This skill provides a complete reference for all tools available through GrepAI's MCP server.
Works with
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node --versiongrepai-mcp-toolsExecute the skills CLI command in your project's root directory to begin installation:
Fetches grepai-mcp-tools from yoanbernabeu/grepai-skills and configures it for Cursor.
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Confirm successful installation by checking the skill directory location:
Restart Cursor to activate grepai-mcp-tools. Access via /grepai-mcp-tools in your agent's command palette.
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Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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This skill provides a complete reference for all tools available through GrepAI's MCP server.
grepai mcp-serve
The server exposes tools via the Model Context Protocol.
Semantic code search using embeddings.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
query |
string | Yes | - | Search query describing what to find |
limit |
number | No | 10 | Maximum results to return |
compact |
boolean | No | false | Return compact output (no content) |
format |
string | No | "json" | Output format: "json" or "toon" (v0.26.0+) |
{
"tool": "grepai_search",
"parameters": {
"query": "user authentication middleware",
"limit": 5,
"compact": true,
"format": "toon"
}
}
{
"q": "user authentication middleware",
"r": [
{"s": 0.92, "f": "src/auth/middleware.go", "l": "15-45"},
{"s": 0.85, "f": "src/auth/jwt.go", "l": "23-55"},
{"s": 0.78, "f": "src/handlers/auth.go", "l": "10-40"}
],
"t": 3
}
{
"query": "user authentication middleware",
"results": [
{
"score": 0.92,
"file": "src/auth/middleware.go",
"start_line": 15,
"end_line": 45,
"content": "func AuthMiddleware() gin.HandlerFunc {\n ..."
}
],
"total": 3
}
Find all functions that call a specified symbol.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
symbol |
string | Yes | - | Function/method name to trace |
compact |
boolean | No | false | Return compact output (no context) |
format |
string | No | "json" | Output format: "json" or "toon" (v0.26.0+) |
{
"tool": "grepai_trace_callers",
"parameters": {
"symbol": "Login",
"compact": true
}
}
{
"q": "Login",
"m": "callers",
"c": 3,
"r": [
{"f": "handlers/auth.go", "l": 42, "fn": "HandleAuth"},
{"f": "handlers/auth_test.go", "l": 15, "fn": "TestLoginSuccess"},
{"f": "cmd/main.go", "l": 88, "fn": "RunCLI"}
]
}
{
"query": "Login",
"mode": "callers",
"count": 3,
"results": [
{
"file": "handlers/auth.go",
"line": 42,
"caller": "HandleAuth",
"context": "user.Login(ctx, credentials)"
}
]
}
Find all functions called by a specified symbol.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
symbol |
string | Yes | - | Function/method name to trace |
compact |
boolean | No | false | Return compact output (no context) |
format |
string | No | "json" | Output format: "json" or "toon" (v0.26.0+) |
{
"tool": "grepai_trace_callees",
"parameters": {
"symbol": "ProcessOrder",
"compact": true
}
}
{
"q": "ProcessOrder",
"m": "callees",
"c": 4,
"r": [
{"f": "services/order.go", "l": 45, "fn": "validateOrder"},
{"f": "services/order.go", "l": 48, "fn": "calculateTotal"},
{"f": "services/order.go", "l": 51, "fn": "applyDiscount"},
{"f": "services/order.go", "l": 55, "fn": "sendConfirmation"}
]
}
Build a complete call graph starting from a symbol.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
symbol |
string | Yes | - | Root function for the graph |
depth |
number | No | 2 | Maximum recursion depth |
compact |
boolean | No | false | Return compact JSON format |
format |
string | No | "json" | Output format: "json" or "toon" (v0.26.0+) |
{
"tool": "grepai_trace_graph",
"parameters": {
"symbol": "main",
"depth": 3,
"compact": true
}
}
{
"q": "main",
"d": 3,
"r": {
"n": "main",
"c": [
{
"n": "initialize",
"c": [
{"n": "loadConfig"},
{"n": "connectDB"}
]
},
{
"n": "startServer",
"c": [
{"n"Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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grepai-mcp-tools has been reliable in day-to-day use. Documentation quality is above average for community skills.
grepai-mcp-tools has been reliable in day-to-day use. Documentation quality is above average for community skills.
grepai-mcp-tools fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
grepai-mcp-tools reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend grepai-mcp-tools for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
grepai-mcp-tools has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in grepai-mcp-tools — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: grepai-mcp-tools is the kind of skill you can hand to a new teammate without a long onboarding doc.
grepai-mcp-tools has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in grepai-mcp-tools — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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