---

Tools

Six tools covering the full Socrata workflow — portal discovery, dataset search, schema inspection, SoQL querying, and DuckDB-powered analytical SQL over large result sets:

Tool	Description
socrata_list_portals	List known Socrata-powered government open-data portals with domain, organization name, and dataset count
socrata_find_datasets	Search for datasets across all Socrata portals or scope to one portal via the Discovery API
socrata_get_dataset	Fetch full metadata and typed column schema for a dataset by ID — required before writing SoQL queries
socrata_query_dataset	Execute a SoQL query against any dataset: search, select, where, group, having, order, with DataCanvas spillover
socrata_dataframe_describe	List registered tables in a DataCanvas session — schema, row count, column names
socrata_dataframe_query	Run SELECT-only SQL against DataCanvas tables populated by socrata_query_dataset

socrata_list_portals

List known Socrata-powered government open-data portals.

• Backed by the Discovery API domains catalog — hundreds of city, county, state, and federal portals
• 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 dataset count
• Use this first when you don't know which portal to target

---

socrata_find_datasets

Search for datasets across all Socrata portals or scope to a single portal.

• Full-text search across dataset names and descriptions
• Scope to a single portal with the domain parameter
• Filter by category (e.g. ["Public Safety", "Transportation"]) and tags (e.g. ["covid19"])
• Asset type filtering: datasets, maps, files, calendars, stories
• Sort by relevance, page views, created date, or updated date
• Pagination (up to 100 per page) with offset
• Returns dataset IDs, names, abbreviated column previews, domains, and update timestamps
• Column names here are preview-only — call socrata_get_dataset for typed schema before writing queries
• Recovery hints on empty results — echoes applied filters and suggests how to broaden

---

socrata_get_dataset

Fetch full metadata and column schema for a Socrata dataset by ID.

• Returns field names, Socrata data types, descriptions, row count, and licensing
• Column data_type determines correct WHERE clause syntax: Number → bare literals (year=2023), Text → single-quoted strings (year='2023')
• Excludes computed region columns (:@computed_region_*) to reduce noise
• Per-column non-null row counts when available
• Always call this before writing a socrata_query_dataset query

---

socrata_query_dataset

Execute a SoQL query against any dataset on any Socrata portal.

• search parameter for quick full-text lookup across all text columns ($q)
• select, where, group, having, order for full analytical control
• SoQL operators: =, !=, >, <, LIKE, IN(...), BETWEEN, IS NULL, starts_with(), contains(), AND, OR, NOT
• Aggregation: count(*), sum(), avg(), min(), max() with group and having
• Pagination up to 5000 rows per call with offset; total_count returned when result is truncated
• assembled_query in the response echoes the SoQL string for learning the syntax
• All SODA 2.1 row values are strings — geo/location columns return nested objects
• When CANVAS_PROVIDER_TYPE=duckdb and result hits the limit, rows spill to a DataCanvas table for SQL-based analysis

---

socrata_dataframe_describe

List registered tables in a DataCanvas session.

• Shows table name, row count, and DuckDB-inferred column types for each registered table
• Only meaningful when CANVAS_PROVIDER_TYPE=duckdb is set
• Use after socrata_query_dataset spills a large result set
• Returns canvas ID for use in socrata_dataframe_query

---

socrata_dataframe_query

Run SELECT-only SQL against DataCanvas tables populated by socrata_query_dataset.

• DuckDB infers types from spilled data — numeric columns that SODA returned as strings become queryable with numeric comparisons (year > 2020, amount < 500)
• SELECT-only enforcement: DDL, DML, and file-reading functions (read_csv, read_parquet) are rejected
• Up to 10,000 rows per call
• Only works when CANVAS_PROVIDER_TYPE=duckdb is set

Resources and prompts

Type	Name	Description
Resource	socrata://datasets/{domain}/{datasetId}	Fetch full metadata and column schema for a dataset by stable URI — same payload as socrata_get_dataset
Resource	socrata://portals	Paginated list of known Socrata portals with organization name and dataset count
Prompt	explore_open_data	Structured six-step civic data investigation workflow: find portal → discover datasets → inspect schema → query → aggregate → synthesize

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

Features

Built on @cyanheads/mcp-ts-core:

• Declarative tool, resource, and prompt definitions — single file per primitive, framework handles registration and validation
• Unified error handling — handlers throw, framework catches, classifies, and formats
• Pluggable auth: none, jwt, oauth
• Swappable storage backends: in-memory, filesystem, Supabase, Cloudflare KV/R2/D1
• Structured logging with optional OpenTelemetry tracing
• STDIO and Streamable HTTP transports
• Optional DataCanvas (DuckDB) for analytical SQL over large result sets

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 portal catalog
• App token support (SOCRATA_APP_TOKEN) for higher per-IP rate limits
• Configurable default portal domain via SOCRATA_DEFAULT_DOMAIN
• Computed region column filtering to reduce noise in wide datasets
• DataCanvas spillover — large query results automatically register as DuckDB tables for SQL analysis

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
• Column type context embedded in schema output with WHERE-clause quoting rules stated explicitly
• Per-item structured error reasons (invalid_id, not_found, soql_error, rate_limited) with actionable recovery text

Getting started

Add the following to your MCP client configuration file.

{
  "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):

{
  "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:

{
  "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:

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

Prerequisites

• Bun v1.3.0 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:

git clone https://github.com/cyanheads/socrata-mcp-server.git

2. Navigate into the directory:

cd socrata-mcp-server

3. Install dependencies:

bun install

4. Configure environment:

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:

Variable	Description	Default
SOCRATA_APP_TOKEN	Socrata app token (X-App-Token header). Without a token, requests share a throttled pool per source IP.	—
SOCRATA_DEFAULT_DOMAIN	Default portal domain when domain is omitted from tool calls.	data.seattle.gov
MCP_TRANSPORT_TYPE	Transport: stdio or http.	stdio
MCP_HTTP_PORT	Port for HTTP server.	3010
MCP_AUTH_MODE	Auth mode: none, jwt, or oauth.	none
MCP_LOG_LEVEL	Log level (RFC 5424): debug, info, notice, warning, error.	info
CANVAS_PROVIDER_TYPE	Set to duckdb to enable DataCanvas spillover for large result sets.	—
LOGS_DIR	Directory for log files (Node.js only).	<project-root>/logs
STORAGE_PROVIDER_TYPE	Storage backend: in-memory, filesystem, supabase, cloudflare-kv/r2/d1.	in-memory
OTEL_ENABLED	Enable OpenTelemetry instrumentation.	false

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

Running the server

Local development

• Build and run:

  # One-time build
  bun run rebuild
  
  # Run the built server
  bun run start:stdio
  # or
  bun run start:http
  

• Run checks and tests:

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

Docker

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

Directory	Purpose
src/index.ts	createApp() entry point — registers tools, resources, prompts, and inits the Socrata service.
src/config	Server-specific environment variable parsing and validation with Zod.
src/mcp-server/tools	Tool definitions (*.tool.ts). Six tools covering portal listing, dataset search, schema fetch, SoQL query, and DataCanvas SQL.
src/mcp-server/resources	Resource definitions (*.resource.ts). Dataset metadata and portal catalog resources.
src/mcp-server/prompts	Prompt definitions (*.prompt.ts). Civic data investigation workflow prompt.
src/services/socrata	Socrata 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 — column data_type determines quoting
• Wrap external API calls: validate raw → normalize to domain type → return output schema; never fabricate missing fields

Contributing

Issues and pull requests are welcome. Run checks and tests before submitting:

bun run devcheck
bun run test

License

Apache-2.0 — see LICENSE for details.