MCP Server Chart vs Gaff Check
A side-by-side look at the MCP Server Chart and Gaff Check MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Server Chart for data visualization work as a local process; choose Gaff Check for real estate as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose MCP Server Chart when
- You need dedicated capabilities in the Data Visualization domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
generate_area_chart, generate_bar_chart, generate_boxplot_chart.
Choose Gaff Check when
- You need dedicated capabilities in the Real Estate domain.
- You prefer a local stdio subprocess transport.
- You want tools like
resolve_location, planning_applications, sold_prices.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Data Visualization | Real Estate |
| Quality signal | 71/100 · Great | 61/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | Not declared |
| Pricing | Free | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 4,401 | 8 |
| Directory activity | 10 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 27 | 8 |
| Full listing | View MCP Server Chart | View Gaff Check |
Tools & capabilities
MCP Server Chart tools 27
generate_area_chartGenerate a area chart to show data trends under continuous independent variables and observe the overall data trend, such as, displacement = velocity (average or instantaneous) × time: s = v × t. If the x-axis is time (t) and the y-axis is velocity (v) at each moment, an area chart allows you to observe the trend of velocity over time and infer the distance traveled by the area's size.generate_bar_chartGenerate a horizontal bar chart to show data for numerical comparisons among different categories, such as, comparing categorical data and for horizontal comparisons.generate_boxplot_chartGenerate a boxplot chart to show data for statistical summaries among different categories, such as, comparing the distribution of data points across categories.generate_column_chartGenerate a column chart, which are best for comparing categorical data, such as, when values are close, column charts are preferable because our eyes are better at judging height than other visual elements like area or angles.generate_district_mapGenerates regional distribution maps, which are usually used to show the administrative divisions and coverage of a dataset. It is not suitable for showing the distribution of specific locations, such as urban administrative divisions, GDP distribution maps of provinces and cities across the country, etc. This tool is limited to generating data maps within China.generate_dual_axes_chartGenerate a dual axes chart which is a combination chart that integrates two different chart types, typically combining a bar chart with a line chart to display both the trend and comparison of data, such as, the trend of sales and profit over time.generate_fishbone_diagramGenerate a fishbone diagram chart to uses a fish skeleton, like structure to display the causes or effects of a core problem, with the problem as the fish head and the causes/effects as the fish bones. It suits problems that can be split into multiple related factors.generate_flow_diagramGenerate a flow diagram chart to show the steps and decision points of a process or system, such as, scenarios requiring linear process presentation.generate_funnel_chartGenerate a funnel chart to visualize the progressive reduction of data as it passes through stages, such as, the conversion rates of users from visiting a website to completing a purchase.generate_histogram_chartGenerate a histogram chart to show the frequency of data points within a certain range. It can observe data distribution, such as, normal and skewed distributions, and identify data concentration areas and extreme points.generate_line_chartGenerate a line chart to show trends over time, such as, the ratio of Apple computer sales to Apple's profits changed from 2000 to 2016.generate_liquid_chartGenerate a liquid chart to visualize a single value as a percentage, such as, the current occupancy rate of a reservoir or the completion percentage of a project.- +15 more on the listing page
Gaff Check tools 8
resolve_locationResolve a free-text Irish address or place name to geographic coordinates (WGS84 lat/lng), returning ranked candidate matches. Use this first when the user gives an address, street, townland, or place name in Ireland, to confirm the correct location before calling other gaff-check tools — every candidate echoes its full resolved name so you (and the user) can sanity-check the match. If you already have exact lat/lng coordinates, you do not need this tool. Geocoding uses OpenStreetMap Nominatim and is best-effort: rural addresses and new estates may match poorly, and Eircodes only resolve where OSM mappers happen to have added them (there is no licensed Eircode lookup — if the user has only an Eircode, ask for the address or an approximate location instead). The confidence score ranks candidates within one query; it is not an absolute probability. Coordinates are WGS84 decimal degrees.planning_applicationsFind Irish planning applications near a