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socrata-mcp-server

@cyanheadsMCP server · External

Search and query government open-data portals (Socrata SODA API).

Government open datav0.4.0Apache-2.0TypeScript
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What it does

6 read

Grouped by tool name. At most: moves money, runs code or commands, deletes data, or sends messages for you.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Tools

6 · grouped by tool name · checked 23 Oct 2026

Read · 6Look things up

  • socrata_find_datasets
  • socrata_get_dataset
  • socrata_query_dataset
  • socrata_list_portals
  • socrata_dataframe_describe
  • socrata_dataframe_query
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README12 min read

@cyanheads/socrata-mcp-server

Search and query government open-data portals (Socrata SODA API) via MCP. STDIO or Streamable HTTP.

7 Tools • 2 Resources • 1 Prompt

Version License Docker MCP SDK npm TypeScript Bun

Install in Claude Desktop Install in Cursor Install in VS Code

Framework

Public Hosted Server: https://socrata.caseyjhand.com/mcp


Overview

Query city, county, state, and federal open-data portals built on Socrata. Discover portals and datasets, inspect column schemas, and run SoQL queries, or SQL over large result sets.

Tools

ToolDescription
socrata_list_portalsList known Socrata-powered government open-data portals with domain, organization name, and approximate dataset count
socrata_find_datasetsSearch for datasets across all Socrata portals or scope to one portal via the Discovery API
socrata_get_datasetFetch full metadata and typed column schema for a dataset by ID — required before writing SoQL queries
socrata_query_datasetExecute a SoQL query against any dataset: search, select, where, group, having, order, with DataCanvas spillover
socrata_dataframe_describeList registered tables in a DataCanvas session — schema, row count, column names
socrata_dataframe_queryRun SELECT-only SQL against DataCanvas tables populated by socrata_query_dataset
socrata_dataframe_dropDrop a DataCanvas canvas, or one table on it — opt-in via SOCRATA_DATAFRAME_DROP_ENABLED=true

Resources

ResourceDescription
socrata://datasets/{domain}/{datasetId}Fetch full metadata and column schema for a dataset by stable URI — same payload as socrata_get_dataset
socrata://portalsPaginated list of known Socrata portals with organization name and approximate dataset count

All resource data is also reachable via tools. Use the corresponding tool for agent workflows — resources are for clients that support URI-addressable data.

Prompts

PromptDescription
explore_open_dataStructured six-step civic data investigation workflow: find portal → discover datasets → inspect schema → query → aggregate → synthesize

Capability reference

socrata_list_portals tool

  • Curated catalog of 39 well-known city, county, state, and federal portals — every member verified live in the Discovery catalog
  • Per-portal dataset counts fetched live from the Discovery API, cached ~24 hours (0 means the portal exposes no dataset assets to the catalog; null means the count is temporarily unavailable)
  • Client-side substring filtering on domain or organization name; pagination up to 200 per page with offset
  • Returns domain (pass to socrata_find_datasets), organization name, and approximate dataset count; the count includes datasets a portal federates from another Socrata tenant (Austin, Illinois, Mesa, and San Francisco publish through a data hub; Seattle catalogs under a sibling tenant)
  • Never fails on an upstream error — a count that cannot be fetched comes back null and the listing still returns

socrata_find_datasets tool

  • Full-text query across dataset names/descriptions; scope with domain, filter by categories/tags, restrict only to an asset type (datasets, maps, files, calendars, stories)
  • Sort by relevance, page views, created date, or updated date; up to 100 per page with offset pagination
  • Returns dataset IDs, names, domains, tags, update timestamps, and column_names — the API field names SoQL takes (cuisine_description, not the display label CUISINE DESCRIPTION), computed-region columns dropped — call socrata_get_dataset for typed schema before writing queries
  • Recovery hints on empty results — echoes applied filters and suggests how to broaden
  • domain takes a bare hostname; URL forms (https://data.cdc.gov/) are reduced to the host. A scoped search covers every dataset the portal publishes, including ones federated from another Socrata tenant, reported under the portal's own domain
  • Typed errors: rate_limited (retryable) when the Discovery API returns 429, unknown_domain when the Discovery catalog does not index the domain, invalid_domain when the domain is not a hostname

socrata_get_dataset tool

  • Returns field names, Socrata data types, descriptions, row count (with row_count_source provenance), and licensing when available
  • Column data_type determines WHERE clause syntax: Number → bare literals (year=2023), Text → single-quoted strings (year='2023')
  • Excludes computed region columns (:@computed_region_*) to reduce noise; includes per-column non-null counts when available
  • Dataset IDs are portal-scoped — pass the domain from the same socrata_find_datasets result; URL-form domains are reduced to the host
  • Typed errors: invalid_id (malformed four-by-four ID), not_found (no such dataset on the domain queried — the message names the ID and domain, and the recovery names the portal that holds the ID when the Discovery catalog knows it), unknown_domain (the domain is not serving the Socrata API — it does not resolve, is not a Socrata portal, or redirects elsewhere; fails on the first attempt), invalid_domain (not a hostname), rate_limited (retryable; honors the upstream Retry-After)
  • Always call before writing a socrata_query_dataset WHERE clause

socrata_query_dataset tool

  • search for quick full-text lookup ($q), or combine select/where/group/having/order for full analytical control — clauses reference columns by API field name (field_name from socrata_get_dataset), never the display label; operators =, !=, >, <, LIKE, IN(...), BETWEEN, IS NULL, starts_with(), contains(), AND, OR, NOT
  • Aggregation via count(*), sum(), avg(), min(), max() with group/having
  • not_tabular identifies assets without queryable rows; search with only: "datasets". query_rejected identifies a gateway refusal of query clauses when a bare row request succeeds; simplify the query and use SoQL case(condition, value, true, fallback) for conditional aggregates.
  • Up to 5000 rows per call with offset pagination; total_count returned when a plain row query is truncated (absent for grouped/aggregate queries)
  • assembled_query echoes the SoQL string for learning the syntax; all SODA 2.1 row values are strings except geo/location columns, which return nested objects
  • When CANVAS_PROVIDER_TYPE=duckdb and the page fills limit, up to 50,000 matching rows spill to a DataCanvas table whatever the limit (canvas_id, table_name, canvas_row_count) — list its columns with socrata_dataframe_describe, then run SQL with socrata_dataframe_query. A small limit (e.g. 10) stages a large match without a large inline page
  • Typed errors: not_tabular, query_rejected, invalid_id, not_found (names the ID, the domain queried, and the portal holding the ID when known), unknown_domain, invalid_domain, soql_error (bad SoQL, unknown column, or type mismatch — carries the upstream socrataCode and, when upstream names it, the offending column; the recovery hint matches the code: API field names for a parse error, both fixes for an unknown identifier, the quoting rule for a type mismatch), rate_limited (retryable; honors the upstream Retry-After)

socrata_dataframe_describe tool

  • Requires canvas_id from a prior socrata_query_dataset spill — canvases cannot be enumerated, so omitting it fails with canvas_id_required rather than listing tables
  • Shows table name, row count, and DuckDB column types for each registered table (SODA number → DOUBLE)
  • Only meaningful when CANVAS_PROVIDER_TYPE=duckdb is set
  • Typed errors: canvas_id_required, canvas_not_found (expired or unknown token — re-run socrata_query_dataset to stage a fresh canvas)

socrata_dataframe_query tool

  • SELECT-only SQL against a canvas_id table staged by socrata_query_dataset; DDL, DML, file references, file-reading functions, and engine-setting functions (current_schema, current_setting) are rejected. Use direct table references instead of query_table; query() accepts only a single SQL string literal. Qualify a staged column named current_schema with its table (t.current_schema).
  • Spilled columns are typed from the SODA response headers: number columns (aggregate aliases included) are DOUBLE, so numeric comparisons work without a cast (year > 2020, amount < 500); text and timestamp columns stay VARCHAR — compare times with CAST(date AS TIMESTAMP)
  • Up to 10,000 rows per call, default 1000
  • Typed errors: canvas_disabled (CANVAS_PROVIDER_TYPE=none), canvas_not_found, table_not_found, sql_rejected (non-SELECT, system catalog access, or a denied function)
  • Works out of the box — DuckDB ships as a regular dependency and is enabled by default; CANVAS_PROVIDER_TYPE=none disables it

