SOMA

One private memory. Every agent you trust — powered by the official Model Context Protocol.

SOMA MCP is a private, self-hosted reference implementation of the official Model Context Protocol (MCP). It puts a single person's memory behind a small set of MCP tools that any MCP-compatible agent — Claude, ChatGPT, Cursor, VS Code, or your own — can call over an authenticated connection.

Where most MCP servers wrap a public API or a shared SaaS backend, SOMA MCP wraps your own retrieval pipeline over your own data, on hardware you control. Same protocol, same clients, sovereign substrate.

This repository is the reference implementation of the SOMA MCP server: the FastMCP transport shell, the FastMCP-free tool kernel, and the rate-limit / audit guard — with the retrieval engine abstracted behind an Engine interface. A dependency-free InMemoryEngine ships so the server runs and its tests pass out of the box. Plug in your own Engine to front your own memory.

spec license

Why it's different

The differentiator is not the protocol — it's sovereignty over the substrate while staying fully compatible with the standard.

What it implements

• Transport: Streamable HTTP (the current MCP transport) at /mcp.
• Capability: tools — nine tools (search, get, debug, context, whoami, write, update, delete, feedback). A clean, valid subset of the protocol.
• Authorization: OAuth 2.1 via Auth0, plus a fail-closed subject allowlist (a valid token is necessary but not sufficient) and a stricter allowlist for writes.
• Safety: per-subject sliding-window rate limit, JSONL audit log on writes, a two-step confirm on delete, note size caps, masked internal errors, and a central prompt-injection data-boundary fence on every returned memory string.

See docs/compliance.md for an honest gap analysis against the spec, and docs/ for architecture, security, tools, and auth.

Quick start (local, unauthenticated)

pip install -e .
soma-mcp            # serves Streamable HTTP at http://localhost:8000/mcp

Without AUTH0_* env vars the server runs unauthenticated for local experimentation (it warns loudly). Set MCP_SINGLE_USER=1 so the fail-closed guards allow your calls. Point MCP Inspector at http://localhost:8000/mcp to browse tools/list and fire calls.

Out of the box it uses the InMemoryEngine (substring search, in-memory notes) — enough to see the protocol working end to end.

Plug in your own memory

Implement the Engine protocol (src/soma_mcp/engine.py) over your own retrieval stack and inject it:

from soma_mcp import build_server
from my_stack import MyEngine          # implements soma_mcp.engine.Engine

mcp = build_server(MyEngine())
mcp.run(transport="http", host="0.0.0.0", port=8000)

The Engine surface is exactly nine methods (search, filter, get, assemble context, add/update/delete note, log feedback). The tool kernel, guards and prompt-injection fence are reused unchanged.

Production (authenticated)

Set the Auth0 variables and run behind TLS (e.g. a tunnel). See docs/auth.md and .env.example.

Tests

pip install -e .[dev]
pytest

The security-critical kernel (fail-closed guards, the data-boundary fence, the two-step delete, size caps) is covered without an auth environment — the shell is dumb, the kernel is covered.

Note on language

SOMA is a Dutch-language personal system. The live SOMA server uses Dutch tool parameter names (vraag, tekst, bevestig, diep, oordeel), as documented under docs/. This public reference anglicizes them (question, text, confirm, deep, verdict) for accessibility; the semantics are identical. A couple of result-dict keys retain their Dutch names (tekst, bronnen, datum, herkomst) to match the documented surface.

About the standard

MCP is an open standard introduced by Anthropic in 2024. In December 2025 it was contributed to the Agentic AI Foundation (AAIF) under the Linux Foundation, placing it under vendor-neutral governance. This implementation tracks the 2025-11-25 stable specification revision.

• Specification & SDKs: https://github.com/modelcontextprotocol
• Site: https://modelcontextprotocol.io

License

Apache-2.0.