Agentprofile

io.github.everyai-comPublished by GitHub account everyai-comv0.1.0Updated Oct 27, 2026

One profile — skills, credentials, and memory — synced to every agent tool via one MCP URL.

VerifiedStreamable HTTPWeb executableKnowledge & MemoryAI & ML

Overview

AI-generated overview

Remote MCP server that gives AI coding tools one shared profile of skills and memory, synced through a single URL.

What you can do
  • Retrieve the profile context, skills and stored facts for the connected agent
  • List, read and add skills to the shared profile
  • Store, recall and delete memories so facts persist across tools
  • Sync the same profile across Claude Code, Cursor, Codex and other MCP clients
  • Manage memories and skills from a web dashboard with real-time updates
When to use it
Useful when you work across several AI coding tools and want preferences, facts and skills to carry over instead of being re-pasted into each one. Also suits people who want a small, self-hostable memory layer rather than a full knowledge base.
Requirements
A remote Streamable HTTP endpoint; no local install required. Authentication is required: OAuth discovery or a bearer token in the Authorization header (the CLI can create one). The hosted instance can create an anonymous profile without signup. Self-hosting needs a Cloudflare account with Workers and R2.
Before you install
The profile holds memory and, per the roadmap, credentials, so treat the bearer token as a secret and avoid pasting it into shared configs. The dashboard lets you add and delete memories and skills, and agents can write and forget facts, so stored data can change or be lost. The hosted instance keeps your profile data on a third-party service; self-host if that matters.

Installation

In SourceWeft

  1. Open Agentprofile in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.everyai-com%2Fagentprofile/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "agentprofile": {
      "type": "http",
      "url": "https://agentprofile.everyai-com.workers.dev/mcp"
    }
  }
}

README

agentprofile

[license] [MCP] [clients] [status]

Your agent's identity, everywhere. One profile — skills, credentials, and memory — synced to every agent tool through a single MCP URL. Open source, zero-knowledge, and self-hostable on your own Cloudflare account.

Every AI tool you use — Claude Code, Cursor, Codex — starts from zero: its own skills, its own pasted API keys, its own amnesia. agentprofile gives them one shared brain.


Live now: hosted at https://agentprofile.everyai-com.workers.dev · dashboard at /app

Connect (any MCP client)

The server is a remote MCP server (Streamable HTTP) — no install needed, just one URL:

https://agentprofile.everyai-com.workers.dev/mcp

It supports two ways to authenticate:

  • OAuth (recommended) — clients that support MCP OAuth discover it automatically from the URL and show a consent screen.
  • Bearer token — run npx @magicteams_ai/agentprofile to get a token, or hit POST /profiles.
Claude Code
bash
claude mcp add --transport http agentprofile https://agentprofile.everyai-com.workers.dev/mcp

Or with a bearer token:

bash
claude mcp add --transport http agentprofile https://agentprofile.everyai-com.workers.dev/mcp \  --header "Authorization: Bearer ap_…"
Cursor / other mcp.json clients
json
{  "mcpServers": {    "agentprofile": {      "url": "https://agentprofile.everyai-com.workers.dev/mcp",      "headers": { "Authorization": "Bearer ap_…" }    }  }}
Codex CLI
bash
export AGENTPROFILE_TOKEN="ap_…"codex mcp add agentprofile --url https://agentprofile.everyai-com.workers.dev/mcp --bearer-token-env-var AGENTPROFILE_TOKEN

Or, for a client that does OAuth discovery:

bash
codex mcp add agentprofile --url https://agentprofile.everyai-com.workers.dev/mcp
VS Code / Copilot
json
{  "servers": {    "agentprofile": {      "type": "http",      "url": "https://agentprofile.everyai-com.workers.dev/mcp"    }  }}

Or just run npx @magicteams_ai/agentprofile and it configures every client it finds.

60-second demo

bash
npx @magicteams_ai/agentprofile

That creates an anonymous profile (no signup) on the hosted instance, auto-detects your installed MCP clients, and writes their config. Restart your tools, then:

  1. In Claude Code: "Remember that I prefer pnpm over npm."
  2. In Cursor: "What package manager do I prefer?"

It recalls it. That's your profile, everywhere.

