education-data
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@education-datacompare per-pupil spending across Texas school districts"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-education-data
Education Data MCP — US K-12 schools, districts, funding and child poverty.
Part of Pipeworx — an MCP gateway connecting AI agents to 1573+ live data sources.
Tools
Tool | Description |
| Find US K-12 PUBLIC SCHOOLS by state, with optional city or name filter. Keyless federal data (NCES Common Core of Data via the Urban Institute). Returns each school's NCES id, name, district, city, enrollment, charter/magnet status, grade range, and free/reduced-price lunch counts. Use for "public schools in <city/state>", "how many students at ", "charter schools in ", "which schools have the highest enrollment". For school DISTRICTS use education_find_districts; for COLLEGES use the college-scorecard pack instead — this covers K-12 only. |
| Find US PUBLIC SCHOOL DISTRICTS (local education agencies) by state, with optional name filter. Keyless federal data (NCES Common Core of Data). Returns each district's LEA id, name, county, city, number of schools, enrollment, and teacher counts. Use for "school districts in ", "how big is ", "how many students does serve". The returned leaid feeds education_district_finance and education_child_poverty. |
| School district FUNDING AND SPENDING — revenue by source (federal / state / local) and expenditure by function, plus computed PER-PUPIL spending. Keyless federal data (NCES CCD school district finance survey, F-33). Use for "how much does spend per student", "school funding by district in ", "which districts get the most federal money", "local vs state share of school funding". Pass a state to rank districts, or a leaid (from education_find_districts) for one district. Note the finance survey lags the directory data by 1-2 years. |
| CHILD POVERTY by school district — Census SAIPE estimates of the number and percentage of school-age children (5-17) in poverty, which drive federal Title I funding. Keyless. Use for "child poverty rate in ", "poorest school districts in ", "how many students in poverty in ". Pass a state to rank districts by poverty rate, or a leaid for one district. |
Related MCP server: Open Census MCP Server
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"education-data": {
"url": "https://gateway.pipeworx.io/education-data/mcp"
}
}
}What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/education-data/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}Both URLs reach the same gateway and the same 1573+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"education-data": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-education-data"]
}
}
}Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-education-dataIt speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Education Data data" })The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
K-12 school district data for all 50 US states. Enrollment, demographics, and academics.
School enrollment, graduation rates, demographics, finance, and Title I data
Access US federal award, recipient, agency, and spending analytics data from USAspending.gov.
Georgia education, Census, and immigration data: query, filter, aggregate, and link datasets.
Related MCP Servers
- AlicenseCqualityDmaintenanceProvides access to Urban Institute's Education Data API through Claude, enabling users to query and analyze detailed educational data from schools, districts, and universities.22MIT
- AlicenseAqualityDmaintenanceEnables natural language queries of U.S. Census Bureau data, translating plain English questions into proper API calls and returning demographic, economic, and housing statistics with proper statistical interpretation and context.320MIT
- AlicenseAqualityCmaintenanceEnables querying and analyzing the Philippine schools masterlist dataset, including searching schools, listing regions and divisions, and getting school details by BEIS ID.531 npmISC
- AlicenseNot gradedqualityDmaintenanceIntegrates with SchoolDigger's API to search schools, get rankings, and find districts by location. Enables querying school data through natural language.1MIT