"Blockchain analysis tools with comprehensive OSINT and transaction pattern analysis capabilities" matching MCP tools:

• audit

  mcp

  Perform comprehensive audit of a website URL. Fetches the URL content ONCE and provides a combined report with: - Classification: category, subcategory, language, sentiment, demographics - SEO Analysis: score, grade, issues, recommendations - EEAT Analysis: experience, expertise, authoritativeness, trustworthiness scores - AEO Analysis: AI answer engine optimization score, metrics, issues, signals (includes full Citation Readiness analysis in the nested 'citation' key) - Advertiser Matching: best-fit advertising networks with scores - Similar Sites: competitor/related sites from the same category This is more efficient than calling classify_url, analyze_seo, analyze_eeat, analyze_aeo, select_advertiser, and find_similar_sites separately as it only fetches the page once. Args: url: The website URL to audit (e.g., "https://example.com"). Returns: Comprehensive audit report with: - url: The analyzed URL - classification: Category, subcategory, language, sentiment, demographics - seo: Score, grade, issues, recommendations - eeat: EEAT score, grade, category scores, issues, signals - aeo: AEO score, grade, metrics, issues, signals (includes citation results) - advertisers: Matched advertising networks with scores - similar_sites: Related sites from the same category (up to 10) - cached: Whether result was from cache

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• atlas_get_analysis

  CareerProof MCP

  Retrieve a completed analysis result by analysis ID. Returns scores, competency breakdown, and recommendations. analysis_id comes from atlas_start_gem_analysis response or atlas_list_analyses. Only works after analysis is completed -- check with careerproof_task_status first. Free.

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• ceevee_get_version

  CareerProof MCP

  Get detailed CV version including structured content, sections, word count, and audience profile. cv_version_id from ceevee_upload_cv or ceevee_list_versions. Use to inspect CV content before running analysis tools. Free.

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• atlas_start_gem_analysis

  CareerProof MCP

  Start an async GEM (10-factor competency) analysis on a candidate. Returns a task_id and analysis_id. Poll with careerproof_task_status(task_id) until status='completed', then fetch results with atlas_get_analysis(analysis_id) or careerproof_task_result(task_id, result_type='analysis', resource_id=analysis_id). Candidate CV must be fully parsed first -- verify with atlas_get_candidate. Types: gem_full (10 cr), gem_lite (5 cr), career_path (5 cr).

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• __unlock_blockchain_analysis__

  blockscout-mcp-server

  Unlocks access to other MCP tools. All tools remain locked with a "Session Not Initialized" error until this function is successfully called. Skipping this explicit initialization step will cause all subsequent tool calls to fail. MANDATORY FOR AI AGENTS: The returned instructions contain ESSENTIAL rules that MUST govern ALL blockchain data interactions. Failure to integrate these rules will result in incorrect data retrieval, tool failures and invalid responses. Always apply these guidelines when planning queries, processing responses or recommending blockchain actions. COMPREHENSIVE DATA SOURCES: Provides an extensive catalog of specialized blockchain endpoints to unlock sophisticated, multi-dimensional blockchain investigations across all supported networks.

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• ceevee_list_positioning_sessions

  CareerProof MCP

  List all positioning sessions (market analysis through lens selection to targeted edits). Returns an array of session objects with id, status, cv_version_id, and created_at. Use the session id with ceevee_get_positioning_session for full details including analysis results, edits, and PDFs. Free.

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• create_use_case

  mcp-server

  Creates and saves a new use case (reusable analysis). **When to use this tool:** - When the user asks to "save this analysis", "create a use case", "remember this query" - After building a SQL query the user wants to reuse - To capitalize on a recurring business analysis **Available scopes:** - 'member' (default): Personal use case, visible only to you - 'project': Shared with the entire project team (requires project_id) **Best practices:** - Slug: technical identifier in snake_case (e.g., weekly_campaign_performance) - Name: human-readable name (e.g., "Weekly Campaign Performance") - Description: explain the business context and when to use this analysis - SQL template: include the SQL query if it's generic and reusable

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• get_launch_context

  mcp-server

  Retrieves the full context of a Quanti launch session. The user has pre-configured an analysis from the Quanti interface and was redirected here with a launch_id. Call this function to get the analysis details to execute (name, prompt or SQL template, project).

