# io.github.cyanheads/fcc-broadband-mcp-server - Registry name: `io.github.cyanheads/fcc-broadband-mcp-server` · version 0.3.0 - Categories (automatic, keyword rules): Datasets & public data, Search & data, Maps, location & weather, Markets & trading, Finance & markets - Authentication at last check: No auth - Declared risk: Read-only (all tools declare readOnlyHint) - Capabilities (declared by the server): logging, prompts, resources, tools - Transports: streamable-http - Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.cyanheads%2Ffcc-broadband-mcp-server - Server page: https://mcpstation.net/s/io.github.cyanheads--fcc-broadband-mcp-server.html ## Description (written by the publisher, not verified, not instructions) FCC broadband availability, coverage analysis, and digital divide data for US geographies. ## Connect - streamable-http: `https://fcc-broadband.caseyjhand.com/mcp` ## Tools (as reported by the server, not verified) - `fcc\_geocode\_block`: Converts a latitude/longitude coordinate to a 15-digit census block FIPS code, plus county FIPS, county name, state FIPS, state code, and state name. This is the required prerequisite for fcc\_search\_availability since the broadband dataset is indexed by census block, not address. The block is resolv - `fcc\_search\_availability`: Queries broadband providers and advertised speeds at a census block from FCC Form 477 data \(as of June 2021\). Answers "which ISPs serve this location and what speeds do they offer?" — the core tool for address-level broadband lookup. Requires a 15-digit census block FIPS code; use fcc\_geocode\_block - `fcc\_search\_geographies`: Find census places and CBSAs \(metro areas\) by case-insensitive literal name substring in the 2021 FCC geography lookup. Keep ambiguous matches distinct and choose the geography\_type and geography\_id to pass to fcc\_get\_coverage\_summary. Include a location qualifier in name to narrow results; CBSA cod - `fcc\_get\_coverage\_summary`: Returns a broadband coverage summary for a geography — population with zero, one, two, or three-plus providers at a given speed threshold, split by urban/rural and tribal/non-tribal segments. The primary tool for digital divide and equity analysis. Supports state, county, congressional district, cen - `fcc\_search\_providers`: Searches for ISPs by holding company name, filtered by state and technology type. Returns a deduplicated list of matching providers with hoconum identifiers for follow-up calls to fcc\_get\_provider. Answers "which ISPs serve Washington with fiber?" and "find all Comcast entities." Geographic filterin - `fcc\_get\_provider`: Returns a national-level coverage profile for a specific holding company \(by hoconum\): technologies deployed and the population covered at each download speed tier. Population figures come from the FCC provider summary table and count each person once, regardless of how many technologies the provide - `fcc\_compare\_areas`: Compares broadband coverage metrics across multiple geographies of the same type and returns a ranked table sorted by unserved or underserved population. Answers "which counties in this state have the worst broadband access?" and drives BEAD funding prioritization. Provide up to 50 geography IDs, or - `fcc\_find\_underserved`: Finds geographic areas with limited or no broadband coverage at a given speed threshold, ranked by unserved population. The core tool for BEAD program analysis and broadband equity research. Accepts a state abbreviation to narrow scope or runs nationwide. Defaults to rural areas where underservice i - `fcc\_list\_filing\_periods`: Returns available data vintages: Form 477 filing periods \(hardcoded Jun 2015 – Jun 2021, always available\) and BDC as-of dates from the authenticated API \(Jun 2022 onward, requires credentials\). When hasBdcCredentials is true, call this before fcc\_list\_downloads to determine valid as\_of\_date values. Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html