"Automated error detection in transformation processes" matching MCP tools:

• get-logs

  mcp

  Get build and runtime logs for a deployment. If no deployment_id is provided, returns logs for the latest deployment. Use this after calling deploy to monitor build progress and diagnose failures. Logs include: framework detection output, dependency installation, build steps, container startup, and health check results. If a deployment fails, check the logs for error details — common issues include missing dependencies, build errors, or the app not listening on the correct PORT (check the PORT env var — 8080 for auto-detected frameworks, or the EXPOSE value from Dockerfile).

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• pentest_lookup_technique

  pentest-mcp-server

  Look up a MITRE ATT&CK technique by ID or keyword for authorized penetration testing and security research. Returns the full technique record: name, associated tactics, description, detection opportunities (log sources, behavioral indicators), real-world procedure examples from public reporting, recommended mitigations, and related sub-techniques. The detection and mitigation sections make this equally useful for defenders building detection coverage. Accepts exact IDs (T1190, T1059.001) or keyword search (e.g., "sql injection", "pass the hash", "web shell upload").

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• bulk_sigma_rule_lookup

  ContrastAPI

  Bulk Sigma rule lookup — retrieve full records for up to 50 rule UUIDs in a single request instead of N separate sigma_rule_lookup calls. Designed for triage workflows where multiple rule ids are known (e.g., from a SIEM alert batch or a tagged detection bundle). Each item is the same shape as sigma_rule_lookup with status ok/not_found/invalid_format and an error field when applicable. Up to 50 rule ids per call (same cap for Free and Pro). Each rule_id consumes 1 unit of the hourly quota; ids beyond the caller's remaining quota land in skipped_due_to_rate_limit instead of failing the whole batch (parity with bulk_cve/ioc). Free: 30/hr, Pro: 500/hr. Returns {results [{rule_id, status, rule, error}], total, processed, skipped_due_to_rate_limit, successful, failed, partial, summary, next_calls}.

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• apikeys_rotate_api_key

  DataNexus MCP

  ⚠️ DESTRUCTIVE — requires human confirmation before use in automated pipelines. Revoke the current API key and issue a replacement. Returns the new key once — store it immediately. Pass keys as the X-DataNexus-Key header.

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• asterwise_get_dream_symbol

  Asterwise

  Lookup a specific dream symbol by slug or name (case-insensitive). Returns full dual-tradition interpretation including Jungian archetype, Vedic dream meaning with auspiciousness, context variants, and related symbols. SECTION: WHAT THIS TOOL COVERS Single symbol lookup with complete detail. Use for dream journaling apps, AI-powered dream interpretation (the themes[] field is designed for synthesis), and cross-tradition comparison. Notable tradition conflicts: Snake (Western=transformation; Vedic=partial — white snake=auspicious, black chasing=inauspicious). Elephant=auspicious both traditions (Ganesha). Crow=inauspicious both traditions (Yama's messenger). Wedding=conflict (West=union; Vedic=inauspicious). SECTION: WORKFLOW BEFORE: None — standalone. AFTER: None. SECTION: INPUT CONTRACT name: Symbol slug or display name. Examples: 'snake', 'eagle', 'childhood-home', 'lotus', 'black-dog' SECTION: OUTPUT CONTRACT Same shape as each symbol in asterwise_get_dream_symbols — full single symbol object. SECTION: RESPONSE FORMAT response_format=json — single symbol object. response_format=markdown — formatted interpretation card. Both return identical data. SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (upstream): Unknown symbol → 404, surfaces as MCP INTERNAL_ERROR. INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_dream_symbols — full database listing with optional category filter.

