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Help agents discover code symbols, APIs, and relationships for accurate tool use.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "molmcp" yet — see the docs or source repo.
Scan this codebase and list the functions, classes, and call relationships related to “generate JWT and validate permissions.” Return symbol names, signatures, file locations, and dependency relationships.
A list of JWT-related code symbols with signatures, locations, and relationship mapping for direct reuse or modification.
Do not guess function names. Use indexed relationships to find existing tool entry points for “sending Slack alerts” in the codebase, and explain which function to call, what parameters it needs, and which modules it depends on.
A clear Slack alert integration entry point, including the recommended function, required parameters, and related dependencies.
Use the code graph to analyze the key interfaces and dependency chains between the payment and order modules. Identify core symbols, upstream/downstream relationships, and related components that may affect change scope.
A module relationship analysis that helps assess change impact and quickly understand the system structure.
Query code structure and cross-language relationships via MCP with auditable access logs.
Help AI agents navigate, search, and understand codebases and change history.
Index codebases into a searchable graph for structure, calls, and routes.
Build a knowledge graph from repos for Q&A and implementation planning.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Provides in-memory graph context and semantic code understanding for AI agents.