"University Management Accreditations and Rankings Analysis" matching MCP tools:

• faostat_dataframe_query

  faostat-mcp-server

  Run a single-statement SELECT against the canvas tables staged by faostat_query_observations and faostat_commodity_profile (table names look like faostat_xxxxxxxx). Use this for cross-country and cross-item aggregation, GROUP BY rankings, joins, and time-series analysis over the full result set the inline preview only sampled. Standard DuckDB SQL — joins, aggregates, window functions, CTEs all work. Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, and external-file table functions are rejected; system catalogs (information_schema, sqlite_master, duckdb_*) are denied — list staged tables via faostat_dataframe_describe. Every row carries its data-quality `flag` (A=Official, E=Estimated, I=Imputed, …) — keep it in projections and honor it in interpretation.

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• google_rank_tracking

  Searchapi

  Get Google organic search results for SEO rank tracking. Returns up to 100 results per request with position, title, URL, and snippet. Ideal for monitoring keyword rankings and SERP analysis.

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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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• malware_get_template

  website-search

  Get Lenny Zeltser's malware analysis report template. The report covers Executive Summary, Sample Snapshot, Malware Family Identification, Component Inventory, Runtime Requirements, Sources, Capabilities, Indicators of Compromise, Analysis Details, What We Don't Know, optional Infection Vector, optional Detection Engineering, About this Report, Appendix: Analysis Environment, and optional Appendix: Analysis Scripts. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.

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• get_coverage

  VouchedPros

  Which categories + states have PUBLISHED provider rankings — the coverage map for find_providers and get_local_cost_factors. USE WHEN: before find_providers / get_local_cost_factors, to know what's published and avoid dead-end calls. Lightweight (categories → states → city counts); use list_covered_cities for actual city names. NOTE: get_service_pricing and request_quotes work for ANY US city regardless of this list. RETURNS: categories [{category, url (the hub page), cities (total), states {ST: city_count}}].

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• fdic_peer_group_analysis

  FDIC BankFind MCP Server

  Build a peer group for an FDIC-insured institution and rank it against peers on financial and efficiency metrics at a single report date. Three usage modes: - Subject-driven: provide cert and repdte — auto-derives peer criteria from the subject's asset size and charter class - Explicit criteria: provide repdte plus asset_min/asset_max, charter_classes, state, or raw_filter - Subject with overrides: provide cert plus explicit criteria to override auto-derived defaults Metrics ranked (fixed order): - Total Assets, Total Deposits, ROA, ROE, Net Interest Margin - Equity Capital Ratio, Efficiency Ratio, Loan-to-Deposit Ratio - Deposits-to-Assets Ratio, Non-Interest Income Share Rankings use competition rank (1, 2, 2, 4). Rank, denominator, and percentile all use the same comparison set: matched peers plus the subject institution. Output includes: - Subject rankings and percentiles (when cert provided) - Peer group medians - Peer list with CERTs (pass to fdic_compare_bank_snapshots for trend analysis) - Metric definitions with directionality metadata Override precedence: cert derives defaults, then explicit params override them.

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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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• compare_svi

  CDC Social Vulnerability Index

  Compare SVI data across multiple counties. Returns side-by-side SVI percentile rankings and key indicators for the specified counties. Useful for comparing vulnerability across service areas or peer counties. Args: fips_codes: Comma-separated 5-digit county FIPS codes (e.g. '53033,53053,53061'). year: SVI data year (default 2022, currently only 2022 available).

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• list_api_reference_pages

  docs-mcp

  List pages in Redpanda API reference documentation. Returns endpoints, schemas, and topic pages with URL, title, type, and description. SCOPING (important for accurate results): - api="all" or omit: Lists all available APIs - api="admin": Cluster management operations (brokers, partitions, configs, users) - api="cloud-controlplane": Redpanda Cloud resource management (clusters, networks, namespaces) - api="cloud-dataplane": Cloud cluster data operations (topics, ACLs, connectors) - api="http-proxy": Kafka operations over HTTP (produce, consume, offsets) - api="schema-registry": Schema management (register, retrieve, compatibility) Use this to browse API structure. For general Redpanda docs, use ask_redpanda_question instead.