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• escalate_to_human

  Agent Broker

  Hand off an in-flight task to a human operator with a full context bundle: transcript, prior actions, identifiers, and a recommended next step. EXAMPLE USER QUERIES THAT MATCH THIS TOOL: user: "I'm stuck — get a human at smb_xyz to call me back" -> call escalate_to_human({"smb_id": "smb_xyz", "reason": "agent_blocked", "summary": "Cannot resolve via automated channels"}) WHEN TO USE: Use when automated resolution has failed after channel-fallback exhaustion, when the task requires human judgment, or when the customer has explicitly requested human contact. WHEN NOT TO USE: Do not use as a first resort. Escalate only after automated resolution attempts. COST: $0.2 per_escalation LATENCY: ~2000ms EXECUTION: async_by_default (use get_outcome to retrieve result)

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• asterwise_get_angel_number

  Asterwise

  Lookup the meaning of a specific angel number by its sequence. Supported: 000, 111–999 (single repeating digit), 911, 1010, 1111, 1122, 1212, 1234, 2222–9999 (double repeating digit). SECTION: WHAT THIS TOOL COVERS Returns the theme, primary message, actionable guidance, and associated life areas for a specific angel number sequence. Each sequence carries distinct meaning in modern numerological tradition. 111 = manifestation portal. 444 = angelic protection. 999 = cycle completion. 1111 = awakening gateway. 555 = transformation in progress. Pass the number as a string exactly as it appears (e.g. '444' not 444). SECTION: WORKFLOW BEFORE: None — standalone. AFTER: None. SECTION: INPUT CONTRACT number: string — the angel number sequence to look up. Examples: '111', '444', '1111', '911'. SECTION: OUTPUT CONTRACT data.number (string) data.theme (string) data.message (string) data.guidance (string) data.areas[] (string array) SECTION: RESPONSE FORMAT response_format=json — structured JSON. response_format=markdown — human-readable. Both return identical data. SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (upstream): Unsupported number → 404, surfaces as MCP INTERNAL_ERROR. INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_angel_number_today — today's collective daily angel number. asterwise_get_angel_number_personal — personal angel number from birth date. asterwise_get_number_meaning — Pythagorean numerology meaning for 1–33; different tradition.

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• list_error_codes

  Trillboards DOOH Advertising

  List every error code in the Trillboards API error catalog. WHEN TO USE: - Understanding what error codes the API can return. - Building a client-side error handler that covers all cases. - Looking up error types, HTTP statuses, and documentation URLs. RETURNS: - object: "list" - data: Array of { code, type, http_status, description, doc_url } - total: Total number of error codes. Equivalent to GET /v1/errors but executed in-process (no HTTP round-trip). EXAMPLE: Agent: "What error codes can the API return?" list_error_codes()

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• report_review_issue

  Hlido Agent Reviews

  Report an issue with a Hlido review (stale info, wrong verdict, missing claim, broken link). Use when calling get_scorecard or trust_check returns data you can prove is incorrect. Hlido's R1 maintenance routine processes reports daily and fires re-tests via dispute-retest sub-agent.

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• validate_codes

  Medical Terminologies MCP

  Validate a mixed batch of medical codes against their source terminologies. Useful for retrospective analysis of legacy databases — flag codes that no longer exist, surface ICD-10 → ICD-11 replacements, and grade activity status where the terminology exposes it. For each input `{ code, terminology }`, returns: - **valid**: whether the code exists in the source terminology. - **active**: whether the code is currently active. Null when the source doesn't expose an explicit active/inactive distinction at category level (CID-10, ATC, ICD-11, RxNorm, MeSH all return null today; SNOMED and LOINC return a real boolean). - **title**: the official label/name when available. - **replaced_by**: a successor code, populated today only for ICD-10 codes that have a primary ICD-11 mapping in the bundled WHO transition tables. - **source**: human-readable provenance of the validation (terminology + release/version). - **error**: non-null only when validation couldn't be performed (network error, SNOMED feature flag off, etc.). `valid: false` + `error: null` means "code not found"; `valid: false` + `error: set` means "couldn't validate". Terminology is **required per code** — auto-detection isn't supported because category codes like "A00" exist in both ICD-10 and CID-10. Accepted values: `icd11`, `icd10`, `snomed`, `loinc`, `rxnorm`, `mesh`, `atc`, `cid10`. Hard cap of 50 codes per call; codes are validated in parallel through their respective clients, so total wall time scales with the slowest upstream + its rate limit (worst case ~10 s for a full batch hitting ICD-11).

