grepai-mcp-claude
Integrate GrepAI with Claude Code via MCP. Use this skill to enable semantic code search in Claude Code.
What this skill does
# GrepAI MCP Integration with Claude Code
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
1. GrepAI installed
2. Ollama running (or other embedding provider)
3. Project indexed (`grepai watch`)
4. Claude Code installed
## Quick Setup
One command to add GrepAI to Claude Code:
```bash
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
```json
{
"mcpServers": {
"grepai": {
"command": "grepai",
"args": ["mcp-serve"]
}
}
}
```
### With Working Directory
If you want GrepAI to always use a specific project:
```json
{
"mcpServers": {
"grepai": {
"command": "grepai",
"args": ["mcp-serve"],
"cwd": "/path/to/your/project"
}
}
}
```
## Verifying Installation
### Check MCP Server
```bash
# 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:
| Tool | Description | Parameters |
|------|-------------|------------|
| `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
### Semantic Search
Claude request:
> "Find code related to user authentication"
Claude uses:
```json
{
"tool": "grepai_search",
"parameters": {
"query": "user authentication",
"limit": 5,
"compact": true
}
}
```
### Trace Analysis
Claude request:
> "What functions call the Login function?"
Claude uses:
```json
{
"tool": "grepai_trace_callers",
"parameters": {
"symbol": "Login",
"compact": true
}
}
```
### Index Status
Claude request:
> "Is the code index up to date?"
Claude uses:
```json
{
"tool": "grepai_index_status",
"parameters": {
"verbose": true
}
}
```
## Compact Mode
By default, MCP tools return compact JSON to minimize tokens:
```json
{
"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:
1. GrepAI is initialized in your project
2. Index exists (run `grepai watch` first)
3. Start Claude Code from your project directory
### Option 1: Start Claude from Project Directory
```bash
cd /path/to/your/project
claude # Claude Code now uses this directory
```
### Option 2: Configure CWD in MCP Config
```json
{
"mcpServers": {
"grepai": {
"command": "grepai",
"args": ["mcp-serve"],
"cwd": "/path/to/your/project"
}
}
}
```
## Multiple Projects
For multiple projects, you can:
### Option 1: Multiple MCP Servers
```json
{
"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
```bash
grepai workspace create my-workspace
grepai workspace add my-workspace /path/to/frontend
grepai workspace add my-workspace /path/to/backend
```
```json
{
"mcpServers": {
"grepai": {
"command": "grepai",
"args": ["mcp-serve", "--workspace", "my-workspace"]
}
}
}
```
## Troubleshooting
### Tool Not Available
❌ **Problem:** Claude doesn't see GrepAI tools
✅ **Solutions:**
1. Restart Claude Code after config changes
2. Check MCP config syntax (valid JSON)
3. Verify `grepai` is in PATH
4. Test: `grepai mcp-serve` manually
### Search Returns No Results
❌ **Problem:** Searches return empty
✅ **Solutions:**
1. Ensure `grepai watch` has run
2. Check working directory has `.grepai/`
3. Verify index exists: `grepai status`
### Connection Refused
❌ **Problem:** MCP server won't start
✅ **Solutions:**
1. Check Ollama is running: `curl http://localhost:11434/api/tags`
2. Verify config: `cat .grepai/config.yaml`
3. Run `grepai mcp-serve` manually to see errors
### Wrong Project Indexed
❌ **Problem:** Results from wrong codebase
✅ **Solutions:**
1. Check `cwd` in MCP config
2. Start Claude from correct directory
3. Verify with `grepai_index_status` tool
## Best Practices
1. **Keep index updated:** Run `grepai watch --background`
2. **Use compact mode:** Reduces token usage
3. **Set working directory:** Explicit `cwd` in config
4. **Check status first:** Use `grepai_index_status`
5. **Restart after config:** Claude needs restart for MCP changes
## Removing Integration
To remove GrepAI from Claude Code:
```bash
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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