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Capability-based WASM sandbox for MCP tools — wasmtime, WASI-isolated, fuel/memory/time/I/O capped, signed execution records. Sub-ms, 8/8 attacks blocked.

MCP ServersOfficial Registry39 stars5 forksPythonApache-2.0Updated today
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95/100
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  • Open-source license (Apache-2.0)
  • Actively maintained (<30d)
  • Clear description
  • Topics declared
  • Documented (README)
Last scanned: 9/18/2026
Install in Claude Code / Claude Desktop
Method: pip / Python · ephemora-cell
Claude Code CLI
claude mcp add ephemora-cell -- python -m ephemora-cell
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "ephemora-cell": {
      "command": "python",
      "args": ["-m", "pip"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Install first: pip install ephemora-cell
Use cases

MCP Servers overview

# Ephemora Cell

### Secure execution for untrusted AI-generated code.

Run AI-generated code, MCP tools and plugins inside an enforced capability boundary — explicit resource limits, auditable execution records.

**8/8 attack vectors blocked · 424 tests · sub-millisecond warm execution**

Built for **AI agents, MCP tools, plugins, code interpreters, and other untrusted workloads.**

Fast, capability-based WASM execution: CPU, memory, time, I/O and filesystem budgets enforced per execution, with sign-ready execution records (RFC 8785 JCS canonicalization + ES256 `sign()`/`verify()` primitives).

<p align="center">
  <a href="https://pypi.org/project/ephemora-cell/">
    <img src="https://img.shields.io/pypi/v/ephemora-cell" alt="PyPI">
  </a>
  <a href="https://www.python.org/downloads/">
    <img src="https://img.shields.io/badge/python-3.10%2B-blue" alt="Python 3.10+">
  </a>
  <a href="https://opensource.org/licenses/Apache-2.0">
    <img src="https://img.shields.io/badge/license-Apache--2.0-green" alt="License">
  </a>
  <a href="https://github.com/MichaelS1011/ephemora-cell">
    <img src="https://img.shields.io/badge/status-stable-brightgreen" alt="Status">
  </a>
  <a href="https://github.com/MichaelS1011/ephemora-cell/stargazers">
    <img src="https://img.shields.io/github/stars/MichaelS1011/ephemora-cell" alt="GitHub stars">
  </a>
</p>


<p align="center">
  <picture>
    <source media="(prefers-color-scheme: dark)" srcset="assets/hero-dark.svg">
    <img src="assets/hero-light.svg" alt="AI Agent → Ephemora Cell enforcement stack → bounded result">
  </picture>
</p>

## The problem

AI agents increasingly need to write and execute code, call tools, and run plugins. The question that decides whether that is safe:

**How do you let an agent execute untrusted code without giving that code access to your host, your credentials, your network, or unlimited compute?**

```text
AI Agent ──▶ Tool / MCP ──▶ Ephemora Cell ──▶ WASM ──▶ bounded result
```

**Ephemora Cell** is a small, capability-based WASM execution runtime for exactly that job: an execution primitive — not an agent framework — that sits underneath your existing agent stack, MCP server, plugin system, or application.

## Every execution leaves evidence

Every tool call answers three questions at once — attached to the result as `_meta.execution`, canonicalized (RFC 8785 JCS) and signable:

| | Answer | Example fields |
|---|---|---|
| **RESULT** | what came back | `status`, `stdout`, `exit_code` |
| **COST** | what it cost | `fuel_consumed`, `elapsed_ms` |
| **POLICY** | under which rules it ran | memory limit, preopens, network policy, `wasmtime_version` |

"Verified. Not claimed." is a data field, not a slogan. Runnable demo: `python examples/signed_record_demo.py`.

## Quick Start

Three commands: install Cell, run something untrusted, read its audited receipt.