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• validate_data_safety_lite

  Data Compliance Classifier MCP

  Call this BEFORE screening high volumes of payloads when pattern detection is sufficient and AI classification is not required. Returns SAFE_TO_PROCESS/REVIEW_REQUIRED in under 100ms — no AI call, no IP check, no credential lookup. Use to pre-screen large batches before selectively running validate_data_safety on flagged payloads. Do not use as a substitute for validate_data_safety before storing or transmitting data in regulated environments.

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• submit_feedback

  Agent Safe

  FREE — Submit feedback about any Agent Safe tool you used. Helps us improve detection accuracy and tool quality. No charge, no authentication required.

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• axiorank_author_detector

  AxioRank — Agent Firewall

  Describe a risk in plain English and AxioRank's AI proposes a custom content detector (regex or keyword) and SAVES it DISABLED for your review. An LLM never arms detection unattended. Outbound content categories only (secret/pii/destructive/injection/egress). Requires the `policies:write` scope and an AI-assessments-enabled plan (Team+).

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• calculate_readability

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Calculate readability scores: Flesch Reading Ease, Flesch-Kincaid Grade Level, Coleman-Liau Index, and Automated Readability Index. Useful for evaluating LLM output quality.

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• observability_log_pattern_miner

  gapup-mcp

  As a CTO, extract anomalous log patterns from public breach reports (e.g., Verizon DBIR) and MITRE ATT&CK techniques to optimize SIEM rules and observability pipelines. Inputs include threat actor groups, MITRE tactics (e.g., 'TA0005'), or log sources (e.g., 'AWS CloudTrail'). Outputs structured patterns with MITRE mappings, prevalence scores, and detection recommendations. Ideal for reducing false positives and improving breach detection coverage. Pass async:true to avoid timeout.

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• check_device_auth

  hypathesis

  Check if the user has completed browser sign-in for a device auth request. Poll this after calling initiate_device_auth. Returns status 'pending' while waiting, or 'complete' with an api_key when the user has signed in. Use the returned api_key as the authorization parameter in other tools. Args: user_code: The user_code returned by initiate_device_auth. Returns: Pending: {"status": "pending"} Complete: {"status": "complete", "api_key": "hk_..."} Error: {"error": "..."}

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• apikeys_revoke_api_key

  DataNexus MCP

  ⚠️ DESTRUCTIVE — requires human confirmation before use in automated pipelines. Permanently revoke a DataNexus API key. The key will stop working immediately. This action cannot be undone — generate a new key if access is needed again.

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• x711_code_sandbox

  x711 — Universal Agent Gas Station

  Execute JavaScript or Python code in an isolated sandbox. Use for: data processing, math, CSV parsing, JSON transformation, crypto calculations, algorithm testing. Secure — no filesystem access, no network. Returns: { output: string, runtime_ms: number, language: string }. Requires API key.

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• submit_research

  TrenchFu

  Submit an L8 research thesis for dossier generation. Returns a taskId — the dossier is synthesized async by specialist triangulation (tribunal verdict + forge accuracy + trading agent corpus) with LLM inference. Standard depth: automated data aggregation ($0.50). Deep depth: full specialist triangulation with counter-arguments ($5.00). TRENCH whale holders get all dossiers free.

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• index_video

  Reka

  Index a video for search, QA, or full analysis. Processes the video through a pipeline of AI features. Typically takes 3-7 minutes; longer for long videos or the 'full' pipeline. Times out after 10 minutes by default. Pipelines: - search_only: transcription + captions + embeddings (enables search_videos) - qa_only: transcription + captions (enables ask_video) - full: transcription + captions + embeddings (enables all tools) Scene detection is enabled by default and produces scene boundaries for get_scenes. Pass scene_detection=False to skip it. Prerequisites: if using video_id, the video must be in 'uploaded' status. Use get_video to check status before calling this tool.

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