grepai-mcp-claude

安装量: 214
排名: #4081

安装

npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-mcp-claude

This skill covers integrating GrepAI with Claude Code using the Model Context Protocol (MCP).

When to Use This Skill

  • Setting up GrepAI in Claude Code

  • Enabling semantic search for AI coding assistant

  • Configuring MCP server for Claude

  • Troubleshooting Claude Code integration

What is MCP?

Model Context Protocol (MCP) allows AI assistants to use external tools. GrepAI provides an MCP server that gives Claude Code:

  • Semantic code search

  • Call graph analysis

  • Index status monitoring

Prerequisites

  • GrepAI installed

  • Ollama running (or other embedding provider)

  • Project indexed (grepai watch)

  • Claude Code installed

Quick Setup

One command to add GrepAI to Claude Code:

claude mcp add grepai -- grepai mcp-serve

That's it! Claude Code can now use GrepAI tools.

Manual Configuration

If you prefer manual setup, add to Claude Code's MCP config:

Location

  • macOS/Linux: ~/.claude/mcp.json

  • Windows: %APPDATA%\Claude\mcp.json

Configuration

{
  "mcpServers": {
    "grepai": {
      "command": "grepai",
      "args": ["mcp-serve"]
    }
  }
}

With Working Directory

If you want GrepAI to always use a specific project:

{
  "mcpServers": {
    "grepai": {
      "command": "grepai",
      "args": ["mcp-serve"],
      "cwd": "/path/to/your/project"
    }
  }
}

Verifying Installation

Check MCP Server

# Start MCP server manually to test
grepai mcp-serve

You should see:

GrepAI MCP Server started
Listening for requests...

In Claude Code

Ask Claude:

"Search the codebase for authentication code"

Claude should use the grepai_search tool.

Available Tools

Once connected, Claude Code has access to these tools:

| grepai_search | Semantic code search | query (required), limit, compact

| grepai_trace_callers | Find function callers | symbol (required), compact

| grepai_trace_callees | Find function callees | symbol (required), compact

| grepai_trace_graph | Build call graph | symbol (required), depth

| grepai_index_status | Check index health | verbose (optional)

Tool Usage Examples

Claude request:

"Find code related to user authentication"

Claude uses:

{
  "tool": "grepai_search",
  "parameters": {
    "query": "user authentication",
    "limit": 5,
    "compact": true
  }
}

Trace Analysis

Claude request:

"What functions call the Login function?"

Claude uses:

{
  "tool": "grepai_trace_callers",
  "parameters": {
    "symbol": "Login",
    "compact": true
  }
}

Index Status

Claude request:

"Is the code index up to date?"

Claude uses:

{
  "tool": "grepai_index_status",
  "parameters": {
    "verbose": true
  }
}

Compact Mode

By default, MCP tools return compact JSON to minimize tokens:

{
  "q": "authentication",
  "r": [
    {"s": 0.92, "f": "src/auth/middleware.go", "l": "15-45"},
    {"s": 0.85, "f": "src/auth/jwt.go", "l": "23-55"}
  ],
  "t": 2
}

This reduces token usage by ~80% compared to full content.

Working Directory

The MCP server uses the current working directory. Ensure:

  • GrepAI is initialized in your project

  • Index exists (run grepai watch first)

  • Start Claude Code from your project directory

Option 1: Start Claude from Project Directory

cd /path/to/your/project
claude  # Claude Code now uses this directory

Option 2: Configure CWD in MCP Config

{
  "mcpServers": {
    "grepai": {
      "command": "grepai",
      "args": ["mcp-serve"],
      "cwd": "/path/to/your/project"
    }
  }
}

Multiple Projects

For multiple projects, you can:

Option 1: Multiple MCP Servers

{
  "mcpServers": {
    "grepai-frontend": {
      "command": "grepai",
      "args": ["mcp-serve"],
      "cwd": "/path/to/frontend"
    },
    "grepai-backend": {
      "command": "grepai",
      "args": ["mcp-serve"],
      "cwd": "/path/to/backend"
    }
  }
}

Option 2: Use Workspaces

grepai workspace create my-workspace
grepai workspace add my-workspace /path/to/frontend
grepai workspace add my-workspace /path/to/backend
{
  "mcpServers": {
    "grepai": {
      "command": "grepai",
      "args": ["mcp-serve", "--workspace", "my-workspace"]
    }
  }
}

Troubleshooting

Tool Not Available

Problem: Claude doesn't see GrepAI tools

Solutions:

  • Restart Claude Code after config changes

  • Check MCP config syntax (valid JSON)

  • Verify grepai is in PATH

  • Test: grepai mcp-serve manually

Search Returns No Results

Problem: Searches return empty

Solutions:

  • Ensure grepai watch has run

  • Check working directory has .grepai/

  • Verify index exists: grepai status

Connection Refused

Problem: MCP server won't start

Solutions:

  • Check Ollama is running: curl http://localhost:11434/api/tags

  • Verify config: cat .grepai/config.yaml

  • Run grepai mcp-serve manually to see errors

Wrong Project Indexed

Problem: Results from wrong codebase

Solutions:

  • Check cwd in MCP config

  • Start Claude from correct directory

  • Verify with grepai_index_status tool

Best Practices

  • Keep index updated: Run grepai watch --background

  • Use compact mode: Reduces token usage

  • Set working directory: Explicit cwd in config

  • Check status first: Use grepai_index_status

  • Restart after config: Claude needs restart for MCP changes

Removing Integration

To remove GrepAI from Claude Code:

claude mcp remove grepai

Or manually edit ~/.claude/mcp.json and remove the grepai entry.

Output Format

Successful MCP setup:

✅ GrepAI MCP Integration Configured

   Claude Code: ~/.claude/mcp.json
   Server: grepai mcp-serve
   Status: Connected

   Available tools:
   - grepai_search (semantic code search)
   - grepai_trace_callers (find callers)
   - grepai_trace_callees (find callees)
   - grepai_trace_graph (call graphs)
   - grepai_index_status (index health)

   Claude can now search your code semantically!
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