socrata_dataframe_drop tool

  • Opt-in: omitted from the tool list until SOCRATA_DATAFRAME_DROP_ENABLED=true; also needs CANVAS_PROVIDER_TYPE=duckdb
  • Without table_name, drops the whole canvas — its canvas_id stops resolving for socrata_dataframe_describe and socrata_dataframe_query. With table_name, drops that one table and leaves the canvas and its other tables in place
  • Reports the dropped tables with their row counts and the tables still on the canvas
  • Deletes only the staged copy — socrata_query_dataset can stage the data again
  • Typed errors: canvas_disabled (CANVAS_PROVIDER_TYPE=none), canvas_not_found (unknown, expired, or already dropped), table_not_found (carries the canvas's availableTables)

socrata://datasets/{domain}/{datasetId} resource

  • Returns the same payload as socrata_get_dataset — field names, data types, descriptions, row count, licensing
  • domain and datasetId come from socrata_find_datasets; datasetId must match the four-by-four pattern (e.g. kzjm-xkqj)
  • Fails validation on a malformed ID, and not-found when the dataset doesn't exist on the domain (naming the portal that holds the ID when the Discovery catalog knows it)

socrata://portals resource

  • Curated catalog of 39 known Socrata portals, cursor-paginated (cursor param, default 50 per page, capped at 200)
  • Returns domain, organization name, and approximate dataset count (0 = no dataset assets, null = temporarily unavailable), cached ~24 hours
  • Pass domain to socrata_find_datasets to scope a search to one portal

explore_open_data prompt

  • Arguments: topic required; portal and geography optional to skip discovery or scope WHERE clauses
  • Returns one user message walking a six-step workflow: find portal → discover datasets → inspect schema → query → aggregate → synthesize

Features

Built on @cyanheads/mcp-ts-core: stdio and Streamable HTTP transports, pluggable auth (none / jwt / oauth), swappable storage (in-memory, filesystem, Supabase, Cloudflare KV/R2/D1), structured logging with optional OpenTelemetry tracing.

Socrata-specific:

  • Full Socrata SODA 2.1 API integration — SoQL query builder with select, where, group, having, order, search, limit, offset
  • Discovery API for cross-portal dataset search and per-portal dataset counts (curated 39-portal catalog, counts cached ~24h)
  • App token support (SOCRATA_APP_TOKEN) for higher per-IP rate limits
  • Configurable default portal domain via SOCRATA_DEFAULT_DOMAIN
  • DataCanvas spillover (DuckDB, bundled) — large query results register as SQL tables for analytical queries

Agent-friendly output:

  • Assembled SoQL string echoed in every socrata_query_dataset response so agents can learn and refine syntax
  • Recovery hints on empty results — echoes applied filters with specific suggestions for broadening
  • Truncation disclosure — truncated/shown/cap fields when rows fill the limit, with guidance to page or raise the limit, naming the staged table and both dataframe tools when the result spilled
  • Typed error reasons across every tool (invalid_id, not_found, not_tabular, query_rejected, unknown_domain, invalid_domain, soql_error, rate_limited, canvas_id_required, canvas_not_found, table_not_found, sql_rejected, canvas_disabled) with actionable recovery text

Getting started

Add the following to your MCP client configuration file.

Public Hosted Instance

A public instance is available at https://socrata.caseyjhand.com/mcp — no installation required. It serves Streamable HTTP; each client takes its own config shape.

For Claude Code:

sh
claude mcp add --transport http socrata-mcp-server https://socrata.caseyjhand.com/mcp

For Cline (cline_mcp_settings.json):

json
{
  "mcpServers": {
    "socrata-mcp-server": {
      "type": "streamableHttp",
      "url": "https://socrata.caseyjhand.com/mcp"
    }
  }
}

For Cursor (mcp.json):

json
{
  "mcpServers": {
    "socrata-mcp-server": {
      "url": "https://socrata.caseyjhand.com/mcp"
    }
  }
}

Claude Desktop adds remote servers under Settings → Connectors.

Self-Hosted / Local

json
{
  "mcpServers": {
    "socrata-mcp-server": {
      "type": "stdio",
      "command": "bunx",
      "args": ["@cyanheads/socrata-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with npx (no Bun required):

json
{
  "mcpServers": {
    "socrata-mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@cyanheads/socrata-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with Docker:

json
{
  "mcpServers": {
    "socrata-mcp-server": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "MCP_TRANSPORT_TYPE=stdio",
        "ghcr.io/cyanheads/socrata-mcp-server:latest"
      ]
    }
  }
}

For Streamable HTTP, set the transport and start the server:

sh
MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 bun run start:http
# Server listens at http://localhost:3010/mcp

Prerequisites

  • Bun v1.4.0 or higher (or Node.js v24+).
  • Optional: A Socrata app token — register for free at any portal (e.g. data.seattle.gov) to get higher rate limits (10 req/s per token vs. shared throttled pool without one).