location, from the National Planning Application Database (all 31 local authorities, coverage back to ~2010, updated on varying cadences). Use this for property due diligence: pending or recent developments near a home (apartment blocks, roads, masts), extensions and attic conversions on the same street (precedents for what gets approved), and refusals that hint at site constraints. Returns per application: reference number, local authority, development description, address, status, decision with dates, distance in metres from the query point, and a link to the local authority's planning file where available. Provide either lat/lng (WGS84) or a free-text address (geocoded via OpenStreetMap; the resolved location is echoed back — verify it matches before drawing conclusions). Dates are ISO YYYY-MM-DD. The 'decided'/'pending' filter is based on whether a decision date is recorded; raw status strings vary by local authority and are returned verbatim. Coordinates of some older applications are approximate, and update lag differs by authority — absence of results is not evidence that nothing is planned.sold_pricesLook up actual sold prices of residential properties in Ireland from the official Property Price Register (PSRA), which records declared prices from stamp-duty filings since January 2010. Use this to see what properties actually sold for near a property of interest: filter by county (required — the register is organised by county), a free-text address fragment (e.g. a street or estate name), an Eircode routing key (first 3 characters, e.g. 'D06' — only present on more recent records), a date range, and/or a price range. Returns per sale: date, declared price in EUR, address as recorded, Eircode where recorded, new vs second-hand, and flags for not-full-market-price and VAT-exclusive sales. Results are newest first. Know the data's limits: addresses are free text typed from stamp-duty returns — spelling varies, many records lack Eircodes, and address matching is substring-based, so try street name alone before street + number. There is no floor area, so price-per-square-metre cannot be derived. Prices on new builds are often VAT-exclusive (flagged), and declared-price errors exist in the register. This tool reports records, not valuations. If the user has no county, ask them (or infer it from the address) before calling.radon_riskGet the EPA's radon risk classification for the area containing a location in Ireland. Radon is a naturally occurring radioactive gas and the second biggest cause of lung cancer in Ireland after smoking. Use this during property due diligence to learn the area's banding from the EPA Radon Risk Map: the result echoes the EPA's own wording ("About 1 in N homes in this area is likely to have high radon levels", where N is 5, 10 or 20 — lower N means higher risk) plus a high_radon_area flag (true for the 1-in-5 and 1-in-10 bands, the ≥10% threshold Ireland uses to designate High Radon Areas, which carry legal testing duties for workplaces). This is an area-level prediction from measurement and geological data — it is NOT a measurement of any specific home. The EPA's standing advice ships in every response: any home anywhere can have high radon regardless of banding, the only way to know is to test, and testing is cheap (~€50). Provide lat/lng (WGS84) or a free-text address (geocoded; resolved location echoed back).zoningGet the generalised land-use zoning for a location in Ireland, from the Myplan.ie composite of all current local authority development plans. Use this in property due diligence to learn what the land is zoned for — residential, agricultural, open space, industrial, mixed use, etc. Zoning tells you what could be built there (or next door), whether a site has development potential, and whether a use is likely permissible. Returns the generalised zone type (standardised across authorities, e.g. 'Existing residential'), the local authority's own original zone label and objective text, the development plan name with its validity dates, and a link to plan documents where available. Provide lat/lng (WGS84) or a free-text address (geocoded; resolved location echoed back). Important: generalised zoning is a standardised simplification that complements but does NOT replace the statutory development plan — zone boundaries are generalised, and specific objectives, conditions and designations (protected structures, flood zones, SACs) live in the written plan. Verify anything decision-critical against the local authority's plan via the link. Points on unzoned land (much of rural Ireland outside town plans) return no records; that means no zoning objective is mapped, not that development is impossible.flood_riskCheck mapped flood context for a location in Ireland: groundwater flood probability (high/medium/low), maximum historic groundwater flooding, and observed winter 2015/2016 surface-water flooding, from Geological Survey Ireland's 1:20,000 mapping. Use this in property due diligence. For each layer you get: whether the point itself lies inside a mapped extent (at_point), how many extents fall within the search radius, and