# MCP Server

The MCP Server endpoint delivers a Model Context Protocol (MCP) interface that connects token and wallet data directly into conversational AI workflows. It:

* Maps natural-language intents (e.g., *“show me the price of WIF”*) to underlying API operations
* Provides agentic access to Neglect’s APIs for LLMs, bots, and assistants
* Supports interactive exploration of token markets, wallet portfolios, and historical data without manual endpoint calls

This tag is designed for developers who want to integrate the Neglect API into AI agents, chat interfaces, and automation pipelines that rely on real-time on-chain intelligence.

## MCP Server

> Provides the Model Context Protocol (MCP) server for agentic, LLM-driven workflows. Enables conversational access to token and wallet data via intent-based mappings.

```json
{"openapi":"3.0.1","info":{"title":"Neglect API","version":"1.0.0"},"tags":[{"name":"MCP Server","description":"The MCP Server endpoint delivers a Model Context Protocol (MCP) interface that connects token and wallet data directly into conversational AI workflows. It:\n\n- Maps natural-language intents (e.g., *“show me the price of WIF”*) to underlying API operations\n- Provides agentic access to Neglect’s APIs for LLMs, bots, and assistants\n- Supports interactive exploration of token markets, wallet portfolios, and historical data without manual endpoint calls\n\nThis tag is designed for developers who want to integrate the Neglect API into AI agents, chat interfaces, and automation pipelines that rely on real-time on-chain intelligence."}],"paths":{"/mcp":{"post":{"summary":"MCP Server","description":"Provides the Model Context Protocol (MCP) server for agentic, LLM-driven workflows. Enables conversational access to token and wallet data via intent-based mappings.","operationId":"mcp-server","tags":["MCP Server"]}}}}
```


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.neglect.trade/products/data-services/mcp-server.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.