What's in this repo (Phase 1)

This is the Phase 1 implementation from the master plan: a working end-to-end skeleton that syncs skills and memory across tools over MCP. Credentials (zero-knowledge), OAuth, semantic recall, and the skill registry land in later phases — see Roadmap.

PathWhat it is
apps/workerThe Cloudflare Worker: a remote MCP server backed by one Durable Object per profile (SQLite for memory, R2 for skill bundles), plus a landing page (/) and a live dashboard (/app) with real-time WebSocket sync.
packages/cliThe agentprofile CLI: instant-profile onboarding, client auto-config, doctor, skill add.

Web UI

  • / — landing page with the one-command install and the pitch.
  • /app — live dashboard. Paste your token (or hit "Create new") and watch skills and memory update in real time: when any agent calls remember, the fact appears instantly over a WebSocket. Add or delete memories and skills right from the page.
  • /setup-prompt — the "set up with your agent" prompt: paste it into Claude Code or Cursor and your own agent installs and verifies agentprofile for you.

How it works

agent tool ──Streamable HTTP──▶ Worker ──idFromName(profileId)──▶ ProfileDO  (Claude Code / Cursor)          /mcp                            per-user SQLite                                                                  • facts (memory)                                                                  • skills
  • One Durable Object per user is the source of truth. It validates the profile's secret on every call and owns that profile's memory and skills.
  • Bearer token = ap_<profileId>.<secret>. The profileId routes to the DO; the DO verifies a SHA-256 hash of the secret. No central token table.
  • The MCP surface is 6 tools: get_context, list_skills, get_skill, remember, recall, forget. Deliberately small — every description byte is paid on every client turn (pinned in tests).

Run it locally

bash
npm installnpm run dev            # starts the Worker on http://localhost:8787

In another terminal:

bash
# point the CLI at your local serverAGENTPROFILE_SERVER=http://localhost:8787 npx @magicteams_ai/agentprofile

Run the tests and typecheck:

bash
npm --workspace apps/worker run testnpm --workspace apps/worker run typecheck

Deploy your own (self-host)

agentprofile self-hosts on your own Cloudflare account — the free Workers tier covers personal use.

bash
cd apps/workernpx wrangler r2 bucket create agentprofile-bundlesnpx wrangler deploy# then set PUBLIC_BASE_URL to your deployed URL and connect with:AGENTPROFILE_SERVER=https://agentprofile.<you>.workers.dev npx @magicteams_ai/agentprofile

Roadmap

  • P1: MCP server + ProfileDO, 6 tools, memory + skills, instant-profile CLI, live dashboard. ✅
  • P2: per-client grants + audit log with live enforcement + dashboard access panel ✅; MCP sessions (Mcp-Session-Id) ✅; semantic recall via Workers AI embeddings (keyword fallback) ✅; pluggable memory providers (builtin default + Mem0 + Supermemory adapters, /memory-config) ✅; OAuth 2.0 + PKCE consent flow with discovery, dynamic registration, and consent screen ✅.
  • P3: zero-knowledge credentials (client-side E2E), JIT injection, approval flow.
  • P4: one-click Deploy-to-Cloudflare, signed skill registry, format translators.
  • P5: teams, SSO, hosted cloud.

See the full plan in docs/.

Contributing

Contributions are welcome under the DCO — sign off commits with git commit -s. See SECURITY.md for responsible disclosure.

License

Apache-2.0.


Part of the everyai-com agent stack

Open-source infrastructure for local-first, governed AI agents:

  • distillory — local-first memory engine that reasons at ingestion
  • agent-ready — turn any app into an MCP server + API + CLI, safe by default
  • primer — live business context injected into any agent
  • plainsync — local-first Markdown workspace for humans + agents
  • argus — cloud-native software verification with parallel browser testing
  • mintly-alternative — self-hostable documentation layer for humans + AI agents
  • talltrack — sales calls in, publishable content out

Built by Phanindra Reddy · magicteams.ai

Source: README.md at commit d1909ab

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Version history

1
  1. v0.1.0LatestSep 16, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts