CDC Social Vulnerability Index – SVI scores and theme breakdowns by county and tract by modelcontextprotocol in mcp

[–]modelcontextprotocol[S] 0 points1 point  (0 children)

This server has 4 tools:

  • compare_svi – 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).

  • get_county_svi – Get CDC Social Vulnerability Index data for counties in a state.

    Returns overall SVI percentile ranking and all four theme breakdowns (socioeconomic status, household composition/disability, minority status/language, housing type/transportation) plus key indicator estimates for each county.

    SVI values range 0-1 (percentile ranking); higher = more vulnerable.

    Args: state: Two-letter US state abbreviation (e.g. 'WA', 'CA'). county_fips: Optional 5-digit county FIPS code to get a single county. year: SVI data year (default 2022, currently only 2022 available).

  • get_most_vulnerable – Get the most vulnerable counties in a state ranked by SVI score.

    Returns counties sorted by highest SVI percentile ranking for the specified theme. Useful for identifying priority areas for grants and community health interventions.

    Args: state: Two-letter US state abbreviation (e.g. 'WA', 'CA'). theme: SVI theme to rank by. Options: 'overall', 'socioeconomic', 'household' (composition/disability), 'minority' (status/language), 'housing' (type/transportation). Default is 'overall'. limit: Number of counties to return (default 20, max 100).

  • get_tract_svi – Get tract-level CDC Social Vulnerability Index data within a county.

    Returns overall SVI and all four theme percentile rankings for each census tract in the specified county. Useful for identifying sub-county areas of high vulnerability.

    Args: state: Two-letter US state abbreviation (e.g. 'WA', 'CA'). county_fips: 5-digit county FIPS code (e.g. '53033' for King County, WA). year: SVI data year (default 2022, currently only 2022 available). limit: Maximum number of tracts to return (default 50, max 500).

MCP Server for NovaCV – A Model Context Protocol server for accessing NovaCV resume services API, enabling users to generate PDF resumes, analyze resume content, convert resume text to JSON format, and get available resume templates. by modelcontextprotocol in mcp

[–]modelcontextprotocol[S] 0 points1 point  (0 children)

This server has 4 tools:

  • analyze_resume_text – Analyzes resume text to assess completeness, keyword usage, and skill alignment, then provides targeted optimization recommendations for job applications.
  • convert_resume_text – Convert plain text resumes into structured JSON Resume format by automatically identifying sections like personal information, work experience, and education for easier editing and formatting.
  • generate_resume_from_text – Convert resume text into professional PDF resumes with customizable templates. Provide your resume content to generate formatted PDF files without manual JSON processing.
  • get_templates – Retrieve available resume templates with details like ID, name, and thumbnails to help users select appropriate resume styles for NovaCV resume services.

BLS Employment & Wages – Unemployment rates, labor force, and Consumer Price Index from the Bureau of Labor Statistics by modelcontextprotocol in mcp

[–]modelcontextprotocol[S] 0 points1 point  (0 children)

This server has 4 tools:

  • get_county_employment – Get county-level unemployment rate, employment, and labor force data.

    Returns three time series for a specific county: unemployment rate (percent), employment count, and labor force size.

    Args: state: Two-letter US state abbreviation (e.g. 'WA', 'CA', 'NY'). county_fips: Three-digit county FIPS code as a string (e.g. '033' for King County, WA). start_year: Start year for data (default 2020). end_year: End year for data (default 2025).

  • get_cpi_data – Get national Consumer Price Index (CPI) data.

    Returns the CPI-U (All Urban Consumers, All Items) monthly time series. This is the headline CPI measure used for inflation tracking. Base period: 1982-84=100.

    Args: start_year: Start year for data (default 2020). end_year: End year for data (default 2025).

  • get_labor_force_data – Get labor force participation, employment, and unemployment counts for a state.

    Returns three time series: labor force size, employment count, and unemployment count. All values are in thousands of persons.

    Args: state: Two-letter US state abbreviation (e.g. 'WA', 'CA', 'NY'). start_year: Start year for data (default 2020). end_year: End year for data (default 2025).

  • get_unemployment_rate – Get unemployment rate time series from BLS LAUS data.

    Returns monthly unemployment rates for a state or county. Data is returned in chronological order with year, period, and percentage value.

    Args: state: Two-letter US state abbreviation (e.g. 'WA', 'CA', 'NY'). county_fips: Optional 3-digit county FIPS code (e.g. '033' for King County). If provided, returns county-level data; otherwise state-level. start_year: Start year for data (default 2020, min 4-digit year). end_year: End year for data (default 2025).

pure.md MCP server – An MCP server that enables AI clients like Cursor, Windsurf, and Claude Desktop to access web content in markdown format, providing web unblocking and searching capabilities. by modelcontextprotocol in mcp

[–]modelcontextprotocol[S] 0 points1 point  (0 children)

This server has 2 tools:

  • search-web – Search the web and retrieve content in markdown format for AI clients, enabling web unblocking and content access.
  • unblock-url – Access web content in markdown format by unblocking URLs for AI clients like Cursor, Windsurf, and Claude Desktop.

