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Provides static code analysis using Joern's Code Property Graph technology for 12+ programming languages, enabling code browsing, security taint analysis, call graph exploration, and dataflow tracking through natural language queries.

Provides static code analysis using Joern's Code Property Graph technology for 12+ programming languages. Enables security analysis, code browsing, taint flow detection, and CPGQL queries through natural language.

Analyzes TypeScript codebases for health issues, fetches system incidents, and generates remediation plans.

Provides AI assistants with real-time visibility into your codebase's internal libraries, team patterns, naming conventions, and usage frequencies to generate code that matches your team's actual practices.

A minimalist indexing tool that provides AI agents with semantic search and structural AST parsing for deep codebase understanding. It enables autonomous agents to navigate large codebases predictably using vector embeddings and native language server capabilities like definition and reference tracking.

Analyzes API codebases from GitHub and Bitbucket repositories to generate Postman collections, business reports, and detailed code insights. Supports multiple frameworks including FastAPI, Spring Boot, Flask, Express, and OpenAPI/Swagger specifications.

A Model Context Protocol server that analyzes application codebases with real-time file watching, providing AI assistants like Claude with deep insights into project structure, code patterns, and architecture.

Provides comprehensive codebase analysis including project structure evaluation, cross-language duplicate detection, microservices validation, and configuration optimization with AI-powered pattern learning that generates actionable improvement reports.

Enables efficient interaction with Codebeamer V3 APIs by consolidating 30+ individual API calls into 12 intelligent tools with built-in caching and rate limiting, reducing API calls by 70-98% for project management, bug tracking, and item operations.

An extended MCP server for managing code snippets, performing code analysis, and handling deployments via Render and GitHub. It enables users to perform code reviews, track issues, and manage service operations through natural language interactions.

Codebox AI

A secure Python code execution service designed to integrate with LLMs like GPT and Claude, providing a self-hosted alternative to OpenAI's Code Interpreter. Now with MCP server.

An MCP server that offloads bulk coding tasks to local LLMs, allowing Claude Code to delegate repetitive work like boilerplate generation and code polishing while preserving its context for complex reasoning.

A cognitive scaffolding platform that helps AI agents break down complex tasks into manageable steps using hierarchical planning and metacognitive guidance. Provides persistent memory, progress tracking, and intelligent pattern recognition to learn from successful project structures.

Enables AI assistants to perform comprehensive code quality checks including pylint, pytest, and mypy analysis on Python projects, with smart prompts for explaining issues and suggesting fixes.

A TypeScript MCP server for Codecks project management that provides over 32 tools to manage cards, decks, milestones, and PM workflows. It enables users to perform actions like creating cards, tracking activity, and managing project conversations through the Model Context Protocol.

Enables AI assistants to interact with Codecks project management for querying cards, creating tasks, and managing game development workflows. It supports comprehensive operations for cards, decks, spaces, and projects through natural language commands.

Provides intelligent code context management and semantic search capabilities for software development, enabling natural language queries to find relevant code snippets, functions, and classes across Python, JavaScript, TypeScript, and SQL codebases.

Indexes codebases into a SQLite database to provide metadata, exports, dependency graphs, and change tracking for JS/TS projects. It enables users to search for symbols, map internal dependencies, and monitor file changes through MCP tools and a web dashboard.

Persistent codebase knowledge layer for AI agents. Pre-digests codebases into structured knowledge (symbols, dependency graphs, co-change patterns, architectural decisions) and serves via MCP. 28 languages, 14 tools, ~85% token reduction.

Enables safe, concurrent file system operations with sandboxed directory access control, automatic encoding detection, optimistic locking, and precise code editing capabilities including search-replace and batch operations.