The request names "sparks-re-api", which does not appear among the candidate products, and none of the sources describe it. Without knowing whether you mean a specific Spark-related API, a Neo4j Spark connector, or something else, I cannot confirm a match; the closest general-purpose options with API doors are listed below.
A question back: Which product or API do you mean by "sparks-re-api" (for example a Spark connector, a Neo4j Spark API, or another service)?
- 1
Dockerdocker.comverified and signed
Docker Sandboxes provide isolated runtimes for running AI agents and containers, with an official CLI 6.
official:MCP server · @aws/run-mcp-servers-with-aws-lambdaSDK · dockerlibrary · aws-smithy-observabilityCLI · dockerrepository · automated-security-helper+190 community tools built for it
for agents: neo4j-spark-skill · HITS · neo4j-aura-agent-skill
- 2
Supabasesupabase.comverified and signed
Supabase provides a Postgres development platform with instant APIs, authentication and realtime features, with an official SDK 5.
official:SDK · @supabase/auth-jslibrary · Supabase CLI ActionCLI · supabasepackage · Supabaserepository · supabase+106 community tools built for it
for agents: custom_api_call · create_task · vitest
- 3
Microsoftmicrosoft.comfound in code, not yet checked
Microsoft offers the markitdown SDK and the Playwright MCP Server for connecting tools to AI agents 2.
official:MCP server · Playwright MCP ServerSDK · markitdownlibrary · windows-sysCLI · playwright-mcppackage · Azure DevOps (ADO)+151 community tools built for it
for agents: get_environment_spark_compute · add-new-jit-ee-api · REST
Sources
- 2Microsoft – AI, Cloud, Productivity, Computing, Gaming & Appsmicrosoft.com · read 2026-10-29
- 5Supabase | The Postgres Development Platformsupabase.com · read 2026-10-29
- 6Docker | Secure Sandboxes for AI Agentsdocker.com · read 2026-10-29
For agents: the 10 actions behind this answer
integrate-context-matic · integrate-context-matic verified and signed
Discovers and integrates third-party APIs using the context-matic MCP server. Uses `fetch_api` to find available API SDKs, `ask` for integration guidance, `model_search` and `endpoint_search` for SDK details. Use when the user asks to integrate a third-party API, add an API client, implement feature
get_environment_spark_compute · fabric-toolbox found in code, not yet checked
api · aws-xray-sdk-core verified and signed
api · @openai/codex-sdk verified and signed
custom_api_call · Supabase (Activepieces) verified and signed
Custom API Call — Make a custom API call to a specific endpoint
neo4j-spark-skill · neo4j-spark-skill verified and signed
Use when reading from or writing to Neo4j with Apache Spark or Databricks using the Neo4j Connector for Apache Spark 6.0 (org.neo4j.connectors:spark) or 5.x (org.neo4j:neo4j-connector-apache-spark). Covers SparkSession setup, DataFrame reads via labels/Cypher/relationship scan, DataFrame writes with
rest · @shopify/shopify-api verified and signed
huggingface-inference-api · @huggingface/inference verified and signed
cws-create-rego-module · Cloudflare API verified and signed
Create a new Rego module
pixray/api · pixray/api verified and signed
bare pixray for API use
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.