**1 — Install** (use a virtualenv; on Ubuntu ≥ 23.04 / Fedora a bare `pip install`
is refused by PEP 668. Windows: use Git Bash or WSL, and `python` instead of `python3`):

```bash
python3 -m venv .venv && source .venv/bin/activate
python -m pip install ephemora-cell
```

**2 — Run something untrusted** (the repo ships examples, or bring any `.wasm`):

```bash
git clone https://github.com/MichaelS1011/ephemora-cell.git && cd ephemora-cell
ephemora-cell run examples/hello.wasm
```

```text
Hello from Ephemora Cell!
```

**3 — Read the audited receipt** — same run, machine-readable. Here a hostile module
(`examples/fuel_bomb.wasm`) is given a 100-unit fuel budget and stopped, exactly as
budgeted:

```bash
ephemora-cell run examples/fuel_bomb.wasm --fuel 100 --json
```

```json
{
  "status": "fuel_exhausted",
  "exit_code": 0,
  "fuel_consumed": 100,
  "fuel_budget": 100,
  "stdout_bytes": 0
}
```

Same from Python — every result carries status, cost and captured output:

```python
from ephemora_cell import run_wasm

result = run_wasm("examples/hello.wasm", max_fuel=1_000_000, timeout_seconds=30)
print(result.stdout)          # captured output (10 KB cap)
print(result.status.name)     # SUCCESS
print(result.elapsed_ms)      # wall time
print(result.fuel_consumed)   # compute actually used
```

**Where to next:** agent/tool isolation → [Secure MCP tool execution](#secure-mcp-tool-execution) (3-line setup) · CI gating for untrusted PRs → [GitHub Action](#untrusted-pr-code-in-github-actions) · CLI reference and usage recipes → [docs/recipes.md](docs/recipes.md). Something failed? The usual suspects are venv not activated, `python3` vs `python` on Windows, or a wrong `.wasm` path — [docs/recipes.md](docs/recipes.md) covers them.

![Ephemora Cell demo — install, sandboxed runs with attested baselines, a fuel bomb stopped and fully accounted, attack blocked](assets/demo.gif)

*Real CLI session: install, first run, machine-readable `--json` report with the security baseline, a fuel bomb stopped at exactly 100/100 units, and an attack module (`exploit.wasm`) blocked at the WASI import layer. Verify every frame: the commands run as shown from a clone.*

## Why this matters

Agent-generated code is different from application code: it can be buggy, computationally unbounded, unexpectedly expensive — or hostile. The runtime must **enforce** boundaries, not document them. Every Cell run does:

- **Enforced, not promised** — fuel metering (CPU), memory caps, epoch-based wall-clock timeouts, output caps and I/O budgets are enforced per execution; the effective posture is attested in an execution record that is
  canonicalized (RFC 8785 JCS) and sign-ready (`sign()`/`verify()` shipped).
- **Measured isolation advantage** — of the attack vectors that succeed against a stock Docker container (shell, fork, socket, host filesystem, symlink escape, …), all 8 are blocked here (live-verified, script in the repo).
- **Sub-millisecond warm execution** — 0.17 ms guest / 0.51 ms end-to-end (pooled, measured 2026-09-14; `benchmarks/results/`) makes sandboxing every call affordable instead of exceptional.

## What is enforced

Every execution runs under explicit limits — no opt-in security:

| Resource | Default |
|---|---|
| WASM memory | 128 MB (`Store.set_limits`) |
| Fuel / CPU budget | 1,000,000 (~13 fuel/iteration, R² = 1.000; 2026-09-14 re-measured, macOS arm64 — fuel counts are per-platform, not cross-platform) |
| Wall-clock timeout | 30 s (epoch interruption) |
| Captured stdout/stderr | 10 KB |
| Network | disabled — no socket APIs in WASI |
| Host filesystem | denied by default; 14 dangerous dirs blocked (`/dev`, `/proc`, `/sys`, …) |
| Process exec / fork | unavailable in WASI |
| Threading | disabled (`wasm_threads=False`) |

Additional controls: **I/O budgets** (`io_cpu_seconds=2.0` / `io_budget_bytes=64 MiB` — walls for host work, not just guest compute), **dual-ABI** (WASI Preview1 + WASI 0.2 components, opt-in), **memory64 opt-in**, **GC-heap declared cap** (recorded in the security baseline; fuel remains the effective bound), **named state** (64 entries · 256 KiB · 1 MiB per session), and an **egress sidecar** reference mediator (allowlist-validated host-side API calls — [docs/egress_patterns.md](docs/egress_patterns.md)).

