contextplus MCP server

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.

What contextplus does

Summarised from the project README; check the repository for the latest details.

Tools exposed (19)

• Discovery
• get_context_tree – Structural AST tree of a project with file headers and symbol ranges (line numbers for functions/classes/methods). Dynamic pruning shrinks o
• 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
• 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.
• 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.
• list_restore_points – List all shadow restore points created by `proposecommit`. 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.
• upsert_memory_node – Create or update a memory node (concept, file, symbol, note) with auto-generated embeddings.
• create_relation – Create typed edges between nodes (relatesto, dependson, implements, references, similarto, 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.

Requirements

• Environment variables: OLLAMA_API_KEY

How to install contextplus MCP in Claude Desktop, Cursor and VS Code

{
  "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"
      }
    }
  }
}

{
  "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"
      }
    }
  }
}

{
  "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"
      }
    }
  }
}

Add to config generator – combine it with other servers, or get the Windsurf format.

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