"A tool for parsing tables and analyzing data" matching MCP tools:

• extract_tables_from_html

  Htmlpdf Transform Mcp

  Extract all tables from HTML as structured data. Returns: {tables: [{headers, rows, row_count}]}

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• minia2a_markdown_table

  minia2a — x402 Agent Services Marketplace

  Generate markdown tables. — $0.0010 USDC on Base

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• get_trainings

  STAS Running Coach for Claude

  Load recent workouts with pace, heart rate, sport metrics, intervals, and athlete reports. Use after the summary when analyzing load, progress, fatigue, or consistency.

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• compare_repos

  github-mcp-server

  Compare multiple GitHub repositories side-by-side with key metrics. Returns star counts, fork counts, issues, primary language, and comparative analysis for each repository. Use for choosing between similar projects or analyzing competitive landscape.

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• template_install

  Runik AI

  Install a business template with tables, views, relations and sample data

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• terminology_diff

  Medical Terminologies MCP

  Report what diff data is available between two versions of a terminology. For most terminologies this is **guidance only** — the server doesn't ship historical snapshots, so the tool points at the publisher's official changelog and explains the cadence. `bundled_versions` lists the version(s) this server actually has on hand. For **ICD-10 vs ICD-11** specifically, the tool surfaces a real cross-revision summary from the bundled WHO transition tables (the ICD-10 → ICD-11 case is a structural diff between two WHO revisions). Use `terminology: "icd10"` with no `to_version` to get the cross-revision summary: total mapped ICD-10 categories, how many are 1:1 vs split into multiple ICD-11 codes, and the average number of alternatives when split. Inputs: - `terminology` (required): which terminology to report on. - `from_version` (optional): the version you have data from. If omitted, the tool reports against the currently-bundled version. - `to_version` (optional): the version you want to compare to. If omitted, the tool reports against the publisher's latest known release. This tool is intentionally a metadata + guidance layer, not a diff engine — for terminologies that change frequently (SNOMED, LOINC, RxNorm, MeSH), the publisher's official changelog is the authoritative source.

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• subjects

  Statbank Md

  Navigate the database/subject tree. Root (empty path) lists databases ({dbid}). Drill into a database id to get folders (type "l") and tables (type "t", ".px" suffix).

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• rba_series

  Rba

  Fetch any RBA statistical series by table id + series id — escape hatch for the full RBA statistical-tables catalog (CPI is g1, monetary aggregates d3, etc.). Returns recent observations. Use rba_cash_rate / rba_exchange_rates for the common ones. Browse tables at rba.gov.au/statistics/tables.

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• portal_get_network_info

  SQD Portal

  Answer "is this network caught up?" with indexing freshness, lag, heads, and available tables. COMMON USER ASKS: - Is Base caught up? FIRST CHOICE FOR: - checking indexing head, lag, tables, and capabilities for one network WHEN TO USE: - You want to know whether a network is indexed, fresh, caught up, or behind before querying. - You need chain family, real-time status, or available tables for a network. DON'T USE: - You only need the latest block or slot number. EXAMPLES: - Is Base caught up?: {"network":"base-mainnet"}

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• get_employer_h1b_wages

  Stratalize Intelligence

  Use when analyzing an employer H-1B compensation strategy or benchmarking tech sector wages against DOL prevailing wage data. Returns prevailing wage statistics, certified job titles, wage levels, and state distribution from DOL LCA filings. Example: Google H-1B — software engineer Level IV prevailing wage $195K, 1,243 certified positions in 2023 — concentrated in Mountain View and New York City offices. Source: DOL Labor Condition Application public data.

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• bond_covenant_monitor

  gapup-mcp

  As a CFO, monitor bond covenant compliance by analyzing leverage ratios (debt-to-equity, debt-to-EBITDA) and interest coverage ratios using real-time financial data. Input a company's ticker symbol and optional covenant thresholds to receive compliance status, key financial metrics, and SEC filing references. Ideal for proactive debt management and regulatory compliance tracking. Keywords: bond covenants, leverage ratio, interest coverage, debt compliance, SEC filings, financial health.

