# io.github.NellInc/saferagenticai-mcp (remote · mcp.saferagenticai.org)

Read-only tools over the Safer Agentic AI framework: 238 patterns + 14 heuristics.

- Trust score: 58/100 (low)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `mcp.saferagenticai.org`: 58/100 (this document), [markdown](https://verifymcp.io/servers/nellinc-saferagenticai-mcp/mcp.md), [page](https://verifymcp.io/servers/nellinc-saferagenticai-mcp/mcp)
- pypi · `saferagenticai-mcp`: 21/100, [markdown](https://verifymcp.io/servers/nellinc-saferagenticai-mcp/saferagenticai-mcp.md), [page](https://verifymcp.io/servers/nellinc-saferagenticai-mcp/saferagenticai-mcp)

## Channel facts

- Endpoint: `https://mcp.saferagenticai.org/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.3.4`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 46/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 12 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS not yet verified: we couldn't determine whether a plaintext access path exists.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 70/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 975 tokens (~81/item across 12 items; 12 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 69/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 8% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http nellinc-saferagenticai-mcp https://mcp.saferagenticai.org/mcp
```

### Codex

```toml
[mcp_servers.nellinc-saferagenticai-mcp]
url = "https://mcp.saferagenticai.org/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "nellinc-saferagenticai-mcp": {
      "type": "remote",
      "url": "https://mcp.saferagenticai.org/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add nellinc-saferagenticai-mcp --url https://mcp.saferagenticai.org/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  nellinc-saferagenticai-mcp:
    url: "https://mcp.saferagenticai.org/mcp"
```

### Other

```json
{
  "mcpServers": {
    "nellinc-saferagenticai-mcp": {
      "type": "http",
      "url": "https://mcp.saferagenticai.org/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 58, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 57, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 57, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-28 (score 56, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 55, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 54)

First indexed and scored.

## MCP tools (12)

### `list_suites` (~43 tokens)

List all 16 suites in the SaferAgenticAI framework (9 drivers + 7 inhibitors) with subgoal counts and titles. Call this first to orient.

### `get_requirement` (~83 tokens)

Retrieve one subgoal (framework normative content + Pattern layer guidance) by pattern_id (e.g., 'D3::idx2::sandboxing') or display_id (e.g., 'D3.2'). display_id may resolve to multiple subgoals — underlined variants share display_ids.

Input parameters:

- `id` (string, required)
- `include_pattern` (boolean)

### `list_requirements` (~103 tokens)

List subgoals matching filters (suite_id, suite_type, content_type, min_confidence, missing_pattern_only). Results capped by limit (default 50, max 100).

Input parameters:

- `content_type` (string)
- `include_pattern` (boolean)
- `limit` (integer)
- `min_confidence` (string)
- `missing_pattern_only` (boolean)
- `suite_id` (string)
- `suite_type` (string)

### `search_patterns` (~127 tokens)

Field-weighted keyword search across the framework. Substring match on lowercased terms; field weights: title 10x, summary 4x, SFR text 3x, description 2x, pattern body 1x. `matched_in` reports the highest-weighted field that matched. No semantic / embedding search — known limitation, see /mcp.html. Use verbosity='compact' to drop snippets and confidence flags (~70% smaller payload) when triaging.

Input parameters:

- `limit` (integer)
- `query` (string, required)
- `verbosity` (string)

### `get_cross_references` (~102 tokens)

Return outgoing adjacencies for a pattern. `explicit_cross_references` are author-asserted (each pattern's `cross_references` YAML field). `inferred_adjacent` (when include_inferred=true) currently returns *same-suite siblings only* — it does not do semantic similarity. Treat inferred entries as 'neighbours worth scanning,' not as endorsed dependencies.

Input parameters:

- `id` (string, required)
- `include_inferred` (boolean)

### `resolve_id` (~73 tokens)

Resolve a loose reference (partial id, display_id, slug fragment, or title keyword) to canonical pattern_id(s). Call this when you have a rough reference and need the exact id before calling get_requirement. Always returns candidates — never 'not found'.

Input parameters:

- `limit` (integer)
- `query` (string, required)

### `find_patterns_for_task` (~110 tokens)

Given a natural-language task description (e.g., 'I'm building a tool-using agent that runs shell commands'), return the most relevant patterns grouped by suite. Use this as a starting point for any cross-cutting design question; then follow up with get_requirement on specific pattern_ids. Defaults to verbosity='compact' (cheap triage); pass 'full' to inline snippets and confidence flags.

Input parameters:

- `limit` (integer)
- `task` (string, required)
- `verbosity` (string)

### `list_unreviewed` (~60 tokens)

Return patterns that have not been human-reviewed yet (no reviewed_by). Sorted low-confidence first, then needs_human_review flagged, then alpha. Use during Phase 3 review to pick the next pattern to examine.

Input parameters:

- `limit` (integer)

### `review_stats` (~31 tokens)

Coverage stats: total patterns, reviewed %, per-suite and per-confidence breakdown. Surfaces load-time validation issue count.

### `get_reverse_references` (~55 tokens)

Return patterns that reference the given pattern_id in their cross_references. Complement to get_cross_references (outgoing); this shows incoming. Use to find all consumers of a given pattern.

Input parameters:

- `id` (string, required)

### `list_operational_heuristics` (~123 tokens)

List operational heuristics distilled from production agentic AI deployment (Claude Code, Rewind). These are cross-cutting safety principles discovered through building and operating AI agents, mapped to framework suites. Optional filters: suite_id (heuristics relevant to a specific suite), query (keyword search across titles and principles). Separate from the normative pattern layer — different category of knowledge.

Input parameters:

- `query` (string): Keyword search across titles, principles, narratives
- `suite_id` (string): Filter by framework suite (e.g., 'D3', 'I2')

### `get_operational_heuristic` (~65 tokens)

Retrieve a single operational heuristic by id (e.g., 'OH::geoffrey-pattern'). Returns the full entry: principle, framework mapping, evidence sources from production deployment, design patterns, anti-patterns, and discovery narrative.

Input parameters:

- `id` (string, required)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/nellinc-saferagenticai-mcp/mcp#diagnostics

## Score history

- 2026-08-03: 58
- 2026-08-02: 58
- 2026-08-01: 57
- 2026-07-31: 57
- 2026-07-30: 57
- 2026-07-29: 56
- 2026-07-28: 56
- 2026-07-27: 55
- 2026-07-26: 54

## Links

- Remote endpoint: https://mcp.saferagenticai.org/mcp
- Repository: https://github.com/NellInc/saferagenticai-mcp
- Changelog RSS feed: https://verifymcp.io/servers/nellinc-saferagenticai-mcp/mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/nellinc-saferagenticai-mcp/mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/nellinc-saferagenticai-mcp/mcp