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  1. Home
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  3. MAIA MCP
MAIA MCP

MAIA MCP Integration for AI Agents

MAIA Analytics turns natural-language questions about U.S. locations into geospatial research projects with interactive maps and structured datasets. Explore property parcels, ownership, zoning, buildings, nearby businesses, schools, and land use; import CSV or GeoJSON files, enrich records with researched details, and save reusable research workflows.

v0.1.025 toolsOAuth
Open in ChatGPTChatGPT
Open in ClaudeClaude
Playground
VS CodeVS Code
Connected to MAIA MCP via MewCP.

Encrypted at rest, isolated from the model

Resolved from an AES-256-GCM vault at the moment of the call and attached to the request — the model never sees the secrets.

Try asking

Everything MAIA MCP can do

Tools25

find_county

read

Find US counties by name, and whether you can build MAIA projects in them, plus cities and towns of that name with their counties: the lookup before create_project for US places.

find_places

read

Resolve US cities, neighborhoods, ZIP codes, metros or regions to the counties a project covers, with the web app's place search; it does not search for businesses. Returns plan counties separately from unavailable counties, unmatched places, county and outline limits, and a question when a name needs the user's choice. Creates nothing. Pass the names as a list to create_project's places for city and neighborhood outlines when available (a notice reports whole-county fallback), or its county codes for whole counties.

list_projects

read

List MAIA projects you can see, most recently updated first.

get_project

read

Describe a project: its layers, their columns and row counts, its views and, for its owner, its sharing.

project_schema

read

The relations and columns query_project can read in one project, with a handbook on how to query them. Call once per conversation before query_project.

query_project

write

Run one SELECT over a project's own layers and return its rows; it changes no data. A statement over a layer that may hold parcel data spends the workspace's parcel export budget. Call project_schema first: it lists the relations you can name and how to query them. Returns at most 1000 rows and 512 KiB whatever LIMIT you write: total_rows is how many rows the statement returned and truncated says whether the caps cut some, so aggregate in SQL rather than paging rows out. Shared county tables are not reachable here; MAIA's own county records reach you only as the own-data columns and __sales relations project_schema lists.

get_run

read

Report a MAIA run: progress while running, then MAIA's answer, a question, work stopped at the time limit (incomplete), an error, or cancellation. steps lists all started tool calls in order, including repeated labels; steps_started is its length, or null when progress is unavailable. After stop_run, pass its run_id: running means the run has not finished stopping yet. A final stopped status confirms it stopped.

follow_run

read

Report a MAIA run's progress to the in-chat view.

run_status

read

Whether a MAIA run is active on a project, without reading its chat.

create_project

destructive

Use MAIA for questions about places in the United States: which places or properties match criteria, who owns them, what is near them, who lives and works around them, how many there are in an area, or a list of them, from parcels to bike shops, with contacts or other details MAIA researches for each row, such as which ones do repairs. It is not for a business's hours, phone number or directions. Creates a MAIA project and starts MAIA on the request or skill. Read maia_guide first unless you already read it in this conversation. The project starts private unless workspace_access says otherwise; a public link comes later, with set_project_sharing and share_project_publicly. A county_fips marked can_be_county_of_choice is added to the workspace for good, as its one free county outside the plan; pick one only when the user named it. When the plan cannot take a county, or MAIA has no data for it, not_created says why in place of a project; tell the user. Returns at once; follow with get_run.

send_message

destructive

Ask MAIA a follow-up question or for more work on an existing project, or run a skill on it. Cancels any pending question or approval, so it also answers a question in your own words when none of its options fits; to pick an option or decide an approval, use respond or approve_step instead. Returns at once; follow with get_run.

respond

destructive

Answer MAIA's question, or decline its approval (status "needs_input" from get_run). To approve, use approve_step. A question takes one of its options; when no option fits, answer in your own words with send_message instead.

approve_step

destructive

Let MAIA run the step it asked approval for. Call only after the user has read the summary and said yes.

stop_run

destructive

Request a stop of MAIA's current run. MAIA keeps what it finished so far. This acknowledges the request, not completion. Follow the returned run_id with get_run until it is no longer running.

