Who it is for
Data engineers operating real-time replication between databases and warehouses.
AI Connectors · Developer Tools
Streamkap
Build and monitor change data capture pipelines on Streamkap
Overview
What Streamkap does
Streamkap streams database changes to warehouses and applications using change data capture. Sources named in the listing include PostgreSQL, MySQL, MongoDB, Oracle, SQL Server, and DynamoDB; destinations include Snowflake, Databricks, BigQuery, ClickHouse, and Redshift, with managed Kafka and Flink in between and transforms available in SQL, Python, and JavaScript.
The connector wraps the platform's API so pipelines can be built, monitored, and debugged without opening the dashboard. A hundred and fifty-nine tools are published, which is what wrapping an entire REST API tends to produce. A Streamkap account is required before the endpoint responds.
Tool surface
A hundred and fifty-nine claimed tools is the largest surface in this category by some distance, and none of it was observable, the endpoint requiring an account before it will enumerate anything.
Availability
Where Streamkap is listed
Streamkap is listed in the Claude connectors directory only. Streamkap Inc. has no app under the same domain in the ChatGPT directory; 392 of the 3,150 products here are on both marketplaces, and this is not one of them.
The MCP server behind a Claude connector is usually the same server a ChatGPT app would need, so the absence is a distribution decision rather than a technical one.
Claude listing
In the Claude connectors directory
Streamkap publishes 159 tools to Claude. Only 8 of the 1,253 Claude-listed connectors expose more, one of the widest tool surfaces in the directory.
The median Claude-listed connector filed under Developer Tools publishes 13, so this one runs 146 tools above its bucket's median and ranks 2nd of 95 by tool count.
It falls in the 51+ tools band, which holds 9.6% of the Claude directory.
Streamkap publishes a remote MCP endpoint. Claude connects to it over HTTP; there is nothing to install locally.
Every connector in the Claude directory is remote, all 1,253 of them, so transport is not a differentiator there.
- Publisher
- Streamkap Inc.
- Verification
- Community-listed (61.5% of the Claude directory)
- Filed under
- Developer Tools
- Endpoint
-
https://mcp.streamkap.com/mcp - Documentation
- Publisher setup docs
- Published tools
- 159 · 51+ tools band
- Depth rank in Developer Tools
- 2 of 95
- Snapshot
- August 2026
Streamkap is community-listed in the Claude directory, the tier 770 of 1,253 connectors sit in (61.5%). It is the default for a self-published server, and says nothing either way about quality.
In the publisher's words
How Streamkap Inc. describes it
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."
Quoted from the connector's own Claude directory listing as captured in August 2026. Node8 did not write it and does not vouch for it.
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This is an independent catalogue entry compiled by Node8 from Streamkap's public marketplace listing as it stood in August 2026. Listing facts come from the marketplaces; the comparisons against the rest of the directory and any live-endpoint measurements are Node8's. Node8 is not affiliated with Streamkap Inc., and inclusion here is not an endorsement.
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