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• get_buying_guide

  product-intelligence

  Get an editorially written buying guide from SmartHomeExplorer's library of 170+ guides. Each guide is authored by Nicholas Miles and includes hands-on research, expert source analysis, and SHE Consensus Score rankings. Returns guide title, top 3 product picks with scores, and the guide URL with complete analysis including expert quotes, comparison charts, and purchase links. Guides are updated regularly with current pricing and availability. Methodology at smarthomeexplorer.com/she-score-methodology.

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• search_funder_jobs

  foundation-discovery

  Search OPEN PHILANTHROPY JOBS at grantmaking foundations. Surfaces roles involved in giving away money, running philanthropic programs, or executive leadership of philanthropic work. Backed by a weekly scrape of ~50K funder careers pages + GPT-5.4-mini classification against an 8-category taxonomy. Categories (use the `category` param to filter): - grantmaking: Program officers, grants managers, RFP reviewers - program_leadership: VP Programs, Chief Program Officer, Program Director (cause-area) - executive_leadership: CEO, President, Executive Director at a foundation or community foundation - philanthropy_operations: Foundation finance/HR/IT/COO - program_support: Program associates, M&E officers, learning officers, program coordinators - development_for_grantmaking: Major gifts officers and development roles at community foundations and other regranting entities (NOT university or hospital development for the parent's operations) - philanthropy_communications: Foundation comms staff - philanthropy_strategy: Chief Strategy Officer, impact officer, equity & inclusion at a foundation What's excluded by design: clinical/medical, retail, academic teaching, university advancement for the university itself, hospital fundraising for hospital ops, construction/facilities.

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• google_ads_render_search_terms_analysis

  paid-ads

  Preferred user-facing Google Ads search-terms analysis tool. Renders the search-terms analysis dashboard and can either take analysisPayload from google_ads_analyze_search_terms or fetch the analysis directly when called with search-term-analysis arguments.

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• dpx.metrics

  DPX — Institutional Cross-Border Settlement

  Live performance metrics for the DPX settlement infrastructure — pulled directly from production telemetry. Returns request volumes, error rates, growth trends, per-service breakdown, and spike analysis across all active DPX workers. Free — designed for investor due diligence, analyst queries, and Standard Metrics / portfolio management integrations. No auth required.

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• ibge_nomes

  IBGE Brasil MCP

  Queries name frequency and rankings in Brazil (IBGE). Features: 1. **Name frequency** (tipo='frequencia'): - Birth frequency by decade - Multiple names separated by comma - Filter by sex and locality 2. **Name ranking** (tipo='ranking'): - Most popular names - Filter by decade, sex, and locality Available decades: 1930-2010 Examples: - Frequency of "Maria": tipo="frequencia", nomes="Maria" - Compare names: tipo="frequencia", nomes="João,José,Pedro" - 2000s ranking: tipo="ranking", decada=2000 - Female names: tipo="ranking", sexo="F" Behavior: read-only and idempotent — a live GET against the public IBGE Nomes (Censo) API. Returns a Markdown table.

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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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• get_nhl_scores

  sports-mcp-server

  Get today's NHL hockey game scores, schedules, and match results. Returns team names, final scores, game times, current standings, and player statistics. Use for hockey fan updates, fantasy league management, or sports betting research.

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• get_claim_content

  Claidex MCP

  Retrieve the complete text content of a specific Claidex Claim by its slug. Use this when you need to read the full post-mortem analysis, including hypothesis, failure mechanism, and prevention analysis.

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• manufacturing_waste_heatmap

  mcp-knowledge

  Generates manufacturing waste heatmaps for COOs using EPA TRI and FAOSTAT data. Input manufacturing site identifiers or geographic regions to analyze waste streams, emissions, and resource inefficiencies. Outputs include waste intensity maps, circular economy opportunity rankings, and cost-saving potential. Ideal for sustainability strategy and operational efficiency improvements. Pass async:true to avoid timeout.

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• thinkneo_verification_dashboard

  ThinkNEO Control Plane

  Aggregated outcome verification metrics — verification rates, failure patterns, agent reliability rankings, and daily trends. Shows how reliably your AI agents are delivering verified outcomes. 'Datadog for AI outcomes'. Requires authentication.

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• university-intel__search_universities_by_name

  TO1 Intelligence Fleet

  [university-intel] Search the global Hipolabs university directory by institution name (substring match, case-insensitive). Returns matching universities with their official name, country, ISO alpha-2 country code, state/province (when known), domain names, and official web pages. Use this when a user asks to look up, verify, or find details about a specific university or college by name (e.g. 'find universities with Middlesex in the name', 'is there a university called X').

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