{"id":"contextplus","name":"Context+","homepage":"https://github.com/ForLoopCodes/contextplus","repo_url":"https://github.com/ForLoopCodes/contextplus","category":"developer-tools","subcategories":["code-intelligence","semantic-search","static-analysis"],"tags":["mcp","ast-parsing","tree-sitter","semantic-search","spectral-clustering","code-navigation","blast-radius","ollama","embeddings"],"what_it_does":"An MCP server that transforms codebases into searchable, hierarchical feature graphs by combining Tree-sitter AST parsing (43 languages), spectral clustering, and Obsidian-style wikilink navigation. Provides 11 MCP tools for structural analysis, semantic code search, blast radius tracing, static analysis, and safe code modification with shadow restore points.","use_cases":["Understanding large unfamiliar codebases through structural and semantic search","Tracing impact of changes via blast radius analysis before modifying code","Navigating multi-language projects using feature hubs and wikilink graphs","Safe AI code modifications with automatic shadow restore points for undo"],"not_for":["Production deployment without local Ollama instance (requires local embedding model)","Teams that don't want a .mcp_data/ cache directory in their projects","Users needing cloud-hosted semantic search (this is entirely local)"],"best_when":"You are working with large, multi-language codebases and want AI agents to have deep structural understanding including AST parsing, semantic clustering, and safe modification capabilities with undo support.","avoid_when":"You have a small project where grep/ripgrep suffices, or you cannot run Ollama locally for embeddings. The dependency on a local LLM runtime adds setup friction.","alternatives":["Context Engine","Sourcegraph Cody","Aider","Greptile"],"af_score":63.2,"security_score":55.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"unknown","last_evaluated":"2026-03-01T09:50:05.442056+00:00","performance":{"latency_p50_ms":null,"latency_p99_ms":null,"uptime_sla_percent":null,"rate_limits":null,"data_source":"llm_estimated","measured_on":null}}