AI-friendly semantic code search engine that combines ripgrep speed with tree-sitter AST parsing for large codebases.
Probe is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view probelabs/probe --webOpen the official README and confirm the supported install method.
Add the server entry to your MCP client config.
Restart your agent and verify that the server tools appear.
Repository setup guidance
Strong trust signals; still review the README and permissions before production use.
Last commit was about 98 days ago.
628 GitHub stars indicate community interest.
14 open issues signal maintenance load.
Connect any AI model to 1200+ integrations (MCP, CLI, API)
An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.
Official Microsoft Learn MCP server and CLI tool providing real-time, trusted Microsoft docs and code samples to AI agents.
Probe is a tool that helps AI coding assistants understand your codebase. It searches code not just as text, but as structured code, returning complete functions and classes. It works offline, requires no setup, and gives AI agents precise, context-aware results.
Probe is a code and markdown context engine with a built-in agent, designed for enterprise-scale codebases. Unlike traditional grep or embedding-based tools, Probe uses AST-aware structural search to understand code structure. It supports boolean queries (AND, OR, +required, -excluded), BM25 ranking with SIMD acceleration, and token-aware deduplication. Probe can be used as an MCP server, CLI tool, or Node.js SDK. It integrates seamlessly with AI coding assistants like Claude Code, providing complete semantic code blocks in milliseconds. Key features include: zero setup, offline operation, support for 20+ programming languages, and a built-in agent that can search, extract, and reason across your entire codebase. Probe is ideal for spec-driven development, code reviews, onboarding, and any task requiring deep code understanding.
AI-friendly semantic code search engine that combines ripgrep speed with tree-sitter AST parsing for large codebases.
AI/ML engineers building coding assistants, Senior developers working on large, complex codebases, DevOps engineers integrating code search into CI/CD pipelines
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Review repository permissions, executed commands, data sent to external services, and dependencies before use.
Similar or complementary options to evaluate include metorial, mcp-context-forge, Microsoft Learn MCP Server.
Aug 20, 2026
Apache-2.0 license detected.
0 security/trust notes recorded.
Setup difficulty is 2/5.
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