Installation

  1. Clone the repository:
sh
git clone https://github.com/cyanheads/socrata-mcp-server.git
  1. Navigate into the directory:
sh
cd socrata-mcp-server
  1. Install dependencies:
sh
bun install
  1. Configure environment:
sh
cp .env.example .env
# edit .env and set SOCRATA_APP_TOKEN if you have one

Configuration

All configuration is validated at startup via Zod schemas in src/config/server-config.ts. Key environment variables:

VariableDescriptionDefault
SOCRATA_APP_TOKENSocrata app token (X-App-Token header). Without a token, requests share a throttled pool per source IP.—
SOCRATA_DEFAULT_DOMAINDefault portal domain when domain is omitted from tool calls.data.seattle.gov
MCP_TRANSPORT_TYPETransport: stdio or http.stdio
MCP_HTTP_PORTPort for HTTP server.3010
MCP_SESSION_MODESession handling: stateful, stateless, or auto (schema default auto resolves to stateful). This server sets it explicitly to stateless.stateless
MCP_AUTH_MODEAuth mode: none, jwt, or oauth.none
MCP_LOG_LEVELLog level (RFC 5424): debug, info, notice, warning, error.info
CANVAS_PROVIDER_TYPEDataCanvas spillover for large result sets; none disables it. DuckDB ships with the server — no additional install required.duckdb
SOCRATA_DATAFRAME_DROP_ENABLEDSet to true to enable socrata_dataframe_drop. Off, the tool is omitted from the tool list.false
LOGS_DIRDirectory for log files (Node.js only).<project-root>/logs
STORAGE_PROVIDER_TYPEStorage backend: in-memory, filesystem, supabase, cloudflare-kv/r2/d1.in-memory
OTEL_ENABLEDEnable OpenTelemetry instrumentation.false
LOG_TOOL_FAILURE_PAYLOADSLog each failed tool call's arguments and result (key-name redaction only).false

See .env.example for the full list of optional overrides.

Running the server

Local development

  • Build and run:

    sh
    # One-time build
    bun run rebuild
    
    # Run the built server
    bun run start:stdio
    # or
    bun run start:http
    
  • Run checks and tests:

    sh
    bun run devcheck   # Lint, format, typecheck, security audit
    bun run test       # Vitest test suite
    

Docker

sh
docker build -t socrata-mcp-server .
docker run --rm -e MCP_TRANSPORT_TYPE=http -p 3010:3010 socrata-mcp-server

The Dockerfile defaults to HTTP transport, stateless session mode, and logs to /var/log/socrata-mcp-server. OpenTelemetry peer dependencies are installed by default — build with --build-arg OTEL_ENABLED=false to omit them.

Project structure

DirectoryPurpose
src/index.tscreateApp() entry point — registers tools, resources, prompts, and inits the Socrata service.
src/configServer-specific environment variable parsing and validation with Zod.
src/mcp-server/toolsTool definitions (*.tool.ts). Seven tools covering portal listing, dataset search, schema fetch, SoQL query, and DataCanvas SQL and cleanup.
src/mcp-server/resourcesResource definitions (*.resource.ts). Dataset metadata and portal catalog resources.
src/mcp-server/promptsPrompt definitions (*.prompt.ts). Civic data investigation workflow prompt.
src/services/socrataSocrata service layer — SODA 2.1 API client, Discovery API, query builder, type normalization.
tests/Unit and integration tests mirroring src/.

Development guide

See CLAUDE.md for development guidelines and architectural rules. The short version:

  • Handlers throw, framework catches — no try/catch in tool logic
  • Use ctx.log for request-scoped logging, ctx.state for tenant-scoped storage
  • Call socrata_get_dataset before writing WHERE clauses — field_name is what SoQL references and column data_type determines quoting
  • Wrap external API calls: validate raw → normalize to domain type → return output schema; never fabricate missing fields

Contributing

Issues are welcome. Run checks and tests before submitting:

sh
bun run devcheck
bun run test

License

Apache-2.0 — see LICENSE for details.

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