grepai-mcp-cursor▌
yoanbernabeu/grepai-skills · updated Apr 8, 2026
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This skill covers integrating GrepAI with Cursor IDE using the Model Context Protocol (MCP).
GrepAI MCP Integration with Cursor
This skill covers integrating GrepAI with Cursor IDE using the Model Context Protocol (MCP).
When to Use This Skill
- Setting up GrepAI in Cursor
- Enabling semantic search for Cursor AI
- Configuring MCP for Cursor
- Troubleshooting Cursor integration
What is Cursor?
Cursor is an AI-powered IDE that supports MCP for external tools. GrepAI integration gives Cursor's AI:
- Semantic code search beyond simple text matching
- Call graph analysis for understanding dependencies
- Index-based code navigation
Prerequisites
- GrepAI installed
- Ollama running (or other embedding provider)
- Project indexed (
grepai watch) - Cursor IDE installed
Configuration
Step 1: Create MCP Config File
Create .cursor/mcp.json in your project root:
{
"mcpServers": {
"grepai": {
"command": "grepai",
"args": ["mcp-serve"]
}
}
}
Step 2: Restart Cursor
Close and reopen Cursor for the config to take effect.
Step 3: Verify
Ask Cursor's AI:
"Search the codebase for authentication"
Cursor should use the grepai_search tool.
Global Configuration
For GrepAI in all Cursor projects, use global config:
Location
- macOS:
~/.cursor/mcp.json - Linux:
~/.cursor/mcp.json - Windows:
%APPDATA%\Cursor\mcp.json
Content
{
"mcpServers": {
"grepai": {
"command": "grepai",
"args": ["mcp-serve"]
}
}
}
Per-Project Configuration
For project-specific settings:
{
"mcpServers": {
"grepai": {
"command": "grepai",
"args": ["mcp-serve"],
"cwd": "/absolute/path/to/project"
}
}
}
Available Tools
Once configured, Cursor has access to:
| Tool | Description |
|---|---|
grepai_search |
Semantic code search |
grepai_trace_callers |
Find function callers |
grepai_trace_callees |
Find function callees |
grepai_trace_graph |
Build call graphs |
grepai_index_status |
Check index health |
Usage Examples
Finding Code
Ask Cursor:
"Find code that handles user login"
Cursor uses grepai_search to find semantically related code.
Understanding Dependencies
Ask Cursor:
"What functions call validateToken?"
Cursor uses grepai_trace_callers to show all callers.
Code Navigation
Ask Cursor:
"Show me the call graph for processPayment"
Cursor uses grepai_trace_graph to display dependencies.
Cursor Settings Integration
Enable MCP in Settings
- Open Cursor Settings (
Cmd+,/Ctrl+,) - Search for "MCP"
- Ensure MCP is enabled
Verify MCP Status
- Open Command Palette (
Cmd+Shift+P/Ctrl+Shift+P) - Search "MCP"
- Check connected servers
Windsurf Configuration
Windsurf uses the same MCP format as Cursor:
Location
Create .windsurf/mcp.json:
{
"mcpServers": {
"grepai": {
"command": "grepai",
"args": ["mcp-serve"]
}
}
}
Multiple Projects Setup
Option 1: Separate Configs
Each project has its own .cursor/mcp.json with appropriate cwd.
Option 2: Workspaces
# Create workspace
grepai workspace create dev
grepai workspace add dev /path/to/project1
grepai workspace add dev /path/to/project2
{
"mcpServers": {
"grepai": {
"command": "grepai",
"args": ["mcp-serve", "--workspace", "dev"]
}
}
}
Environment Variables
If GrepAI uses environment variables (like API keys):
{
"mcpServers": {
"grepai": {
"command": "grepai",
"args": ["mcp-serve"],
"env": {
"OPENAI_API_KEY": "sk-..."
}
}
}
}
Better: Set environment variables in your shell profile instead.
Troubleshooting
MCP Not Recognized
❌ Problem: Cursor doesn't see GrepAI tools
✅ Solutions:
- Check file location:
.cursor/mcp.jsonin project root - Verify JSON syntax (no trailing commas)
- Restart Cursor completely
- Check
grepaiis in PATH
Search Returns Nothing
❌ Problem: Empty search results
✅ Solutions:
- Ensure index exists:
grepai status - Run
grepai watchfirst - Verify working directory
Connection Errors
❌ Problem: MCP connection failed
✅ Solutions:
- Test manually:
grepai mcp-serve - Check Ollama:
curl http://localhost:11434/api/tags - Look at Cursor's developer console for errors
Wrong Results
❌ Problem: Results from wrong project
✅ Solutions:
- Set explicit
cwdin config - Check you opened the right folder in Cursor
- Use
grepai_index_statusto verify
Performance Tips
- Background daemon: Keep
grepai watch --backgroundrunning - Use compact mode: MCP tools use compact by default
- Limit results: AI will request appropriate limits
- Index regularly: Especially after git pull
Comparison: Cursor vs Claude Code
| Feature | Cursor | Claude Code |
|---|---|---|
| Config location | .cursor/mcp.json |
~/.claude/mcp.json |
| Setup command | Manual JSON | claude mcp add |
| Project scope | Per-project or global | Global |
| IDE integration | Native | Terminal |
Best Practices
- Version control: Add
.cursor/mcp.jsonto git (without secrets) - Team setup: Document MCP config in README
- Keep index fresh: Run watch daemon
- Test locally: Verify
grepai mcp-serveworks first - Use workspaces: For multi-project setups
Removing Integration
Delete .cursor/mcp.json and restart Cursor.
Or remove just GrepAI:
{
"mcpServers": {
// Remove grepai entry
}
}
Output Format
Successful Cursor setup:
✅ GrepAI MCP Integration for Cursor
Config: .cursor/mcp.json
Server: grepai mcp-serve
Status: Ready
Available tools:
- grepai_search
- grepai_trace_callers
- grepai_trace_callees
- grepai_trace_graph
- grepai_index_status
Cursor AI can now search your code semantically!
Test: Ask Cursor "search for authentication code"
How to use grepai-mcp-cursor on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add grepai-mcp-cursor
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches grepai-mcp-cursor from GitHub repository yoanbernabeu/grepai-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate grepai-mcp-cursor. Access the skill through slash commands (e.g., /grepai-mcp-cursor) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★28 reviews- ★★★★★Nia Martinez· Dec 20, 2024
grepai-mcp-cursor reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ava Okafor· Dec 16, 2024
grepai-mcp-cursor is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Rahul Santra· Nov 15, 2024
Useful defaults in grepai-mcp-cursor — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kofi Martinez· Nov 11, 2024
grepai-mcp-cursor has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ava Park· Nov 7, 2024
Keeps context tight: grepai-mcp-cursor is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Harper Jackson· Oct 26, 2024
I recommend grepai-mcp-cursor for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Pratham Ware· Oct 6, 2024
Registry listing for grepai-mcp-cursor matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kofi Zhang· Oct 2, 2024
grepai-mcp-cursor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Henry Wang· Sep 13, 2024
Registry listing for grepai-mcp-cursor matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Yash Thakker· Sep 9, 2024
Keeps context tight: grepai-mcp-cursor is the kind of skill you can hand to a new teammate without a long onboarding doc.
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