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A pre-action risk gate for AI agents. Your agent calls the forecast tool before any irreversible action — send email, run SQL, make a payment, delete a file — a
A pre-action risk gate for AI agents. Your agent calls the forecast tool before any irreversible action — send email, run SQL, make a payment, delete a file — and gets a risk score (0–100) and a GO / CONFIRM / STOP verdict in a few seconds.
A guardrail for AI agents, as an MCP server. Your agent calls one tool — forecast — before any irreversible action (send email, move money, run SQL, delete data, post content). It gets back a risk score (0–100), a reversibility class, a GO / CAUTION / STOP recommendation, and named red flags in a few seconds (~4-8s).
Works in any MCP host: Claude Desktop, Claude Code, Cursor, Windsurf, and any agent framework with MCP support.
The wall between your agent and disaster. A BLUETIER product.
Sign up free at https://blackwalltier.com → Dashboard → API keys → Create key.
Free tier: ~100 forecasts/month, no card. Your key looks like bw_live_….
Edit claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": {
"blackwall": {
"command": "npx",
"args": ["-y", "blackwall-mcp"],
"env": { "BLACKWALL_API_KEY": "bw_live_your_key_here" }
}
}
}
Restart Claude Desktop. You'll see a forecast tool available.
Settings → MCP → Add new global MCP server, then in mcp.json:
{
"mcpServers": {
"blackwall": {
"command": "npx",
"args": ["-y", "blackwall-mcp"],
"env": { "BLACKWALL_API_KEY": "bw_live_your_key_here" }
}
}
}
claude mcp add blackwall -e BLACKWALL_API_KEY=bw_live_your_key_here -- npx -y blackwall-mcp
BLACKWALL_API_KEY=bw_live_your_key_here npx -y blackwall-mcp
Once added, instruct your agent: "Before any irreversible action, call the forecast tool and stop if it returns STOP." The model will call it automatically when it's about to do something risky.
forecast tool| Parameter | Type | Required | Description |
|---|---|---|---|
action |
string | ✅ | The action type, e.g. send_email, make_payment, run_sql, delete_file, post_content |
inputs |
object | ✅ | Concrete parameters: recipient, amount_usd, SQL statement, file path, message body, URL, etc. |
context |
object | — | Optional: { agent_role, user_intent, environment } |
depth |
standard | deep |
— | Analysis depth. standard is the default. |
Returns: recommendation (GO/CAUTION/STOP), risk_score (0–100), reversibility (class + rollback cost), gate (proceed/confirm/human-required), confidence, red_flags[], predicted_result, alternative_actions[].
Agent about to run DELETE FROM users; (no WHERE clause) →
🛑 BLACK_WALL: STOP — risk 99/100
Red flags:
• [CRITICAL] SQL_NO_WHERE — deletes the entire table, not one row
• [CRITICAL] INTENT_MISMATCH — intent was "remove a single test row"
• [CRITICAL] IRREVERSIBLE_NO_BACKUP — no recovery path
Guidance: DO NOT take this action. Surface the red flags to the user.
Not ready to let a guardrail block your agents? Start in observe mode. It scores and logs every action but never tells the agent to stop — your agents behave exactly as they do today. After a week, review your dashboard and see what it would have caught.
{
"mcpServers": {
"blackwall": {
"command": "npx",
"args": ["-y", "blackwall-mcp"],
"env": {
"BLACKWALL_API_KEY": "bw_live_your_key_here",
"BLACKWALL_MODE": "observe"
}
}
}
}
Then see "what your agents almost did" in your dashboard. Flip BLACKWALL_MODE to enforce (or just remove it — enforce is the default) when you're ready to actually block.
The server exposes two MCP tools:
forecast — pre-action risk check. Returns GO / CAUTION / STOP, risk score, named red flags, reversibility class, and a verifiable receipt.observe — post-action outcome report. Tells BLACK_WALL what actually happened after the action ran (or after the agent obeyed a STOP verdict). Closes the loop so the system can track prediction accuracy over time. FREE — no tokens charged.Wire your agent to call forecast before any irreversible action, then call observe afterwards with the forecast_id from the original response. observe accepts an outcome_class (matched / over_scope / under_scope / no_op / diverged / aborted) and optional divergence_severity and details. See the forecast example below; the same wiring applies to observe.
Every forecast response now includes a receipt field — an Ed25519 signature over canonical SHA-256 hashes of the request + response. Anyone with the published public key can verify offline that BLACK_WALL signed off on a specific (request, response) pair, without trusting our servers.
POST https://blackwalltier.com/api/v1/receipts/verify with { envelope, request_body, response_body }The MCP server surfaces the receipt id in its tool output so your agent can log it for later replay / audit.
| Env var | Required | Default | Notes |
|---|---|---|---|
BLACKWALL_API_KEY |
✅ | — | bw_live_… from your dashboard |
BLACKWALL_BASE_URL |
— | https://blackwalltier.com |
|
BLACKWALL_MODE |
— | enforce |
observe = log only, never block |
MIT licensed.
Выполни в терминале:
claude mcp add blackwall-mcp -- npx Read, send and search emails from Claude
автор: GoogleSend, search and summarize Slack messages
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