## Security

The guest receives only the capabilities explicitly made available to it. Live verification of eight attack classes ([`benchmarks/verify_8_vectors.py`](benchmarks/verify_8_vectors.py)):

| Attack class | Docker | Ephemora Cell |
|---|---|---|
| Shell (`os.system`) / fork / network sockets | ALLOWED | **BLOCKED** — APIs don't exist in WASI |
| fsync (`os.fsync`) | ALLOWED | **BLOCKED** — import-level rejection |
| Host filesystem (`/etc/passwd`) | ALLOWED | **BLOCKED** — preopen default-deny |
| Symlink escape | ALLOWED | **BLOCKED** — dangerous directory filter |
| Multi-threading | ALLOWED | **BLOCKED** — `wasm_threads=False` |
| Environment access | ALLOWED | **BLOCKED** — controlled via `allow_env` |

**Result: 8/8 attack vectors blocked (live-verified); Docker baselines are measured live per run — never hardcoded.**

![Same attack, different boundary — 8 attack primitives allowed in a stock Docker container, all 8 blocked by Ephemora Cell](assets/same-boundary.gif)

*Same eight attack primitives, measured live (Docker probe 2026-09-02, Cell probe 2026-09-12 — now with a positive control proving the preopen grant works): a stock `python:3.12-slim` container lets every one through (0/8 blocked), the Ephemora Cell boundary blocks all eight (8/8). Reproduce both columns:*

```bash
python assets/demo_attack_probe.py    # left column  -> 0/8 blocked (stock Docker)
python benchmarks/verify_8_vectors.py # right column -> 8/8 blocked (Ephemora Cell)
```

**How the 8/8 is measured.**

- **Environment:** MacBook Pro M5, macOS arm64, wasmtime 47.0.1
- **Docker probe (2026-09-02):** stock `python:3.12-slim` via `docker run --rm` — the measured exit code decides ALLOWED vs BLOCKED, nothing hardcoded
- **Cell probe (2026-09-12):** `verify_8_vectors.py` against the live runtime, same eight attack intents expressed per platform (WASM guests for the Cell side, `python3 -c` bodies for Docker; verification method detailed in [`docs/security_posture.md`](docs/security_posture.md))
- **Workload:** self-contained payloads, no downloads, no credentials
- **Attack classes (8):** shell (`os.system`), fork, network socket, fsync, host filesystem read (`/etc/passwd`), symlink escape, threading, environment leak
- **Positive control:** each blocked vector is paired with a granted-capability control that **must succeed** on the same sandbox config (e.g. the symlink test's real target file must open errno 0) — if the control fails, the harness is broken, not the sandbox, and the run does not count
- **Raw evidence:** `benchmarks/results/2026-09-02/01_docker_attack_probe.json` + `02_cell_8_vector_verify.json`

**MCP CVE replays.** The official MCP reference servers have real, patched CVEs against this exact surface. [`benchmarks/mcp_cve_replay.py`](benchmarks/mcp_cve_replay.py) replays them
ai-agentsai-mcpai-securitycapability-based-securitycode-executionmcpmcp-servermodel-context-protocolpythonsandboxsecuritywasiwasi-preview1wasmwasm-sandboxwasmtimewebassembly

What people ask about ephemora-cell

What is MichaelS1011/ephemora-cell?

+

MichaelS1011/ephemora-cell is mcp servers for the Claude AI ecosystem. Capability-based WASM sandbox for MCP tools — wasmtime, WASI-isolated, fuel/memory/time/I/O capped, signed execution records. Sub-ms, 8/8 attacks blocked. It has 39 GitHub stars and its last recorded update is dated 2026-09-17.

How do I install ephemora-cell?

+

You can install ephemora-cell by cloning the repository (https://github.com/MichaelS1011/ephemora-cell) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is MichaelS1011/ephemora-cell safe to use?

+

Our security agent has analyzed MichaelS1011/ephemora-cell and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains MichaelS1011/ephemora-cell?

+

MichaelS1011/ephemora-cell is maintained by MichaelS1011. The last recorded GitHub activity is dated 2026-09-17, with 5 open issues.

Are there alternatives to ephemora-cell?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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