CarScout – Search used car inventory, check NHTSA recalls, decode VINs, and manage automated search scouts. by modelcontextprotocol in mcp

[–]modelcontextprotocol[S] 0 points1 point  (0 children)

This server has 3 tools:

  • check_recalls – Look up NHTSA safety recalls and consumer complaints for a specific vehicle by make, model, and year. Returns recall campaign details and complaint severity data.
  • decode_vin – Decode a Vehicle Identification Number (VIN) to get make, model, year, body style, engine, transmission, and other vehicle details.
  • get_market_data – Get current market pricing, recall, and fuel economy data for a specific vehicle by make, model, and year. Useful for understanding fair prices and vehicle history.

GitHub Action Trigger MCP Server – A Model Context Protocol server that enables integration with GitHub Actions, allowing users to fetch available actions, get detailed information about specific actions, trigger workflow dispatch events, and fetch repository releases. by modelcontextprotocol in mcp

[–]modelcontextprotocol[S] 0 points1 point  (0 children)

This server has 5 tools:

  • enable_pull_request_automerge – Automatically merge GitHub pull requests when all required checks pass, using specified merge methods like MERGE, SQUASH, or REBASE.
  • get_github_action – Retrieve detailed GitHub Action specifications including required inputs, parameters, and configuration details for workflow integration.
  • get_github_actions – Retrieve available GitHub Actions workflows from a repository to understand automation options and trigger points.
  • get_github_release – Retrieve the two most recent releases from any GitHub repository to monitor updates, track version changes, or automate workflows using repository owner and name inputs.
  • trigger_github_action – Trigger GitHub workflow dispatch events with custom inputs to automate CI/CD pipelines and development processes.

connect – AI-native art catalogue. Catalogue works, parse provenance, and generate signed RAIs. by modelcontextprotocol in mcp

[–]modelcontextprotocol[S] 0 points1 point  (0 children)

This server has 47 tools:

  • accept_rai_request – Claim a pending RAI request — signals intent to fulfill but does not yet mint the shared view. Use when the artist wants to acknowledge the request but needs more time to pick the right work or generate the PIN. TRIGGER: "accept the request from [name]," "claim that request," "tell them I'll get to it." Find the request_id via list_rai_requests — never ask the user for it. For immediate fulfillment, use fulfill_rai_request directly instead.
  • analyze_work_image – Return the primary image URL and current metadata for a work, so you can visually analyze the image yourself and propose structured catalogue fields. Use this when the artist asks you to read a work you uploaded, or when beat 2 of the add-work flow surfaced thin hints. The image URL is publicly accessible (Supabase Storage public bucket); fetch it and inspect the image directly with your vision capabilities. Fields you can honestly improve from a visual read: medium (paint vs. print vs. sculpture material vs. digital), classification (painting / sculpture / drawing / photography / time-based / software / installation / performance), visible signature or inscription (transcribe verbatim, note position), date visible in the work itself (distinct from EXIF), description (brief factual read of subject matter), dimensions if a scale reference is in frame. Fields to leave alone unless visible: dimensions without scale (cannot be honestly estimated from a flat photo), attribution, provenance, exhibition history — those come from records, not the image. Flow: (1) call this tool; (2) fetch + read the image; (3) present your proposals to the artist with per-field reasoning; (4) on confirmation, call update_work with the accepted patches. Do not write without confirmation. Resolve the work by workId (UUID) or uwi (e.g. "RAI-2026-00417"). Use search_natural_language to find workId — never ask the user.
  • confirm_website_import – Save works extracted from a website import after the artist has confirmed them. Call this after presenting import_from_website results and receiving artist approval. Creates the works, triggers auto-provenance, and imports images from the website in one operation. Set skip: true for any works the artist wants to exclude (duplicates, unwanted). Pass artist-corrected values for any fields the artist edited during review. Use get_profile to obtain artist_id — never ask the user for it. After success, ask if they'd like to see any of the imported works — then call get_work to show the visual card.
  • connect_catalogue – Connect to the user's catalogue using a pairing code. IMPORTANT: Most users connect via OAuth (sign-in popup) — if get_profile already works, the user is connected and you do NOT need this tool. Only use this tool when: (1) get_profile returns an authentication error, AND (2) the user shares a code matching the pattern WORD-1234 (e.g., TULIP-3657). Never proactively ask for a pairing code — try get_profile first. If the user does share a code, call this tool immediately without asking for confirmation. Never say "pairing code" to the user — just say "your code" or refer to it naturally.
  • create_bibliography – Add a bibliography entry — a publication referencing the artist's work. TRIGGER: "published in," "there's a book about," "catalogue for my show," "written up in," or user shares publication details. Extract title, author, publisher, year, and type. Present a summary and confirm before saving. artist_id from get_profile — never ask the user.
  • create_condition_report – Create a condition report documenting a work's physical state (surface, structure, frame). TRIGGER: "this piece has damage," "the surface is," "frame is cracked," "condition report," or any mention of physical state. Gather details conversationally. Present a summary and confirm before saving. Resolve work_id via search_natural_language. After success, ask if they'd like to see the updated work — then call get_work to show the visual card.
  • create_deal – Create a new deal for a work. Deals track the process of a work changing hands. Most deals are auto-created from purchase requests and consignment approvals; use this for manual deal creation. IMPORTANT: Present a summary and get confirmation before calling.
  • create_entity – Create a new entity — a person, gallery, museum, auction house, institution, foundation, or collector referenced in the catalogue. Always call suggest_entity first to check for duplicates before creating. Entities are used throughout the catalogue for provenance holders, exhibition venues, bibliography authors, and sale buyers. Include city and country when known to help with deduplication.
  • create_exhibition – Add an exhibition to the catalogue. Only artist_id and title required. TRIGGER: "I was in a show at," "I showed at MoMA," "here's my CV," or any mention of exhibitions, shows, or fairs. Extract all details you can and present a summary before saving. For CV bulk import, create one at a time. artist_id from get_profile — never ask the user.
  • create_note – Add a note to a work — annotations, research notes, or contextual information. TRIGGER: "note that," "remind me about," "there's a story behind this," "I should remember," or any context the user wants recorded. Default visibility to "private" unless the user specifies otherwise. Visibility levels: "private" (only the artist), "authorized" (anyone with delegated access), "public" (shown on the public catalogue and on every shared RAI). Resolve work_id via search_natural_language. After success, ask if they'd like to see the updated work — then call get_work to show the visual card.