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• brand_equity_voice_share_calculator

  gapup-mcp

  Calculates brand equity voice share for CMOs by analyzing mentions across 500K+ news articles and forums from Common Crawl and Wayback Machine. Inputs include brand name, competitors, and time range. Outputs voice share percentage, sentiment distribution, and top sources. Ideal for competitive benchmarking and brand visibility tracking. Pass async:true to avoid timeout.

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• content_evergreen_score_analyzer

  gapup-mcp

  Evaluates content evergreen potential for CMOs by analyzing historical traffic patterns and backlink authority. Takes a content URL and optional time range, returns an evergreen score (0-100), traffic trend analysis, and backlink profile. Ideal for content strategy planning, SEO optimization, and identifying high-value evergreen assets. Uses Wayback Machine and Common Crawl public APIs.

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• lnd_ai_skill_forecast

  gapup-mcp

  Forecasts AI skill demand trends for CHROs by analyzing patent filings (USPTO PatFT) and job postings (BLS API). Returns 12-month skill demand projections with confidence scores, helping HR leaders prioritize workforce upskilling. Inputs: target AI skills (e.g., 'machine learning', 'NLP'), geographic focus (US state/country), and forecast horizon. Outputs include skill growth rates, patent filing trends, and job posting volumes. Keywords: AI workforce planning, skill gap analysis, talent strategy, patent trends, labor market data.

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• sre_slo_breach_predictor

  gapup-mcp

  As a CTO, predict potential SLO breaches 24 hours in advance by analyzing public incident reports and MITRE ATT&CK techniques. Input your service's critical components and reliability thresholds to receive breach probability scores, top contributing TTPs, and recommended mitigations. Uses MITRE ATT&CK, GitHub Advisories, and Cloudflare Radar data. Pass async:true to avoid timeout.

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• talent_litigation_exposure

  gapup-mcp

  Estimates litigation exposure risk for CHROs by analyzing past employee lawsuits, settlement amounts, and industry benchmarks. Inputs include company location, industry code, and employee count range. Returns exposure score, average settlement amounts, lawsuit frequency trends, and risk factors. Ideal for legal risk assessment, HR strategy planning, and board-level reporting. Pass async:true to avoid timeout.

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• trade_finance_eligibility

  gapup-mcp

  Evaluates trade finance eligibility for CFOs by analyzing counterparty risk and jurisdiction using World Bank and BIS data. Inputs include counterparty country code (ISO 3166-1 alpha-3) and industry sector. Returns risk scores, eligibility flags, and financing terms. Ideal for assessing letters of credit, export credit agency guarantees, and other trade finance instruments. Keywords: trade finance, counterparty risk, jurisdiction risk, letters of credit, ECA guarantees.

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• bias_amplification_tracker

  gapup-mcp

  Tracks bias amplification in LLM outputs by analyzing fairness metrics from HuggingFace's model leaderboard. Designed for risk assessment personas to detect and quantify demographic, gender, or racial bias amplification in generated text. Accepts model identifiers or output samples, returns structured bias metrics and amplification trends.

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• jailbreak_attempt_detector

  gapup-mcp

  Detects potential LLM jailbreak attempts by analyzing user input against NIST AI Risk Management Framework adversarial patterns. Designed for persona risk assessment, this tool evaluates text for common jailbreak techniques such as prompt injection, role-playing, or obfuscation. Inputs include the user message and optional context, returning a risk assessment with confidence scores and pattern matches. Ideal for real-time moderation in chat applications or API gateways.

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• retail_media_attribution_bridge

  gapup-mcp

  Provides unified attribution insights for retail media and programmatic campaigns by analyzing MMM signals from FreeWheel Marketplace and Common Crawl. Designed for ad revenue operations teams to bridge cross-channel performance gaps. Accepts campaign IDs, date ranges, and channel filters as input. Returns structured attribution data with source provenance and confidence scores.

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