Use chain-composition-validator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Validates structural and schema integrity for LangChain and LangGraph pipelines.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 3 capabilities
The complete chain-composition-validator capability set.
These are the exact actions your AI can choose when you ask it to work with chain-composition-validator.
01-03
3 capabilities in this set.
Part of 3 available through chain-composition-validator.
- 01
Analyze pipeline integrity
Performs a full structural and logical validation of the entire chain/graph composition
- 02
Find unreachable nodes
Identifies configuration errors where certain steps are defined but cannot be executed within the flow
- 03
Verify schema compatibility
Isolates and validates the data contract between two specific connected steps
Observed, not estimated
819ms average. Fast in production.
chain-composition-validator is checked daily against the live service.
- Fastest day
- 671ms
- Slowest day
- 977ms
- 14-day trend
- Slowing+17%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of chain-composition-validator, so you can see the experience inside your AI.
It does not authenticate your account with chain-composition-validator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
chain-composition-validator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_5uyF3CnCQcwyNcsVCMHmG3thQpk8EJv0AqMzvQzh/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — chain-composition-validator capabilities are ready to use.
{
"mcpServers": {
"chain-composition-validator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_5uyF3CnCQcwyNcsVCMHmG3thQpk8EJv0AqMzvQzh/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions chain-composition-validator owners ask.
- 01
What does this validator prevent?
It prevents runtime crashes caused by incompatible data passing between connected steps in a LangChain or LangGraph pipeline.
- 02
How do I check if my entire graph is connected?
You can use the analyze_pipeline_integrity capability to perform a full structural and logical validation of the entire composition.
- 03
Can I validate specific step connections?
Yes, use verify_schema_compatibility to isolate and validate the data contract between two specific connected steps.
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