Dcl Webhook vs Agent Security Scanner MCP

A side-by-side look at the Dcl Webhook and Agent Security Scanner MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Dcl Webhook logoDcl WebhookSecurity · Remote HTTP/SSEDeterministic AI audit layer: evaluates LLM/agent outputs against configurable policies (jailbreak, safety, quality, wallet, trade, MEV compliance) and writes every verdict to a tamper-evident SHA-256 hash chain — metadata only, never raw content. 17 tools including a full crypto-trading compliance suite. Pay-per-call via x402 (USDC on Base), from $0.01. mcp.fronesislabs.com/mcp59GoodAuth: not declaredAgent Security Scanner MCP logoAgent Security Scanner MCPSecurity · Local subprocess (stdio)Security layer for AI agents: blocks prompt injection, detects fake packages, scans vulnerabilities.68GreatAuth: not declared

Verdict: choose Dcl Webhook for security work over a hosted endpoint; choose Agent Security Scanner MCP for security as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Dcl Webhook logoChoose Dcl Webhook when

  • You need dedicated capabilities in the Security domain.
  • You prefer a remote HTTP/SSE transport.
  • You want tools like dcl_evaluate_fast, dcl_evaluate_strict, dcl_evaluate_jailbreak.
Explore Dcl Webhook

Agent Security Scanner MCP logoChoose Agent Security Scanner MCP when

  • You need dedicated capabilities in the Security domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like scan_security, fix_security, record_security_outcome.
Explore Agent Security Scanner MCP

Feature & specification comparison

Rows where the two servers differ are marked.

SpecDcl Webhook logoDcl WebhookAgent Security Scanner MCP logoAgent Security Scanner MCP
CategorySecuritySecurity
Quality signal59/100 · Good68/100 · Great
Install commandConfirmedConfirmed
TransportRemote HTTP/SSELocal subprocess (stdio)
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars1124
Directory activity 0 views 0 installs 0 upvotes 2 views 0 installs 0 upvotes
Tools1823

Tools & capabilities

Dcl Webhook tools 18

  • dcl_evaluate_fastFAST Pre-Action Audit ($0.01). Runs the response through the server's "default" policy: a substring check against 3 forbidden phrases ("ignore previous instructions", "jailbreak", "bypass safety") with a 0.7 minimum-confidence threshold. Each forbidden match found costs 0.4 confidence; if confidence falls below 0.7, or any match is found, the verdict is NO_COMMIT and `reason` lists which phrase triggered it. Otherwise COMMIT. Use this as the default low-cost first-pass gate before a risky agent action; switch to dcl_evaluate_strict for a broader, higher-bar check, or to dcl_evaluate_jailbreak / dcl_evaluate_safety / dcl_evaluate_quality for a narrower, single-topic check instead of the general-purpose default policy.
  • dcl_evaluate_strictSTRICT Pre-Action Audit ($0.05). Runs the response against a broader, higher-bar "strict" policy: the union of all forbidden phrases from the default, anti-jailbreak, and safety policies (8 phrases total), with a 0.85 minimum-confidence threshold instead of the default policy's 0.7. Each matched phrase costs 0.4 confidence; if confidence falls below 0.85, or any phrase matches, the verdict is NO_COMMIT with `reason` listing every match found. Use this instead of dcl_evaluate_fast when the cost of a false COMMIT is high — e.g. before an irreversible or high-stakes agent action — since it catches jailbreak- and safety-adjacent phrasing that the plain default policy would miss.
  • dcl_evaluate_jailbreakPRE-ACTION Instruction Adherence Check ($0.02). Runs the "anti_jailbreak" policy: a substring check against 6 forbidden phrases ("ignore previous instructions", "jailbreak", "bypass safety", "pretend you are", "act as if", "DAN") with a 0.8 minimum-confidence threshold — each match costs 0.4 confidence. Returns COMMIT if no phrase matches and confidence stays at or above 0.8, otherwise NO_COMMIT with `reason` listing the matched phrase(s). Use this as a targeted, cheaper check when the concern is specifically prompt-injection / persona-hijack risk; use dcl_evaluate_strict instead when you also want safety- and default-policy phrases covered in the same call.
  • dcl_evaluate_safetyPRE-ACTION Baseline Safety Check ($0.01). Runs the "safety" policy: flags 2 forbidden disclaimers ("I cannot be held responsible", "no guarantees") and additionally REQUIRES the substring "AI" to appear somewhere in the response — missing it costs 0.2 confidence even with no forbidden phrase present. Minimum confidence is 0.75. Returns NO_COMMIT if confidence drops below 0.75, with `reason` naming the forbidden phrase found or the missing required pattern. Use this when you specifically need to confirm an AI-disclosure marker is present and the two disclaimer phrases are absent — not as a general-purpose safety net; for broader coverage use dcl_evaluate_fast or dcl_evaluate_strict instead.
  • dcl_evaluate_qualityPRE-ACTION Content Quality & Drift Check ($0.03). Runs the "content_quality" policy: flags 12 absolutist or unverifiable-claim phrases (e.g. "guaranteed returns", "100% accurate", "studies show", "without a doubt") with a 0.85 minimum-confidence threshold — the highest bar of any single-policy tool. Returns NO_COMMIT if any phrase matches or confidence falls below 0.85, with `reason` listing the matched phrase(s). Use this to catch overconfident or unsubstantiated claims in generated content — a different concern from jailbreak or safety phrasing — e.g. before publishing agent-written copy or reports.
  • dcl_evaluate_secretsPOST-ACTION Secret & Credential Leak Scan ($0.02). Regex-based scan across 8 categories (API keys, cloud credentials, tokens/JWTs, private keys, DB URLs, connection strings, env assignments, webhook secrets, internal endpoints with auth). Any finding results in NO_COMMIT.
  • dcl_evaluate_piiPOST-ACTION PII Detection Scan ($0.02). Regex-based scan across 8 personal-data categories, with a Luhn checksum on card numbers to reduce false positives. Any finding results in NO_COMMIT.
  • dcl_evaluate_batchPRE-ACTION Bulk Processing ($0.10). Evaluates a list of items in one call; each item is a dict shaped {"response": str, "policy"?: str}, where policy defaults to "default" if omitted and may be any built-in policy name (default, strict, anti_jailbreak, safety, content_quality). Each item gets its own independent COMMIT/NO_COMMIT verdict via the same logic as the matching single-item evaluate_* tool; results are returned in input order under `results`, plus a shared `batch_id`. Capped at 200 items per call — oversized batches are rejected. Use this instead of multiple single-item evaluate_* calls when checking several responses — optionally against different policies — in one priced call rather than paying per item separately.
  • dcl_pipeline_startSESSION Management ($0.05). Generates a new `pipeline_id` and returns session metadata (scope, expiry, initial drift_mode) for organizing a series of related checks under one identifier. Note: this call does not currently link the returned pipeline_id to later evaluate_* calls — there is no server-side session state that ties subsequent audits back to it; it is an identifier/timestamp issuer, not an active tracking session. Use this to obtain a shared reference ID for your own client-side grouping of a multi-step audit sequence; do not rely on it to automatically aggregate drift across calls.
  • dcl_audit_decodePOST-ACTION Basic Audit ($0.10). Retrieves a record from the tamper-evident chain by tx_hash.
  • dcl_audit_decode_deepPOST-ACTION Deep Forensic Audit ($0.50). Extended output with drift_context and full chain integrity verification.
  • dcl_evaluate_jailbreak_cryptoPRE-ACTION Crypto Jailbreak & Injection Detection ($0.02). Crypto-specialized instruction-override/jailbreak/injection screen: standard role-switch and instruction-override patterns, plus crypto-specific drain-wallet injection (e.g. "transfer all funds to...", fake "test transaction" requesting full balance) and unlimited-approval injection (e.g. type(uint256).max, "approve unlimited allowance", skip-slippage-confirmation framing). Any match returns NO_COMMIT with `reason` and `findings` naming the matched category/categories; run this FIRST in the DCL crypto pipeline, before wallet/trade/MEV checks, since it screens the input itself rather than a decision built on top of it.
  • +6 more on the listing page

