Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.
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Contextplus is an MCP server that semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 86/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"contextplus": {
"env": {
"OLLAMA_API_KEY": "YOUR_OLLAMA_API_KEY",
"OLLAMA_CHAT_MODEL": "gemma2:27b",
"OLLAMA_EMBED_MODEL": "nomic-embed-text"
},
"args": [
"contextplus"
],
"command": "bunx"
}
}
}Are you the author?
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Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.
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No known CVEs.
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Semantic Intelligence for Large-Scale Engineering.
Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.
https://github.com/user-attachments/assets/a97a451f-c9b4-468d-b036-15b65fc13e79
| Tool | Description |
|---|---|
get_context_tree | Structural AST tree of a project with file headers and symbol ranges (line numbers for functions/classes/methods). Dynamic pruning shrinks output automatically. |
get_file_skeleton | Function signatures, class methods, and type definitions with line ranges, without reading full bodies. Shows the API surface. |
semantic_code_search | Search by meaning, not exact text. Uses embeddings over file headers/symbols and returns matched symbol definition lines. |
semantic_identifier_search | Identifier-level semantic retrieval for functions/classes/variables with ranked call sites and line numbers. |
semantic_navigate | Browse codebase by meaning using spectral clustering. Groups semantically related files into labeled clusters. |
| Tool | Description |
|---|---|
get_blast_radius | Trace every file and line where a symbol is imported or used. Prevents orphaned references. |
run_static_analysis | Run native linters and compilers to find unused variables, dead code, and type errors. Supports TypeScript, Python, Rust, Go. |
| Tool | Description |
|---|---|
propose_commit | The only way to write code. Validates against strict rules before saving. Creates a shadow restore point before writing. |
get_feature_hub | Obsidian-style feature hub navigator. Hubs are .md files with [[wikilinks]] that map features to code files. |
| Tool | Description |
|---|---|
list_restore_points | List all shadow restore points created by propose_commit. Each captures file state before AI changes. |
undo_change | Restore files to their state before a specific AI change. Uses shadow restore points. Does not affect git. |
| Tool | Description |
|---|---|
upsert_memory_node | Create or update a memory node (concept, file, symbol, note) with auto-generated embeddings. |