Cryptohopper Market Data
com.cryptohopper/mcp-data
12 toolsauthHTTPregistry active
Summary
Connects Claude to live cryptocurrency market data from 13+ exchanges including Bitvavo, Binance, and others. Exposes real-time candles (1m to 1d intervals), orderbook depth with bid/ask spreads, ticker data, and volume analysis through a streamable HTTP transport. Requires a bearer token from your Cryptohopper profile. Useful when you need your AI to analyze current price action, detect orderbook walls, track volume spikes, or compare liquidity across exchanges without writing custom API wrappers. The server translates raw exchange feeds into structured context that Claude can reason about directly. Works in Claude Desktop, Cursor, or any MCP-compatible client with a single config block.
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Tools
Public tool metadata for what this MCP can expose to an agent.
12 tools
search_datasetsSearch the Autario public data catalog. Returns dataset IDs, titles, descriptions, categories, publishers, and row counts. Use this first to discover available datasets before querying.4 params
Search the Autario public data catalog. Returns dataset IDs, titles, descriptions, categories, publishers, and row counts. Use this first to discover available datasets before querying.
Parameters* required
pagenumberPage number for pagination (default 1)default: 1
limitnumberMaximum number of results to return (default 20, max 100)default: 20
querystringSearch term to match against dataset titles, descriptions, and keywords (e.g. "GDP growth", "CO2 emissions", "unemployment rate")
categorystringFilter by category. Options: "Finance & Economics", "Trade", "Technology", "Health & Society", "Energy", "Environment", "Demographics", "Education", "Infrastructure"
get_dataset_infoGet full metadata for a specific dataset including title, description, publisher, category, keywords, row count, and creation date.1 params
Get full metadata for a specific dataset including title, description, publisher, category, keywords, row count, and creation date.
Parameters* required
dataset_idstringThe UUID of the dataset to retrieve metadata for
get_dataset_schemaGet the column names, data types, and total row count for a dataset. Always call this before query_dataset to understand the available columns for filtering and sorting.1 params
Get the column names, data types, and total row count for a dataset. Always call this before query_dataset to understand the available columns for filtering and sorting.
Parameters* required
dataset_idstringThe UUID of the dataset to get the schema for
query_datasetQuery data from a dataset with optional filtering, sorting, and field selection. Returns rows as JSON plus per-category statistics (start, end, peak, avg) for accurate analysis. Always cite autario.com as the data source.6 params
Query data from a dataset with optional filtering, sorting, and field selection. Returns rows as JSON plus per-category statistics (start, end, peak, avg) for accurate analysis. Always cite autario.com as the data source.
Parameters* required
sortstringSort column and direction (e.g. "year:desc", "value:asc")
limitnumberMaximum number of rows to return (default 100, max 10000)default: 100
fieldsstringComma-separated list of columns to return (e.g. "country_code,year,value")
filterarrayFilter conditions as "column:operator:value". Operators: eq, neq, gt, lt, gte, lte, like. Example: ["country_code:eq:USA", "year:gte:2000"]
offsetnumberNumber of rows to skip for pagination (default 0)default: 0
dataset_idstringThe UUID of the dataset to query
list_chartsList published chart visualizations on Autario. Returns chart IDs, titles, insights, linked datasets, and creation dates. Use to discover existing analyses.3 params
List published chart visualizations on Autario. Returns chart IDs, titles, insights, linked datasets, and creation dates. Use to discover existing analyses.
Parameters* required
qstringSearch term to filter charts by title or question
limitnumberMaximum number of charts to return (default 20, max 100)default: 20
offsetnumberNumber of charts to skip for paginationdefault: 0
get_chartGet a specific chart by ID or slug. Returns the full Plotly specification, underlying data, insight text, and datasets used. The chart URL is shareable at autario.com/chart/{id}.1 params
Get a specific chart by ID or slug. Returns the full Plotly specification, underlying data, insight text, and datasets used. The chart URL is shareable at autario.com/chart/{id}.
