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.
Video.Project.5.mp4
Tools
Discovery
| 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. |
Analysis
| 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. |
Code Ops
| 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. |
Version Control
| 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. |
Memory & RAG
| Tool | Description |
|---|---|
upsert_memory_node |
Create or update a memory node (concept, file, symbol, note) with auto-generated embeddings. |
create_relation |
Create typed edges between nodes (relates_to, depends_on, implements, references, similar_to, contains). |
search_memory_graph |
Semantic search with graph traversal — finds direct matches then walks 1st/2nd-degree neighbors. |
prune_stale_links |
Remove decayed edges (e^(-λt) below threshold) and orphan nodes with low access counts. |
add_interlinked_context |
Bulk-add nodes with auto-similarity linking (cosine ≥ 0.72 creates edges automatically). |
retrieve_with_traversal |
Start from a node and walk outward — returns all reachable neighbors scored by decay and depth. |
Setup
Quick Start (npx / bunx)
No installation needed. Add Context+ to your IDE MCP config.
For Claude Code, Cursor, and Windsurf, use mcpServers:
{
"mcpServers": {
"contextplus": {
"command": "bunx",
"args": ["contextplus"],
"env": {
"OLLAMA_EMBED_MODEL": "nomic-embed-text",
"OLLAMA_CHAT_MODEL": "gemma2:27b",
"OLLAMA_API_KEY": "YOUR_OLLAMA_API_KEY"
}
}
}
}For VS Code (.vscode/mcp.json), use servers and inputs:
{
"servers": {
"contextplus": {
"type": "stdio",
"command": "bunx",
"args": ["contextplus"],
"env": {
"OLLAMA_EMBED_MODEL": "nomic-embed-text",
"OLLAMA_CHAT_MODEL": "gemma2:27b",
"OLLAMA_API_KEY": "YOUR_OLLAMA_API_KEY"
}
}
},
"inputs": []
}If you prefer npx, use:
"command": "npx""args": ["-y", "contextplus"]
Or generate the MCP config file directly in your current directory:
npx -y contextplus init claude bunx contextplus init cursor npx -y contextplus init opencode
Supported coding agent names: claude, cursor, vscode, windsurf, opencode.
Config file locations:
| IDE | Config File |
|---|---|
| Claude Code | .mcp.json |
| Cursor | .cursor/mcp.json |
| VS Code | .vscode/mcp.json |
| Windsurf | .windsurf/mcp.json |
| OpenCode | opencode.json |
CLI Subcommands
init [target]- Generate MCP configuration (targets:claude,cursor,vscode,windsurf,opencode).skeleton [path]ortree [path]- (New) View the structural tree of a project with file headers and symbol definitions directly in your terminal.[path]- Start the MCP server (stdio) for the specified path (defaults to current directory).
From Source
npm install npm run build
Architecture
Three layers built with TypeScript over stdio using the Model Context Protocol SDK:
Core (src/core/) - Multi-language AST parsing (tree-sitter, 43 extensions), gitignore-aware traversal, Ollama vector embeddings with disk cache, wikilink hub graph, in-memory property graph with decay scoring.
Tools (src/tools/) - 17 MCP tools exposing structural, semantic, operational, and memory graph capabilities.
Git (src/git/) - Shadow restore point system for undo without touching git history.
Runtime Cache (.mcp_data/) - created on server startup; stores reusable file, identifier, and call-site embeddings to avoid repeated GPU/CPU embedding work. A realtime tracker refreshes changed files/functions incrementally.
Config
| Variable | Default | Description |
|---|---|---|
OLLAMA_EMBED_MODEL |
nomic-embed-text |
Embedding model |
OLLAMA_API_KEY |
- | Ollama Cloud API key |
OLLAMA_CHAT_MODEL |
llama3.2 |
Chat model for cluster labeling |
CONTEXTPLUS_EMBED_BATCH_SIZE |
8 |
Embedding batch size per GPU call, clamped to 5-10 |
CONTEXTPLUS_EMBED_TRACKER |
true |
Enable realtime embedding refresh on file changes |
CONTEXTPLUS_EMBED_TRACKER_MAX_FILES |
8 |
Max changed files processed per tracker tick, clamped to 5-10 |
CONTEXTPLUS_EMBED_TRACKER_DEBOUNCE_MS |
700 |
Debounce window before tracker refresh |
Test
npm test
npm run test:demo
npm run test:all