How do I install the sensegrep mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `SENSEGREP_PROVIDER`, `GEMINI_API_KEY`, `SENSEGREP_OPENAI_API_KEY`, `SENSEGREP_OPENAI_BASE_URL`, `SENSEGREP_EMBED_MODEL`, `SENSEGREP_EMBED_DIM`, `SENSEGREP_OPENAI_BATCH_SIZE`, `AWS_REGION` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Sensegrep MCP Server

Semantic + structural code search MCP server for AI-native development.

Local serverstdioPython

What is the Sensegrep MCP Server?

Semantic + structural code search MCP server for AI-native development.

The short version

sensegrep understands your code semantically. Instead of matching text patterns, it uses AI embeddings and tree-sitter AST parsing to find code by meaning - so you can search for "authentication logic" and actually find your auth functions, even if they never contain the word "authentication".

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Sensegrep MCP Server

{
  "mcpServers": {
    "sensegrep": {
      "command": "npx",
      "args": ["-y", "@sensegrep/mcp"],
      "env": {
        "SENSEGREP_PROVIDER": "your-value",
        "GEMINI_API_KEY": "your-value",
        "SENSEGREP_OPENAI_API_KEY": "your-value",
        "SENSEGREP_OPENAI_BASE_URL": "your-value",
        "SENSEGREP_EMBED_MODEL": "your-value",
        "SENSEGREP_EMBED_DIM": "your-value",
        "SENSEGREP_OPENAI_BATCH_SIZE": "your-value",
        "AWS_REGION": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

Variable	Description	Required
SENSEGREP_PROVIDER	Configuration value read at startup.	Optional
GEMINI_API_KEY	Credential the server authenticates with.	Yes
SENSEGREP_OPENAI_API_KEY	Credential the server authenticates with.	Yes
SENSEGREP_OPENAI_BASE_URL	Endpoint or connection string the server talks to.	Yes
SENSEGREP_EMBED_MODEL	Configuration value read at startup.	Optional
SENSEGREP_EMBED_DIM	Configuration value read at startup.	Optional
SENSEGREP_OPENAI_BATCH_SIZE	Configuration value read at startup.	Optional
AWS_REGION	Configuration value read at startup.	Optional

Frequently asked questions

Semantic + structural code search MCP server for AI-native development. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.

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