Agent Security Scanner MCP tools 23

  • scan_securityScan a file for security vulnerabilities. Use verbosity='minimal' for counts only (~50 tokens), 'compact' (default) for actionable info (~200 tokens), 'full' for complete metadata.
  • fix_securityScan a file and return fixes. Use verbosity='minimal' for summary only, 'compact' (default) for fix list, 'full' for complete fixed file content.
  • record_security_outcomeRecord aggregate remediation outcomes after reviewing scanner findings. Sends counts only; never sends code, findings, paths, or rule IDs.
  • list_security_rulesList all available security fix templates and their descriptions
  • check_packageCheck if a package name is legitimate or potentially hallucinated (AI-invented)
  • scan_packagesScan code for package imports and check for hallucinated (AI-invented) packages. Use verbosity='minimal' for counts, 'compact' (default) for flagged packages, 'full' for all details.
  • list_package_statsList statistics about loaded package lists for hallucination detection
  • scan_agent_promptScan a prompt for malicious intent. Returns BLOCK/WARN/LOG/ALLOW. Use verbosity='minimal' for action only, 'compact' (default) for findings, 'full' for audit details.
  • scan_git_diffScan git diff for new security vulnerabilities. Only reports issues on changed lines. Use for PR reviews.
  • scan_projectScan an entire directory for security vulnerabilities with .gitignore support and security grading. Use verbosity='minimal' for grade + counts, 'compact' (default) for top issues, 'full' for all details.
  • scan_agent_actionPre-execution security check for agent actions (bash, file_write, file_read, http_request, file_delete, cron, process_spawn, git, docker). Returns ALLOW/WARN/BLOCK.
  • scan_mcp_serverScan an MCP server's source code for security vulnerabilities: overly broad permissions, missing input validation, data exfiltration, insecure patterns. Returns grade (A-F) and recommendations.
  • +11 more on the listing page

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Dcl Webhook

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "fronesis-labs-dcl-webhook": {
      "url": "https://mcp.fronesislabs.com/mcp"
    }
  }
}

Agent Security Scanner MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "agent-security-scanner-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "agent-security-scanner-mcp"
      ]
    }
  }
}

Frequently asked questions

Dcl Webhook is categorized under Security and uses a remote HTTP/SSE transport. Agent Security Scanner MCP belongs to Security and uses a local stdio subprocess. Pick Dcl Webhook for security work and Agent Security Scanner MCP for security.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Dcl Webhook has no declared pricing — check the project's own site. Agent Security Scanner MCP has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add fronesis-labs-dcl-webhook and agent-security-scanner-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Dcl Webhook has a quality signal of 59/100 (Good) with 0 views, 0 installs and 1 GitHub stars. Agent Security Scanner MCP has 68/100 (Great) with 2 views, 0 installs and 124 GitHub stars.