chain-composition-validator

chain-composition-validator MCP Connector for Claude

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Validates structural and schema integrity for LangChain and LangGraph pipelines.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides tools to ensure that LangChain Chains and LangGraph StateGraphs are logically sound and structurally connected. It prevents runtime failures by verifying that data contracts between steps are respected. Use analyze_pipeline_integrity to perform a full structural check, verify_schema_compatibility to validate specific data contracts between two steps, or find_unreachable_nodes to identify orphaned or disconnected steps in your graph.

langchainlanggraphvalidationschemagraph-theory

3 tools expose this connector's capabilities to your AI agent.

verify_schema_compatibility

Isolates and validates the data contract between two specific connected steps

analyze_pipeline_integrity

Performs a full structural and logical validation of the entire chain/graph composition

find_unreachable_nodes

Identifies configuration errors where certain steps are defined but cannot be executed within the flow

See how to talk to your AI agent using chain-composition-validator.

Check if my LangGraph pipeline is valid.

The pipeline is valid. All steps are reachable and schemas match perfectly.

Are there any disconnected steps in my chain?

Yes, step 'process_data_02' is unreachable from the entry point.

Verify the schema between step A and step B.

The connection is incompatible. Step B requires a field 'user_id' which is missing from Step A's output.

It prevents runtime crashes caused by incompatible data passing between connected steps in a LangChain or LangGraph pipeline.

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