Claude Context MCP
A semantic code search MCP server: indexes the project into a vector database and gives the agent only relevant snippets
- 12,656 ★ on the repository
- Last commit
- MIT
Extended access
Why this level
- Reads the whole project codebase
- Sends code chunks to an embedding service and vector database
Install
- Works in
In your terminal, with SkillFoxx CLI
npx skillfoxx add mcp/claude-contextDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewExtended accessThe tool runs code or makes network calls and only reads external data.
- Reads the whole project codebase
- Sends code chunks to an embedding service and vector database
This is third-party code. Review the repository files before installing.
What it does
Claude Context splits project code into chunks, builds embeddings and stores them in Milvus or Zilliz Cloud. When the agent needs context, it runs a semantic query and gets relevant code without multi-step file searching. This saves tokens on large repositories. The server works with Claude Code, Codex, Gemini CLI, Cursor, Windsurf, Claude Desktop and other MCP clients.
Who it is for. For developers on large codebases where the agent struggles to find code with plain search.
Good fit when
- The repository is too large for the agent to read in full
- The agent spends many steps finding the right files
- You need to search code by meaning rather than exact names
Not a fit when
- The project is small and grep is enough
- Code must not be sent to external embedding services
Example request
Index this repository and find where user authentication is handledMCP
- Transport
- stdio
- Authentication
- API key
Environment variables
OPENAI_API_KEYrequired, secret- OpenAI key for the embedding model
MILVUS_ADDRESS- Milvus address or Zilliz Cloud public endpoint
MILVUS_TOKENrequired, secret- Zilliz Cloud API key or Milvus token
Limitations
It needs a vector database, Zilliz Cloud or your own Milvus, and an embedding provider key, OpenAI by default. The OpenAI API is not reachable from Russia without a VPN. Code chunks are sent to the embedding service and stored in the vector database. Node.js 20+ is required.
How to disable. Run claude mcp remove claude-context or delete the claude-context block from the client's MCP config.
FAQ
Can I avoid Zilliz Cloud?
Yes, point MILVUS_ADDRESS at your own Milvus instance.
Is there more than MCP?
The repository also has a VS Code extension and the @zilliz/claude-context-core package.
Discussion
No questions or reviews yet.
Related
MCP serversAn MCP server that turns a large codebase into a semantic feature graph for precise navigation and meaning-based search
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A local MCP server and CLI for agents: semantic code search, call graphs and change-impact analysis
An MCP server that gives an agent search over a large Claude Code guide, official docs, releases and ready-made templates
An MCP server that gives Claude Desktop and other clients file tools, a shell and sub-agents in the style of Claude Code
Comparison with similar tools
Entries that share the main search query, and how they differ.
| Entry | Official | Authentication | Repository stars | Main difference |
|---|---|---|---|---|
| Claude Context (this entry) | yes | API key | 12,656 | |
| Deep Graph MCP: a code graph of a repository for agents | no | not required | 402 | an MCP server that gives an agent a repository code graph |
| Context Engine: code search and memory for an agent | yes | 401 | a skill that teaches an agent to query the Context Engine code index |
README in short
The README explains why to index code in a vector database and lists requirements: Zilliz Cloud or Milvus and an OpenAI key. It gives the claude mcp add command and ready configs for about ten clients, including Codex, Gemini CLI, Qwen Code and Cursor. It also covers the VS Code extension and the core library. MIT licensed.