the distance in metres to the nearest one. Groundwater flooding (turloughs, high water tables) is a distinct hazard from river or coastal flooding and matters especially in karst limestone areas of the west and midlands. CRITICAL LIMITATION — this tool does NOT check river (fluvial) or coastal flood models. The OPW's national flood extent datasets are licensed CC-BY-NC-ND, which forbids serving derived query results, so results include unchecked entries for them pointing to the OPW's official viewer (floodinfo.ie) where the user can view all flood maps for the location. A property can be at serious river or coastal flood risk while showing nothing in this tool's results. Never interpret empty results as "no flood risk": mapping is not exhaustive, pluvial (rain) flooding is not mapped at all, and the fluvial/coastal layers are not queried. Absence of a mapped extent means exactly that and no more. Provide lat/lng (WGS84) or a free-text address (geocoded; resolved location echoed back). Insurance decisions use different, private data — this tool says nothing about insurability.ber_contextGet Building Energy Rating (BER) context for an area of Ireland: the distribution of BER grades (A1 best … G worst) among certified dwellings in a county or Dublin postal district, optionally narrowed to a construction era, plus current SEAI retrofit grant amounts. Use this to answer "what energy rating is typical for a house of this age around here?" and "what upgrade grants exist?" during property due diligence. Data is CSO statistics aggregated from BER certificates published since 2009 — e.g. 1978-1999 houses in Co. Galway cluster around C/D, while 2015+ builds are overwhelmingly A-rated. Areas accepted: the 26 counties, the cities (Dublin/Cork/Galway/Limerick/Waterford), or Dublin postal districts ('Dublin 9', 'D6W'). Construction periods: 1700-1977, 1978-1999, 2000-2004, 2005-2009, 2010-2014, 2015-2019, 2020-2024, 2025-2029. THIS TOOL CANNOT TELL YOU A SPECIFIC HOME'S BER — never present the area distribution as the property's rating. A home's actual BER is on its certificate: the seller/agent must provide it, or it can be looked up on SEAI's public register (link included in every response) with the BER number or MPRN. Note also the statistics' bias: only dwellings that needed a certificate (sold, rented, grant-aided, or new since 2009) are counted, so old housing stock that never transacted is under-represented and its true typical rating is likely worse than shown. Grant amounts are a static reference with a last-verified date — confirm on seai.ie before financial decisions.recorded_crime_contextGet recorded-crime context for the Garda sub-district containing an Irish location, using official CSO counts and current Garda administrative boundaries. Use this for factual questions such as "what categories of crime have been recorded in this wider Garda area?" or to supply category-specific values for a choropleth. It returns annual counts, a pooled annual average, rates per 1,000 Census 2022 residents with approximate 95% Poisson intervals, and optionally the latest four-quarter Garda Division trend. Provide WGS84 lat/lng or a free-text address. Offence groups use official broad codes 03–16; omit them to return all published local groups. This is NOT a street-level crime heatmap or a property safety assessment. CSO station data applies to the entire Garda sub-district polygon: incidents have no published coordinates and may have happened anywhere within it. Never infer a hotspot near the address, spread incidents evenly across the polygon, combine categories into a score, or label the property/area safe or unsafe. Homicide (01) and sexual offences (02) are not published at this local resolution and are explicitly reported as unchecked. Resident-based rates are weak in city centres, airports, retail and nightlife areas with large non-resident populations; enforcement activity also affects some categories. Recorded incidents use PULSE report dates, can be revised, and are not a measure of all crime experienced. Fraud has a 2023 break and a narrower public-reported series from 2024.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
MCP Server Chart
{
"mcpServers": {
"antv-mcp-server-chart": {
"command": "npx",
"args": [
"-y",
"@antv/mcp-server-chart"
]
}
}
}
Gaff Check
{
"mcpServers": {
"gaff-check": {
"command": "npx",
"args": [
"-y",
"gaff-check"
]
}
}
}
Frequently asked questions
MCP Server Chart is categorized under Data Visualization and uses a local stdio subprocess. Gaff Check belongs to Real Estate and uses a local stdio subprocess. Pick MCP Server Chart for data visualization work and Gaff Check for real estate.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
MCP Server Chart is listed as free. Auth: no auth required. Gaff Check has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add antv-mcp-server-chart and gaff-check as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Server Chart has a quality signal of 71/100 (Great) with 10 views, 0 installs and 4,401 GitHub stars. Gaff Check has 61/100 (Good) with 1 views, 0 installs and 8 GitHub stars.