"Agent File Control MCP Server" matching MCP servers:

A production-ready MCP server suite for AI agent tool integration, providing five composable tool modules: code analysis, web scraping, file operations, API integration, and data transformation.

An AI debugging agent MCP server that enables autonomous plan-act-observe debugging workflows, allowing repository exploration, code inspection, human-approved edits, and test execution through structured MCP tools.

Enables read-only access to the canonical-vault GitHub repository through MCP, letting clients list files, retrieve file contents and history, inspect commits, and search code.

Enables fast, low-token code search for AI coding agents via a local BM25 engine built on SQLite FTS5, with support for camelCase, snake_case, and Japanese text. Provides a stateless MCP stdio server and a Hermes adapter for multi-agent environments.

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

Enables Cursor AI to query SonarQube for pull request metrics, issues, file issues, and duplication reports directly, without manual data export.

Reduces Claude's context window costs by automatically summarizing inactive files to their public interfaces using AST parsing, keeping only the full contents of the currently active file.

Enables AI assistants to run Offensive360 SAST scans on local codebases, returning security findings with file/line, severity, and fixes, plus scan status tracking.

A comprehensive MCP server providing arithmetic tools, dynamic file resources for frontend/backend documentation, reusable prompt templates for code review/debugging/testing, and complete development workflow management from requirements to deployment.

Enables intelligent handling of large files through smart chunking, search with regex support, line navigation, and streaming capabilities without loading entire files into memory.

Enables AI agents to explore, analyze, and search file systems, with tools for directory trees, file statistics, duplicate detection, code counting, and multi-criteria file search.

Provides tools for managing tasks, searching docs, and running a heuristic quality gate to check agent output for common issues before human review.

Provides essential developer tools for workspace management, including advanced file searching, project structure analysis, and batch code editing. It enables users to efficiently navigate, analyze, and modify source code within their development environment.

Bridges MCP clients to Moonshot AI's Kimi Code CLI, enabling file analysis, brainstorming, batch tasks, code reviews, and session management within editors like Claude Desktop and Cursor.

MCP server that enables AI agents to read, edit, and create PLC projects in EcoStruxure Control Expert via COM automation.

Connects LLMs to GitHub and GitLab to analyze pull and merge requests for logic, security, and architectural alignment. It provides tools for fetching diffs, file contents, and project metadata, alongside guided prompts for professional code reviews.

MCP server for TypeScript type resolution and dependency graph analysis using ts-morph and madge.

Provides centralized security instructions for AI-assisted code generation by matching context-aware rules to the user's programming language and file patterns. It ensures generated code adheres to security best practices without requiring manual maintenance of instruction files across individual repositories.

Provides file system tools, code analysis prompts, async tasks, and secure HTTP transport following the 2025-03-26 MCP specification.

An MCP server for the OpenAI Codex CLI that provides coding assistance with multi-turn session management and reasoning depth control. It enables users to perform code analysis, generation, and refactoring through Claude with native resume support for conversational context.