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Search 1C configuration metadata graphs and code with a built-in AI agent.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "1C Metacode MCP" yet — see the docs or source repo.
Search the 1C configuration code for modules, procedures, and references related to “inventory posting,” and list the results by relevance.
Returns relevant code locations, object names, and possible reference links for that business topic.
Using the metadata graph, find the main documents, catalogs, or processing logic connected to the “sales order” object and explain their relationships.
Provides related metadata objects and their connections to help understand the configuration structure.
Help me find code and metadata nodes related to “price calculation” in the 1C configuration, and summarize possible implementation entry points.
Outputs search results for related code and nodes, plus suggested entry points for further investigation.
When developers inherit an unfamiliar 1C configuration, they can search the metadata graph and code to quickly locate key objects and implementation logic.
When teams need to determine where a business feature is implemented, they can use the built-in AI agent for semantic search and relationship exploration.
When analyzing how objects relate inside a 1C configuration, it helps users inspect related nodes and connection clues across the metadata graph.
It is an MCP server with a built-in AI agent for searching metadata graphs and code in 1C configurations.
Based on the provided information, it is mainly for searching metadata graphs and code within 1C configurations. For more detailed capability boundaries, see the source repository.
No installation steps, runtime requirements, or key information were provided here; see the source repository.
Search and analyze 1C metadata and BSL code with natural language.
Search 1C Enterprise configuration docs in natural language to find key objects.
Search 1C:Enterprise source, metadata, procedures, and modules with full-text indexing.
Proxy MCP to JSON-RPC for AI-driven 1C task, project, knowledge, and file management.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.