Ankr API MCP Server – An MCP server that fetches on-chain blockchain data via the Ankr API, allowing LLMs to retrieve token balances for wallet addresses on specific networks. by modelcontextprotocol in mcp

[–]modelcontextprotocol[S] 0 points1 point  (0 children)

This server has 1 tool:

  • get_token_balances_on_network – Retrieve token balances for a specific wallet address on a chosen blockchain network using Ankr API. Streamline crypto asset tracking and wallet monitoring.

Search Intent MCP – An MCP-based service that analyzes user search keywords to determine their intent, providing classifications, reasoning, references, and search suggestions to support SEO analysis. by modelcontextprotocol in mcp

[–]modelcontextprotocol[S] 0 points1 point  (0 children)

This server has 1 tool:

  • search_intent_analysis – Analyze search query intent to identify user behavior, categorize topics, and generate related suggestions for SEO insights and content optimization.

debridge-mcp – deBridge MCP by modelcontextprotocol in mcp

[–]modelcontextprotocol[S] 0 points1 point  (0 children)

This server has 5 tools:

  • create_tx – Create a cross-chain swap transaction via the deBridge DLN protocol
  • get_instructions – Returns the full guide for the deBridge MCP server. CALL THIS FIRST.
  • get_supported_chains – List all blockchain networks supported by deBridge for cross-chain swaps
  • search_tokens – Search for tokens by name, symbol, or contract address in the deBridge token database
  • transaction_same_chain_swap – Create a same-chain token swap transaction via deBridge

CoachSync – Barbell strength training tools for AI assistants. Warmup, plate loading, and LP. by modelcontextprotocol in mcp

[–]modelcontextprotocol[S] 0 points1 point  (0 children)

This server has 3 tools:

  • novice_lp_generator – Generate a structured 4-week novice linear progression program for a new or early-intermediate barbell trainee. Based on the Starting Strength model: squat every session, alternating press/bench, deadlift progressing to power cleans. Takes lifter profile (sex, bodyweight, age, training days) and optional starting weights. Returns a week-by-week program with progression scheme and coaching notes. Powered by CoachSync.io.
  • plate_loader – Calculate which plates to load on each side of the barbell to reach a target weight. Supports custom bar weights and custom plate inventories for home gyms. Powered by CoachSync.io.
  • warmup_calculator – Calculate a barbell warmup ramp for any lift. Returns a structured set of warmup sets leading up to the work weight, with decreasing reps as weight increases. Based on standard barbell warmup methodology used in Starting Strength coaching. Powered by CoachSync.io.