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Code intelligence toolkit for AI agents — extract functions, trace call chains, find callers, detect dead code without reading entire files. Works as MCP server, CLI, or agent skill. Supports JS/TS, Python, Go, Rust, Java.
Found 47 results for call-graph
Code intelligence toolkit for AI agents — extract functions, trace call chains, find callers, detect dead code without reading entire files. Works as MCP server, CLI, or agent skill. Supports JS/TS, Python, Go, Rust, Java.
MCP server for codebase call-flow analysis. Local, deterministic, language-agnostic. Powered by @codeflow-map/core.
Local code graph CLI — parse codebases with tree-sitter, build dependency graphs, query them
MCP server that indexes codebases into an AST knowledge graph with semantic search, call graph traversal, and HTTP route tracing
Codebase graph analysis for AI agents — AST + call graph + type graph + hybrid semantic search via MCP
Lightweight code intelligence engine for AI agents. Dependency mapping, blast radius analysis, and call graph via MCP.
Universal code knowledge graph for agentic AI Systems and MCPs.
Static analysis CLI that generates relationship maps of codebases for AI-assisted development
Language-agnostic call-graph analysis engine powered by Tree-sitter. Parses TypeScript, JavaScript, TSX, JSX, Python, and Go source files into a structured call graph with flows.
Developer-first AI CLI for cross-language code intelligence. Trace call graphs across Java, SQL, Python, TypeScript. Impact analysis, agentic execution, code review, git tools, 40+ commands. Works with Ollama, Copilot, OpenAI, Anthropic.
Supermodel Public OpenAPI Specification
GitNexus knowledge graph integration for pi — enriches searches with call chains, execution flows, and blast radius
Structural code index with PageRank-ranked repo maps, symbol search, call-graph queries, and dependency analysis. Built on tree-sitter and graphology.
Code intelligence tool — SCIP+LSP indexing, symbol extraction, call-graph construction, and optional embeddings for semantic search
Core engine for Drift - multi-language pattern detection, call graph analysis, and security boundary tracking. Supports TypeScript, Python, C#, Java, PHP.
AST-based code intelligence plugin for Claude Code: search symbols, trace call graphs, generate comments, and provide structured context for any repository
aft-mcp binary for Windows x64
aft-mcp binary for Linux x64
aft-mcp binary for macOS ARM64 (Apple Silicon)
aft-mcp binary for macOS x64 (Intel)
Native Rust core for Drift - high-performance code analysis
Tree-sitter powered code analysis MCP server for Claude Code
aft-mcp binary for Linux ARM64
Generate an AI-readable system map (dependencies, call graph, module relationships) from any codebase
MCP server that gives AI agents (Claude, Cursor, Copilot) deep understanding of your codebase patterns, conventions, and architecture. Query patterns, security boundaries, call graphs in real-time.
Codebase pattern detection for AI agents - scans your code, learns conventions, feeds context to Claude/Cursor/Copilot via MCP. Static analysis for TypeScript, Python, C#, Java, PHP.
X-ray vision for your codebase — semantic knowledge graph that saves AI coding agents 30%+ tokens. Pre-built code intelligence for Claude Code, Cursor, Windsurf via MCP.
Static analysis toolchain for large TypeScript/JavaScript codebases. Extracts symbols, dependency graphs, call graphs, and architectural patterns without runtime LLM calls.
Universal code development MCP server — search, analyze, navigate, review any codebase. 29 tools, semantic search, AST parsing, security scanning, dead code detection, complexity heatmaps, DB schema parsing, API discovery, IaC analysis, CI/CD parsing, mon
Scan TypeScript/JavaScript repositories and generate interactive concept maps of codebase architecture
ts-call-graph
Learn your codebase patterns and enforce consistency. Pattern detection, call graph analysis, security visualization, and MCP integration for AI agents. Supports TypeScript, Python, C#, Java, PHP.
MCP server that indexes codebases into an AST knowledge graph with semantic search, call graph traversal, and HTTP route tracing
CLI tool to analyze Azure Durable Functions projects and auto-generate documentation with Mermaid flow diagrams. Visualize triggers, orchestrators, activities, and infrastructure dependencies.
Call graph analyzer for understanding code impact and execution flows - built for Claude Code
IntelliJ-style Java code indexing MCP server with call-graph analysis
CLI tool for Monarch - Static codebase flow mapping and visualization
MCP server that indexes codebases into an AST knowledge graph with semantic search, call graph traversal, and HTTP route tracing
Redis-powered MCP server for permanent codebase memory. Index once, query forever—across unlimited sessions.
Shared code intelligence infrastructure for AI agents. LSP for AI.
MCP server for code visualization with Mermaid diagrams
built from yoshinari-yamanaka's ts-call-graph
A powerful MCP server for intelligent code analysis, semantic search, and structural understanding of codebases through AI-powered indexing and vector embeddings
"If I change this function, what breaks?" — Change impact analysis powered by call graphs + PageRank
Codebase intelligence for AI agents. Index your code at function-level, query what matters, know what breaks.
ctxloom — The Universal Code Context Engine. A local-first MCP server providing intelligent code context via hybrid Vector + AST + Graph search with Skeletonization (70-90% token reduction).
MCP server that maps function and component dependencies in Haskell and ReScript codebases — built to help LLMs trace affected code flows for test generation.