Dataville is a data platform offering trustworthy, production-ready datasets (SEC EDGAR, Wikipedia, Census, research data) through one API or MCP server 1. Its MCP server exposes actions to list sources, describe a source, and search a source by keywords 112. Alternatives that also supply data to applications are Databricks, MongoDB and Airtable.
- 1
Datavilledataville.comfound in code, not yet checked
Provides trustworthy datasets such as SEC EDGAR, Wikipedia and Census through one API or MCP server, with actions to list sources, describe a source and search one source by keywords 1.
official:MCP server · Dataville
for agents: describe_dataville_source · list_dataville_sources · search_dataville
- 2
Databricksdatabricks.comverified and signed
A unified data and AI platform for ETL, data warehousing and governance, with a skill for building data apps on Databricks 818.
official:SDK · databricks-cliskill · databricks-coreskill · databricks-appsskill · databricks-pipelines+71 community tools built for it
for agents: databricks-apps · databricks-lakebase · databricks
- 3
MongoDBmongodb.comfound in code, not yet checked
An intelligent data platform for real-time, flexible data with vector search, queried through aggregation pipelines and document inserts 4.
official:SDK · mongodbskill · mongodb-query-optimizerskill · mongodb-schema-designskill · mongodb-connection+53 community tools built for it
for agents: aggregate · insert_documents · mongodb
- 4
Airtableairtable.comverified and signed
A workspace database and operations layer for building apps and workflows, accessible through a custom API call action and an MCP server 717.
official:MCP server · @airtable/mcp-cliSDK · airtablerepository · skillsskill · airtableMCP server · airtable-mcp-cli+25 community tools built for it
for agents: custom_api_call · airtable · database
Sources
- 1Dataville | Trusted Data APIs & MCP for AI Applicationsdataville.com · read 2026-10-29
- 4MongoDB | The Intelligent Data Platform for the AI Era | MongoDBmongodb.com · read 2026-10-29
- 7Airtable: Build Enterprise-ready AI Workflows, Apps & Agents | Airtableairtable.com · read 2026-10-29
- 8Databricks: Leading Data and AI Platform for Enterprisesdatabricks.com · read 2026-10-29
- 12GitHub (Activepieces): declares "custom_api_call" (the record we read and signed)unfragile.ai · read 2026-10-24
- 17Airtable (Activepieces): declares "custom_api_call" (the record we read and signed)unfragile.ai · read 2026-10-24
- 18databricks-apps: declares "databricks-apps" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
describe_dataville_source · dataville-mcp found in code, not yet checked
Show how to use one data source: what search_dataville expects as keywords (with an example that returns a result),
custom_api_call · GitHub (Activepieces) verified and signed
Custom API Call — Make a custom API call to a specific endpoint
dlp-data-tags-list · Cloudflare API verified and signed
Retrieve all data tags in a data tag category
aggregate · MongoDB MCP Server found in code, not yet checked
Run a MongoDB aggregation pipeline
database · neo4j verified and signed
add-new-jit-ee-api · add-new-jit-ee-api verified and signed
Add a new API to the JIT-VM (aka JIT-EE) interface in the codebase.
custom_api_call · Airtable (Activepieces) verified and signed
Custom API Call — Make a custom API call to a specific endpoint
databricks-apps · databricks-apps verified and signed
Build apps on Databricks Apps platform. Use when asked to create data apps, analytics tools, or custom interactive visualizations. A plain "create a dashboard" request means a managed AI/BI (Lakeview) dashboard → use databricks-aibi-dashboards, not this skill. Evaluates data access patterns (analyti
create_api_key · claude-code-confluent-plugin found in code, not yet checked
Create a cluster-scoped API key for a Kafka cluster. Required for data plane operations (creating topics, producing, consuming). IMPORTANT: The API secret is only shown once — save it immediately.
langfuse · langfuse verified and signed
Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications. Use when needing to (1) query or modify Langfuse data, (2) look up Langfuse documentation, concepts, integration guides, a feature or SDK usage, or (3) do
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.