Persistent Intelligence Infrastructure for AI Agents
Official SonarQube MCP Server for code quality and security in AI agents
MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.
Eclipse IDE as an MCP Server for AI Agents
Give any AI agent the ability to code
Standalone MCP server for cross-pane AI agent communication via tmux. Lets Claude Code, Gemini CLI, Codex, and Kimi CLI talk to each other through tmux panes.
MCP-native code retrieval for AI agents — 84-88% fewer read tokens, BM25F + semantic search, AST chunks, session dedup
Give your AI Agent a whole IDE, not just the files
A Git MCP server for AI agents. STDIO & Streamable HTTP.
eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.
Roslyn-based MCP server giving AI agents deep semantic understanding of .NET/C# codebases — 67 tools for navigation, call graphs, diagnostics & code fixes, safe refactoring, code-quality auditing, test intelligence, DI graphs, and IL/external-assembly inspection.

AI agents can generate code, but they still struggle to understand what they build. Reticle gives them runtime perception of web & desktop applications.
The graph based agentic IDE
Cross-language-safe code-intelligence MCP for AI agents -- 13 languages, family-gated call graph (CodeGraph 745 vs TSA 6 cross-language mis-wires, v1.21.0 same-session -- ~124x by count, ~390x by rate; re-verifying vs current develop). Run miswire-audit on your repo. 8 facade tools, TOON output, 100% local. Python.
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.
A structural code search engine for Al agents.
Chiasmus is an MCP server that gives language models access to formal verification
An MCP Server to utilize Lineai's rich software dependency data in your AI programming assistant.
MCP server for Git with local Ollama — zero tokens for git operations
Context-Engine MCP - Agentic Context Compression Suite
The IM for agents. Shared Agent Context & Memory, supervised execution, and cross-agent audit across AI providers.
Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.
LeanCTX — Context Intelligence for AI systems.
Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.