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Serve a live code-graph workbench for Cypher-based codebase analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codingest-mcp" yet — see the docs or source repo.
Use codingest-mcp to run a Cypher query on the current codebase and find classes, functions, or modules directly related to UserService, then organize the results by dependency direction.
A structured list of code-graph nodes and relationships related to UserService, with dependency explanations.
Use codingest-mcp to analyze upstream and downstream relationships of the Payment module in the codebase so I can assess what components may be affected by changes.
An overview of Payment module relationships, connected components, and potentially impacted code areas.
Using codingest-mcp's code-graph capabilities, summarize the main module structure of the current project and identify key nodes worth deeper inspection.
A high-level summary of the codebase structure and suggested modules or nodes to inspect first.
Developers using an MCP-compatible client or agent can access a live code-graph workbench to run queries and inspect codebase structure. It is useful for tracing dependencies and understanding module relationships.
When a team needs to inspect relationships among classes, functions, or modules as a graph, this tool can run Cypher queries. This is especially helpful for analyzing connections in complex codebases.
It is an MCP tool that serves a live code-graph workbench over stdio for MCP clients or agents, supporting Cypher queries and codebase analysis via KGLite tools.
Based on the provided description, it is served over stdio for MCP clients or agents. Installation and configuration details are not provided here; see the source repository.
Known capabilities include running Cypher queries and analyzing a codebase through a code graph. More specific analysis types are not described in the provided material.
Query code structure and cross-language relationships via MCP with auditable access logs.
Provide structured code context and dependency graphs for efficient codebase understanding.
Index codebases into a searchable graph for structure, calls, and routes.
Build and query a codebase knowledge graph with relationships and rationale.
Semantic code graph search for coding agents to understand structure and dependencies.
Embed your codebase for fast semantic search with Graph RAG.