set_project_sharing

destructive

Change who can open a project, and return its sharing. Only the project's owner can.

share_project_publicly

destructive

Turn on a public link that anyone can open, inside or outside the user's organization. Call only after the user read the summary and said yes.

get_upload_link

write

Get a one-use link to import a CSV, Excel, GeoJSON or other data file into MAIA. Post the file to it with the returned curl command; the response names the project and, for addresses, an import to follow with get_import.

import_rows

write

Import rows you can read, such as a file the user attached, into MAIA. Choose whether to match addresses using match_addresses; MAIA proposes property columns or asks for a confirmed address_mapping. For a file too large to pass here, use get_upload_link.

get_import

read

Report an address import's progress: rows matched to parcels or places, rows not matched and why, or why it failed. A failed import with no failure_reason committed no rows; unmatched_by_reason explains why.

search_docs

read

Search MAIA's published docs and data catalog for MAIA's capabilities, the data it has and where, setup, pricing and integrations. Returns up to five matching sections with page URLs and current workspace availability, never the whole docs set. Cite the sources and respect availability restrictions.

maia_guide

read

What MAIA does, requests that work well, how runs, usage and approvals work, and its limits.

list_skills

read

List the MAIA skills you and your workspace have — reusable workflows MAIA can run.

save_skill

destructive

Save one of your MAIA skills, replacing yours with the same name. Show the user the draft and get their yes first.

save_to_maia_memory

destructive

Save a note to your MAIA memory, which MAIA reads in every project, replacing the section with the same title. Show the user the note and get their yes first.

project_snapshot

read

The project's layers, a page of rows as its default view shows them, and their shapes, for the in-chat view.

Connect MAIA MCP to your agent

One endpoint, the same key, whichever client you use.

Apps

SDKs

Claude Desktop

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json (Mac) · %APPDATA%\Claude\claude_desktop_config.json (Windows)

JSON
{
  "mcpServers": {
    "mewcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://gateway.mewcp.com/personal/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer API_KEY"
      }
    }
  }
}

Replace API_KEY with your own key.

Already have an "mcpServers" section in your config? Just add the server entry inside it.

  1. 01Open Claude Desktop → Settings → Developer → "Edit Config"
  2. 02Paste the snippet inside the outer { } of the config file (merge with your existing "mcpServers" section if you have one)
  3. 03Save the file, then quit Claude Desktop completely and reopen it
  4. 04Start a new conversation — your tool will be available

One endpoint. Every service.

VS CodeAny agent
One Gateway

Apify MCP

OAuth

Consensus MCP

OAuth

legal Data Hunter MCP

OAuth

MAIA MCP

OAuth

Discovery, routing, credentials, tool scoping and execution logs all happen at the gateway→connections stay ACTIVE with no work from you

Separate connections░░░░░░░░░░░░░░░░░░░░░░░░░░░░45 tool definitions ~5.4k tokensWith MewCP░░░░░░░░░░░░░░░░░░░░░░░░░░░░4 meta-tools ~1.9k tokens

Built for AI agents

MAIA MCP runs through a gateway that holds the credentials, scopes the access and records every call.

Managed authentication

  • OAuth to MAIA MCP handled end to end, with tokens refreshed before they expire.
  • One credential per end user, not one shared key across your users.
  • Reconnect an account without touching your agent's config.

Credentials stay out of context

  • MAIA MCP credentials are resolved at the gateway and attached to the outbound call.

Ready to connect MAIA MCP?

Managed auth, hosted MCP servers, and every MAIA MCP tool your agent needs.

Free to start.

  • The agent sees tool results, never a token.
  • Revoke an account and the next call stops working — no redeploy.
  • Scoped access, fully logged

    • Choose exactly which MAIA MCP tools an agent is allowed to call.
    • Every call is logged with its outcome, latency and which account it ran as.
    • Catalog changes are reviewed before they ship, so tool descriptions cannot shift under you.

    One endpoint for every server

    • Reach MAIA MCP through the same MCP endpoint as the rest of your toolset.
    • Tools are discovered on demand, so 25 tools do not fill the context window.
    • Stateless: no sessions to keep alive and no reconnect logic.