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Saferagenticai MCP server

by NellInc·io.github.NellInc/saferagenticai-mcp·v0.3.6

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

A88/100grade A
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Safety scan
A88/100

full report

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0 stars41 downloads/wk

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Saferagenticai tools (12)

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  • find_patterns_for_taskFree

    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.

  • get_cross_referencesFree

    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.

  • get_operational_heuristicFree

    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.

  • get_requirementFree

    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.

  • get_reverse_referencesFree

    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.

  • list_operational_heuristicsFree

    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.

  • list_requirementsFree

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

  • list_suitesFree

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

  • list_unreviewedFree

    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.

  • resolve_idFree

    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'.

  • review_statsFree

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

  • search_patternsFree

    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.

Public scan report

scanner v0.1.9 · 2026-09-20 · same rubric, same numbers if you re-run it

1 medium
  • Code scan250 source files scanned20/25
  • Live reliabilityremote reachable in 908ms20/20
  • Tool poisoning12 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 17 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • mediumeval / new Function usedexec.eval
    saferagenticai_mcp-0.3.6/saferagenticai_mcp/_data/suites/I2/I2--idx9--supervisory-systems-and-adjudication.yaml: …ent):\n \ \ # Fast tier: rule eval (policy-as-code)\n flags = RULE_EN…
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install directly

claude mcp add --transport http saferagenticai-mcp https://mcp.saferagenticai.org/mcp
Add to Cursor

Saferagenticai: common questions

Is Saferagenticai MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the Saferagenticai safety report
How do I install Saferagenticai?
It runs remotely at mcp.saferagenticai.org. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Saferagenticai need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Saferagenticai maintained?
The last commit was 17 days ago (2026-09-03). The latest release is v0.3.6.
Is Saferagenticai up?
100% of our last 6 checks got an answer. We check remote servers about four times a day.

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