MCPInstall

grepai-mcp-tools

Reference for all GrepAI MCP tools. Use this skill to understand available MCP tools and their parameters.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-mcp-tools
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads grepai-mcp-tools automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

GrepAI MCP Tools Reference

This skill provides a complete reference for all tools available through GrepAI's MCP server.

When to Use This Skill

  • Understanding available MCP tools
  • Learning tool parameters and options
  • Integrating GrepAI with AI assistants
  • Debugging MCP tool usage

Starting the MCP Server

grepai mcp-serve

The server exposes tools via the Model Context Protocol.

Available Tools

1. grepai_search

Semantic code search using embeddings.

Parameters

ParameterTypeRequiredDefaultDescription
querystringYes-Search query describing what to find
limitnumberNo10Maximum results to return
compactbooleanNofalseReturn compact output (no content)
formatstringNo"json"Output format: "json" or "toon" (v0.26.0+)

Example Request

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

Response (Compact)

{
  "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
}

Response (Full)

{
  "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
}

2. grepai_trace_callers

Find all functions that call a specified symbol.

Parameters

ParameterTypeRequiredDefaultDescription
symbolstringYes-Function/method name to trace
compactbooleanNofalseReturn compact output (no context)
formatstringNo"json"Output format: "json" or "toon" (v0.26.0+)

Example Request

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

Response (Compact)

{
  "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"}
  ]
}

Response (Full)

{
  "query": "Login",
  "mode": "callers",
  "count": 3,
  "results": [
    {
      "file": "handlers/auth.go",
      "line": 42,
      "caller": "HandleAuth",
      "context": "user.Login(ctx, credentials)"
    }
  ]
}

3. grepai_trace_callees

Find all functions called by a specified symbol.

Parameters

ParameterTypeRequiredDefaultDescription
symbolstringYes-Function/method name to trace
compactbooleanNofalseReturn compact output (no context)
formatstringNo"json"Output format: "json" or "toon" (v0.26.0+)

Example Request

{
  "tool": "grepai_trace_callees",
  "parameters": {
    "symbol": "ProcessOrder",
    "compact": true
  }
}

Response (Compact)

{
  "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"}
  ]
}

4. grepai_trace_graph

Build a complete call graph starting from a symbol.

Parameters

ParameterTypeRequiredDefaultDescription
symbolstringYes-Root function for the graph
depthnumberNo2Maximum recursion depth
compactbooleanNofalseReturn compact JSON format
formatstringNo"json"Output format: "json" or "toon" (v0.26.0+)

Example Request

{
  "tool": "grepai_trace_graph",
  "parameters": {
    "symbol": "main",
    "depth": 3,
    "compact": true
  }
}

Response (Compact)

{
  "q": "main",
  "d": 3,
  "r": {
    "n": "main",
    "c": [
      {
        "n": "initialize",
        "c": [
          {"n": "loadConfig"},
          {"n": "connectDB"}
        ]
      },
      {
        "n": "startServer",
        "c": [
          {"n": "registerRoutes"}
        ]
      }
    ]
  },
  "s": {"nodes": 6, "depth": 3}
}

Response (Full)

{
  "query": "main",
  "mode": "graph",
  "depth": 3,
  "root": {
    "name": "main",
    "file": "cmd/main.go",
    "line": 10,
    "children": [
      {
        "name": "initialize",
        "file": "cmd/main.go",
        "line": 15,
        "children": [...]
      }
    ]
  },
  "stats": {
    "nodes": 6,
    "max_depth": 3
  }
}

5. grepai_index_status

Check the health and status of the code index.

Parameters

ParameterTypeRequiredDefaultDescription
verbosebooleanNofalseInclude detailed information
formatstringNo"json"Output format: "json" or "toon" (v0.26.0+)

Example Request

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

Response

{
  "status": "healthy",
  "project": "/path/to/project",
  "embedder": {
    "provider": "ollama",
    "model": "nomic-embed-text",
    "status": "connected"
  },
  "store": {
    "backend": "gob",
    "location": ".grepai/index.gob"
  },
  "index": {
    "files": 245,
    "chunks": 1234,
    "last_updated": "2025-01-28T10:30:00Z"
  },
  "daemon": {
    "running": true,
    "pid": 12345
  }
}

Compact Format Reference

When compact: true, responses use abbreviated keys:

Full KeyCompact KeyDescription
queryqSearch query or symbol
resultsrResults array
totaltTotal count
countcCount
scoresSimilarity score
filefFile path
linelLine number(s)
modemTrace mode
depthdGraph depth
namenNode name
childrencChild nodes
statssStatistics
functionfnFunction name

Token Efficiency

Compact mode reduces tokens significantly:

Response TypeFullCompactSavings
Search (5 results)~800~15081%
Trace callers (10)~600~12080%
Trace graph (depth 3)~1200~25079%

Error Responses

Index Not Found

{
  "error": "Index not found. Run 'grepai watch' first.",
  "code": "INDEX_NOT_FOUND"
}

Embedder Connection Failed

{
  "error": "Cannot connect to embedding provider. Is Ollama running?",
  "code": "EMBEDDER_UNAVAILABLE"
}

Symbol Not Found

{
  "error": "Symbol 'FunctionName' not found in index.",
  "code": "SYMBOL_NOT_FOUND"
}

Invalid Parameters

{
  "error": "Parameter 'query' is required.",
  "code": "INVALID_PARAMETERS"
}

Best Practices for AI Integration

  1. Use compact mode: Reduces token usage by ~80%
  2. Limit results: Request only what you need
  3. Check status first: Use grepai_index_status before searches
  4. Handle errors: Check for error responses
  5. Combine tools: Search + trace for full understanding

MCP Protocol Details

Request Format

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "grepai_search",
    "arguments": {
      "query": "authentication",
      "limit": 5,
      "compact": true
    }
  }
}

Response Format

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "content": [
      {
        "type": "text",
        "text": "{\"q\":\"authentication\",\"r\":[...],\"t\":5}"
      }
    ]
  }
}

Output Format

MCP tools reference summary:

📚 GrepAI MCP Tools Reference

Tools available:

1. grepai_search
   - Semantic code search
   - Params: query*, limit, compact

2. grepai_trace_callers
   - Find function callers
   - Params: symbol*, compact

3. grepai_trace_callees
   - Find function callees
   - Params: symbol*, compact

4. grepai_trace_graph
   - Build call graph
   - Params: symbol*, depth, compact

5. grepai_index_status
   - Check index health
   - Params: verbose

* = required parameter

Compact mode: ~80% token reduction

FAQ

What does the grepai-mcp-tools skill do?

Reference for all GrepAI MCP tools. Use this skill to understand available MCP tools and their parameters.

How do I install grepai-mcp-tools?

Run npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-mcp-tools in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/grepai-mcp-tools/ (personal) or .claude/skills/grepai-mcp-tools/ (project).

Which AI agents can use grepai-mcp-tools?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is grepai-mcp-tools safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains grepai-mcp-tools?

It is published by yoanbernabeu in yoanbernabeu/grepai-skills. It has 718 recorded installs.

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