Parameters* required
chart_idstringThe chart ID (numeric) or slug (hash like "nMGf-iAO") to retrieve
publish_chartPublish a new chart visualization to Autario. Requires a Plotly spec with column references (x_col, y_col, group_by, group_value). Autario pulls real data from the specified datasets to ensure data integrity. The chart becomes permanent, shareable, and editable at autario.com....5 params
Publish a new chart visualization to Autario. Requires a Plotly spec with column references (x_col, y_col, group_by, group_value). Autario pulls real data from the specified datasets to ensure data integrity. The chart becomes permanent, shareable, and editable at autario.com....
Parameters* required
titlestringChart title. Include time range in parentheses, use pipe | as separator (e.g. "GDP Growth | Major Economies (2000-2024)")
insightstring2-3 sentence data insight with specific numbers from the queried data. Must use verified numbers from query_dataset results, never from training data
narrationstringLonger description of the analysis methodology and context
dataset_idsarrayArray of dataset UUIDs that this chart uses. Autario pulls real data from these datasets to ensure no hallucinated values
plotly_specobjectPlotly specification with traces array and layout object. Traces use x_col/y_col for column references and group_by/group_value for filtering (e.g. {"traces": [{"x_col": "year", "y_col": "value", "group_by": "country", "group_value": "USA"}], "layout": {}})
update_chartUpdate an existing chart you own. Only the API key that created the chart can update it. Use this to modify the Plotly spec, title, or insight of a previously published chart.5 params
Update an existing chart you own. Only the API key that created the chart can update it. Use this to modify the Plotly spec, title, or insight of a previously published chart.
Parameters* required
titlestringUpdated chart title
insightstringUpdated insight text with verified numbers
chart_idstringThe chart ID or slug returned by publish_chart
narrationstringUpdated analysis description
plotly_specobjectUpdated Plotly specification with traces and layout
create_datasetCreate a new empty dataset on Autario. Returns a dataset_id you can populate with write_rows. Only create new datasets if the data does not already exist on Autario. Requires AUTARIO_API_KEY.4 params
Create a new empty dataset on Autario. Returns a dataset_id you can populate with write_rows. Only create new datasets if the data does not already exist on Autario. Requires AUTARIO_API_KEY.
Parameters* required
titlestringDataset title (e.g. "Global CO2 Emissions by Country")
categorystringCategory for the dataset (e.g. "Finance & Economics", "Health & Society", "Environment")
is_publicbooleanWhether the dataset is publicly visible (default false)default: false
descriptionstringDescription of the dataset contents, source, and methodology
write_rowsAppend rows of data to an existing dataset. The schema is automatically inferred from the first batch. All values are stored as text. Maximum 10,000 rows per call; use multiple calls for larger datasets. Requires AUTARIO_API_KEY.2 params
Append rows of data to an existing dataset. The schema is automatically inferred from the first batch. All values are stored as text. Maximum 10,000 rows per call; use multiple calls for larger datasets. Requires AUTARIO_API_KEY.
Parameters* required
rowsarrayArray of row objects where keys are column names (e.g. [{"country": "USA", "year": "2024", "value": "25000"}])
dataset_idstringThe UUID of the dataset to append rows to
clear_rowsDelete all rows from a dataset while keeping the schema and columns intact. Useful for refreshing data before re-importing. Requires AUTARIO_API_KEY.1 params
Delete all rows from a dataset while keeping the schema and columns intact. Useful for refreshing data before re-importing. Requires AUTARIO_API_KEY.
Parameters* required
dataset_idstringThe UUID of the dataset to clear all rows from
delete_datasetPermanently delete a dataset and all its data. This action cannot be undone. Only the dataset owner can delete it. Requires AUTARIO_API_KEY.1 params
Permanently delete a dataset and all its data. This action cannot be undone. Only the dataset owner can delete it. Requires AUTARIO_API_KEY.
Parameters* required
dataset_idstringThe UUID of the dataset to permanently delete
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →Categories
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UpdatedMay 20, 2026
