"Maps and Navigation Solutions from TomTom" matching MCP servers:

A minimal MCP server providing a normalized API for code navigation and repository inspection through tools like symbol searching and call tracing. It enables AI agents to perform structured analysis of codebases by mapping endpoints, inspecting file trees, and tracing symbol relationships.

Provides tools for Python code navigation, analysis, and refactoring, including finding definitions, references, and symbol lists. It enables automated tasks such as renaming symbols and organizing imports to enhance AI-driven development.

locidx

An AI-powered security audit tool that analyzes codebases for vulnerabilities using real-time MITRE CWE data and npm audit. It enables users to perform comprehensive scans for authentication issues, exposed secrets, and dependency risks with structured remediation steps.

Enables AI assistants to surgically extract and analyze code, reducing token usage and costs by up to 200x compared to reading entire files.

A local .NET MCP server for coding agents, providing persistent semantic indexing, typed-graph DI wiring resolution, reduced context, and compiler-backed verification for .NET projects.

Enterprise-grade MCP server for SAP ABAP development, enabling AI-powered coding assistance through Amazon Q Developer and Kiro with 15 SAP development tools.

On-demand micro-mutation sandbox for AI test verification that maps weaknesses in unit tests by running isolated mutation testing via the Model Context Protocol.

A local Git intelligence MCP server that provides deep repository analytics including hotspots, temporal coupling, knowledge maps, churn analysis, and risk scoring for AI agents.

AI reads your codebase like a book - one page at a time. Pharaoh gives it the index and a map of how every chapter connects.

Deterministic navigation maps over code AND markdown for AI agents: one MCP server, two lenses (tree-sitter TS/JS/Python + markdown). Map a whole project, read one function or one doc-section, ~99% less context. Merges codelens + docslens.

An MCP server that maps any repository into architecture diagrams, providing tools for scanning code facts, building import graphs, and generating Mermaid/DOT diagrams, plus architecture rule enforcement for CI.

Provides role-aware repository maps for LLM agents by analyzing codebases and ranking files within a token budget.

A local Git intelligence MCP server that provides deep repository analytics including hotspots, churn, knowledge maps, and risk scoring, all computed from commit history without data leaving your machine.

Provides fast, indexed code navigation (definitions, references, callers, etc.) for AI coding agents by leveraging GNU Global (gtags), dramatically reducing context noise compared to grep.

MCP server for comprehensive code analysis, navigation, and quality assessment across 25+ programming languages.

Extracts deterministic architecture maps from codebases for AI agents, enabling queries about blast radius, routes, security findings, and production readiness without sending code anywhere.

A code-intelligence MCP server for coding agents that combines a static repository map (via tree-sitter) with precise live navigation (via LSP), providing structured, token-budgeted responses anchored to file:line.

Local-first code intelligence for coding agents. Exposes precomputed SCIP navigation, Zoekt lexical search, cross-repo blast radius, and semantic search as MCP tools.

Enables evolutionary solution generation and optimization using genetic algorithm principles, allowing LLMs to evolve solutions across multiple generations with consistency check evaluations and convergence detection.