MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,963 servers in this category.
Converts native binaries into clean C source code using headless Ghidra to assist LLMs with binary decompilation and reversing workflows.
Turns Git repositories into a searchable, source-grounded knowledge base with a structured code graph and wiki for humans and AI agents.
Audits the context-window token cost of MCP servers by probing tool definitions and identifying schema bloat.
Performs local, CPU-based OCR on scanned PDFs and images to produce searchable PDFs and structured Markdown for AI agents.
Enables AI coding agents to perform local-first code graph analysis and change impact assessment to identify affected files and tests.
Lets AI agents delegate coding tasks to Claude Code through MCP or CLI with durable task management and usage capacity governance.
Scans MCP server configurations and AI agent tool definitions to detect secrets, supply-chain risks, and tool poisoning.
Inspects MCP server tool definitions to detect tool poisoning, prompt injection, and data exfiltration attempts using static analysis and local AI.
Migrate SharePoint Online or Server sites to Liferay DXP 2026.Q3 using AI-driven discovery, mapping, and automated data transfer.
Performs high-assurance static analysis for Python to trace causation, generate reproduction witnesses, and suggest verified patches.
Validates Model Context Protocol servers by checking handshakes, tool schemas, and stdout integrity for CI/CD pipelines.
Allows remote AI agents to read, write, and execute code on Windows machines within strictly defined file and execution policies.
Enables AI agents to automatically design, generate, and visually arrange UML and ER diagrams in Visual Paradigm using OMG XMI 2.1 standards.
Scans Model Context Protocol servers for prompt injection, tool poisoning, unsafe configurations, and risky source code.
Provides architectural patterns, system prompt blueprints, and MCP server configurations for building production-ready AI agents.
Performs conformance testing on MCP servers to detect discrepancies between advertised tool schemas and actual runtime behavior.
Performs static security analysis on Model Context Protocol servers to detect tool poisoning, shadowing, and instruction drift.
Provides a curated, bilingual list of Claude Code tools, MCP servers, agent skills, and ecosystem resources for developers.
Performs local static reverse engineering and decompilation of PE, ELF, Mach-O, and .NET IL binaries for humans and AI agents.
Converts FastAPI services into governed MCP tools with owner approval workflows, PII redaction, and role-based access control.
