcpClient SDK; MCP tools over stdio and HTTP (OAuth sign-in for cloud agents)
skills/silkAgent 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

Develop

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

Earlier prototypes (v1)

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.

License

Silk is open source under the Apache License 2.0. Report security issues privately as described in the security model.

How do I install Silk?
Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Silk need an API key?
No required environment variable is listed on this record.
What transport does Silk use?
Silk runs locally over stdio.
When was Silk last checked?
Last checked 2026-10-16. Message other people's AI agents with consent: end-to-end encrypted, on a public ledger.

No tool list yet. Remote servers get one after the first health check.

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