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Streamkap

Build, monitor, and troubleshoot real-time CDC pipelines with Claude.

View in the Claude registry
Integration details

Description

Streamkap is the developer platform for real-time data. It uses change data capture (CDC) to stream changes from your databases to apps, warehouses, and AI agents the moment they happen. This connector wraps the Streamkap API as MCP tools so you can operate your data infrastructure in natural language - no dashboard required. Connect operational databases (PostgreSQL, MySQL, MongoDB, Oracle, SQL Server, DynamoDB, and more) to warehouses, lakes, and analytics destinations (Snowflake, Databricks, BigQuery, ClickHouse, Redshift, and more), with managed Kafka and Flink plus SQL, Python, and JS transforms in between. Streamkap is the developer platform for real-time data. It uses change data capture (CDC) to stream changes from your databases to apps, warehouses, and AI agents the moment they happen. This connector wraps the Streamkap API as MCP tools so you can operate your data infrastructure in natural language — no dashboard required. Connect operational databases (PostgreSQL, MySQL, MongoDB, Oracle, SQL Server, DynamoDB, and more) to warehouses, lakes, and analytics destinations (Snowflake, Databricks, BigQuery, ClickHouse, Redshift, and more), with managed Kafka and Flink plus SQL, Python, and JS transforms in between. Ask Claude to: - Check pipeline health - "Which pipelines are failing, and what are their latest errors?" - Build a pipeline - "Connect my Postgres orders table to Snowflake with incremental updates." - Diagnose latency - "End-to-end lag on prod-events jumped this morning. What changed?" - Triage dead-letter queues - "Find every DLQ with messages in the last hour, group by error class, and suggest fixes." - Inspect data and schemas - "Read 10 recent messages from a topic and decode them with the registry."

Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Data & Analytics

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Enterprise Data Connectors & MCP Gateways

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Account required
First tracked
2026-06-19
Tool count
45
Geography
US

Claude Discoverability Score

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Primary Subcategory
23 scoredVerified connectors by score · Community connectors A–Z
Primary Subcategory
1Salesforce - Beta100/100
2HubSpot95/100
3PlanetScale68/100
4Neon63/100
5Supabase58/100
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Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
Tools

45 tools agents can invoke

Streamkap FAQ
How do I improve a Community connector's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Streamkap alternatives on Claude?

As of 2026-09-28, Streamkap competes with Salesforce - Beta, HubSpot, PlanetScale, Neon, Supabase, Zoho CRM, Snowflake, Metabase, Attio, ClickHouse, Google Cloud BigQuery, Pipedrive, Nutshell CRM, PostHog, Salesflare, CData Connect AI, Jentic, Links Connect, MuleSoft, Natoma, Planning Center, ServiceNow, Starburst, AFAS AI Connect, by iWebDevelopment, Aphex, Artie, Cargo, Commercient Data Lake \ Data Hub, Companion.energy, DataDiscourse.ai, DataSelf MCP+, Dincer Logistics, Druva MCP, Exact Online AI Connect, by iWebDevelopment, Extract, GlacierGrid, InternetData, Loopthink, mcp.storage.dev, mcpMyAdmin, miniOrange MCP for Magento, MyCoach Pro, OasisLMS Nexus, OpsLevel, Peaka, Query Streams, Redox, Trustgrid MCP, Weld, Well, Zight MCP in Claude Enterprise Data Connectors & MCP Gateways, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.