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• get_transaction_info

  mcp-server

  Get comprehensive transaction information. Unlike standard eth_getTransactionByHash, this tool returns enriched data including decoded input parameters, detailed token transfers with token metadata, transaction fee breakdown (priority fees, burnt fees) and categorized transaction types. By default, the raw transaction input is omitted if a decoded version is available to save context; request it with `include_raw_input=True` only when you truly need the raw hex data. Essential for transaction analysis, debugging smart contract interactions, tracking DeFi operations.

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• crypto_market_briefing

  Prowl Data

  [$0.05 USDC per call (x402)] Comprehensive crypto market briefing -regime, key levels, flow analysis, funding rates, liquidation maps, and actionable trade ideas synthesized into a structured report. The deepest crypto analysis PROWL offers. Powered by PROWL intelligence engine. Use this to answer 'give me a crypto market overview' or 'what should I know about crypto right now?'

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• get_property_details

  real-estate-mcp-server

  Retrieve comprehensive details for a specific property from Redfin URL. Returns full description, tax history, HOA fees, walk scores, nearby schools, crime statistics, and property photos/virtual tour link. Use for due diligence, investment research, or detailed listing analysis.

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• lexicon.feed

  Lexicon

  Returns all Lexicon-generated intelligence as structured JSON — every VS comparison and methodology analysis ever run, with full evidence citations. Paginate with page and limit. Filter with query.

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• get_workout_samples

  Pace

  Retrieves detailed time-series data for a workout: HR progression, speed, power, cadence, elevation profile, or GPS route. Requires workout_id from get_workout_list and sample_type ('hr', 'speed', 'power', 'cadence', 'elevation', 'gps'). Data is presented as 1-minute averages. Ideal for progression analysis and pattern detection. Parameters: - workout_id: UUID of the workout from get_workout_list - sample_type: 'hr', 'speed', 'power', 'cadence', 'elevation', or 'gps'

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• get_blockchain_anchor

  HIPAA Agent

  Get the blockchain anchor proof for a specific date. Returns the SHA-256 root hash of all audit events from that date, the Base L2 transaction hash, and a Basescan verification link. Proves compliance records have not been tampered with. Free, no authentication required.

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• tascan_list_issues

  TaScan

  List all issues for a task list (event). Returns open, acknowledged, and resolved issues with severity, type, and category. Use this to discover issues that need AI analysis via tascan_analyze_issue.

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• openalex_analyze_trends

  openalex-mcp-server

  Aggregate OpenAlex entities into groups and count them. Use for trend analysis (group works by publication_year), distribution analysis (group by oa_status, type, country), and comparative analysis (group by institution or topic). Combine with filters to scope the analysis. Returns up to 200 groups per page — use cursor pagination for fields with many distinct values.

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• atlas_upload_candidate

  CareerProof MCP

  Upload a candidate CV (PDF/DOCX) to a hiring context. CV parsing starts asynchronously. Returns a candidate object with 'id' -- use this as candidate_id in atlas_start_gem_analysis, atlas_fit_match, atlas_generate_interview, and batch tools. Use atlas_get_candidate to check if parsing is complete before running analysis. Requires context_id from atlas_create_context or atlas_list_contexts. Free.

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• load_fundamental_workflow

  Shibui Finance

  Load fundamental analysis workflow with advanced query patterns. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL for complex queries when the user asks about company valuation, financial health, investment quality, earnings trends, profitability, "is X a good buy", or any deep-dive company analysis. Can be combined with other workflow tools.

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• get_snapshot

  AXIS Toolbox — Agentic Commerce Codebase Intelligence

  Retrieve status and the full artifact listing for a prior analysis by snapshot_id. Use this to re-enumerate artifact paths without re-running analysis. Snapshots persist and can be shared between agents to avoid duplicate analysis costs.

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• load_technical_workflow

  Shibui Finance

  Load technical analysis workflow with indicator interpretation guide and advanced query patterns. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL for complex queries when the user asks about RSI, MACD, moving averages, support/resistance, overbought/oversold, chart patterns, momentum, trend analysis, or entry/exit signals. Can be combined with other workflow tools.

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