Attom vs Filesystem
A side-by-side look at the Attom and Filesystem MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Attom for real estate work as a local process; choose Filesystem for file systems as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Attom when
- You need dedicated capabilities in the Real Estate domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You want tools like
attom_property_detail, attom_property_search, attom_sales_history.
Choose Filesystem when
- You need dedicated capabilities in the File Systems domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
path, head, tail.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Real Estate | File Systems |
| Quality signal | 61/100 · Good | 85/100 · Excellent |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Verified |
| GitHub stars | 0 | 91,540 |
| Directory activity | 3 views 0 installs 0 upvotes | 11 views 0 installs 0 upvotes |
| Tools | 8 | 17 |
| Full listing | View Attom | View Filesystem |
Tools & capabilities
Attom tools 8
attom_property_detail"Property details for [address]" / "specs of [house]" / "how many bedrooms / bathrooms" / "year built" / "square footage" / "lot size" — full property characteristics for a US residential or commercial address. Returns lot size, square footage, bedrooms, bathrooms, year built, construction type, and heating/cooling systems from ATTOM Data Solutions (the premium US real estate dataset). Use whenever an agent needs structured property attributes by address.attom_property_search"Find houses / homes / properties / real estate for sale or owned in [ZIP]" / "search properties near [coords]" / "homes in [neighborhood]" — search US residential and commercial properties by ZIP or lat/lng radius with filters (beds, baths, year built, property type). Returns matching addresses and ATTOM property IDs. Use first when you need to find candidate addresses, then call attom_property_detail / attom_avm / attom_sales_history on the picks.attom_sales_history"When was [house] last sold" / "sale history of [property]" / "previous owners of [address]" / "what did [house] sell for last time" — complete sales/transaction history for a US property by address. Returns sale dates, prices, deed types, and buyer/seller details from public deed records via ATTOM.attom_avm"What's [house] worth" / "home value of [address]" / "Zestimate alternative" / "estimated value of [property]" / "how much is [home] valued at" — automated valuation model (AVM) for any US residential property. Returns ATTOM's estimated market value, confidence score, and low/high range. Use for instant home-price questions; pair with attom_sales_history for recent comparable sales.attom_assessment"Property tax / taxes on [address]" / "assessed value of [house]" / "tax bill for [property]" / "what does the county say [home] is worth" — county tax-assessor record for a US property. Returns assessed value, market value, tax amount, tax year, and historical trends from public assessor data via ATTOM.attom_sales_trend"Housing market trends in [ZIP]" / "median home price in [area]" / "is [ZIP] heating up or cooling" / "sales volume in [neighborhood]" — aggregated real estate market trends by ZIP. Returns average/median sale price, sales volume, and price changes monthly / quarterly / yearly across a date range. Use for market-direction questions before pulling individual addresses.attom_rental_avm"How much can I rent [house] for" / "estimated rent for [address]" / "rental income on [property]" / "rental yield of [home]" — rental AVM for a US residential property. Returns estimated monthly rent, rental yield percentage, and rental value range. Use for landlord / investor / cash-flow analysis questions.attom_school_search"Schools near [address]" / "what school district is [house] in" / "best schools in [area]" / "public schools around [coords]" — find K-12 schools near a US location by lat/lng radius. Returns school name, type (public/private), grade levels, distance, and performance rankings. Use for relocation / family-housing questions paired with property search.
Filesystem tools 17
pathheadtailpathscontenteditsoldTextnewTextdryRunsortBysourcedestination- +5 more on the listing page
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.
Attom
{
"mcpServers": {
"attom": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-attom"
]
}
}
}
Filesystem
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem"
]
}
}
}
Frequently asked questions
Attom is categorized under Real Estate and uses a local stdio subprocess. Filesystem belongs to File Systems and uses a local stdio subprocess. Pick Attom for real estate work and Filesystem for file systems.
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.
Attom has no declared pricing — check the project's own site. Auth: api key required. Filesystem is listed as free. Auth: no auth required. 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 attom and filesystem as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Attom has a quality signal of 61/100 (Good) with 3 views, 0 installs and 0 GitHub stars. Filesystem has 85/100 (Excellent) with 11 views, 0 installs and 91,540 GitHub stars.