String MCP Tools for AI Agents

"How many R's in strawberry?" This question became a meme because LLMs consistently get it wrong. String counting, pattern extraction, and text manipulation seem trivial — but LLMs process tokens, not characters. These tools give your agent precise string operations.

All String Tools (33)

Your agent gets access to 33 string tools via the /mcp/string/ endpoint. Here's the complete list:

Agent Scenarios

Here's how real agents use these tools:

{ "text": "Check this message length" }

{ "text": "Your long description...", "length": 160 }

{ "text": "1234", "length": 8, "char": "0" }

MCP Setup

Add string tools to your agent in under 2 minutes. Choose your client:

Claude Desktop / Claude Code

Add this to your MCP config:

{
  "mcpServers": {
    "tinyfn-string": {
      "url": "https://api.tinyfn.io/mcp/string/",
      "headers": {
        "X-API-Key": "your-api-key"
      }
    }
  }
}

Cursor

Go to Settings > MCP and add a new server:

• Type: SSE
• URL: https://api.tinyfn.io/mcp/string/sse
• Headers: X-API-Key: your-api-key

Tip: Use the category-specific endpoint (/mcp/string/) for the best experience. The all-in-one endpoint (/mcp/all/) works too but has 500+ tools which some clients handle less efficiently.

When to Use These Tools

Use string MCP tools when your agent needs to:

• Guarantee correctness — when wrong answers have real consequences
• Process user data — when you're operating on actual user input, not hypothetical examples
• Maintain consistency — when the same input must always produce the same output

You don't need these tools for casual conversation or rough estimates. Use them when precision matters.

Frequently Asked Questions