Minor edits

Author: idalithb

website/src/pages/en/ai-suite/ai-introduction.mdx

@@ -6,13 +6,13 @@ Build with speed and scale faster with The Graph's AI.
 
 ## Using AI on The Graph
 
-Instead of relying on static datasets or centralized APIs, you can now access live blockchain data through an **agentic** apps using [Graph Assistant](/ai-suite/graph-assistant/introduction/), [Subgraph MCP](/ai-suite/subgraph-mcp/introduction/), and [Token API MCP](/ai-suite/token-api-mcp/introduction/).
+Instead of relying on static datasets or centralized APIs, you can now access live blockchain data through **agentic** apps using [Graph Assistant](/ai-suite/graph-assistant/introduction/), [Subgraph MCP](/ai-suite/subgraph-mcp/introduction/), and [Token API MCP](/ai-suite/token-api-mcp/introduction/).
 
 ### Why Use Onchain Data with AI?
 
 Using onchain data with AI unlocks powerful new ways to interact with and understand blockchain ecosystems.
 
-- **AI for Non-Technical End Users**: AI can turn complex onchain data into accessible insights. Assistants powered by AI enable you to explore and analyze blockchain data, without coding.
+- **AI for Non-Technical End Users**: AI can turn complex onchain data into accessible insights. Assistants powered by AI enable you to explore and analyze blockchain data without coding.
 - **AI for Developers**: You can use AI to interact directly with The Graph's data through your agents or build AI-powered applications on top of it. This streamlines development and opens up more intuitive, dynamic use cases.
 
 ## AI for Non-Technical/End Users
@@ -32,8 +32,8 @@ Using onchain data with AI unlocks powerful new ways to interact with and unders
 - "List the top-5 swaps by USD value in the last 24 hours."
 - "Give me the daily volume on Uniswap."
 - "List the 20 most recently registered .eth names."
-- "Whats the best liqudity pool to put my ETH into?"
-- "Total delegated stake in The Graph network?"
+- "What's the best liqudity pool to put my ETH into?"
+- "What is the total delegated stake in The Graph network?"
 
 [Graph Assistant](/ai-suite/graph-assistant/introduction/) will eventually be a one-stop shop for interacting with The Graph. Right now, it's an agentic AI app that uses state-of-the-art AI techniques, LLMs, and MCPs to understand and answer your questions about [Subgraphs](/subgraphs/developing/subgraphs/) and [Token API](/token-api/quick-start/) data.
 

website/src/pages/en/ai-suite/graph-assistant/faq.mdx

@@ -7,19 +7,19 @@ This page summarizes some of the most common questions for developers using Grap
 
 1. What is The Graph Assistant?
 
-The Graph Assistant is an AI-powered chat interface that lets you query blockchain data in plain English. Under the hood, it translates your questions into GraphQL calls against subgraphs and the Token API, then returns results, no coding required.
+The Graph Assistant is an AI-powered chat interface that lets you query blockchain data in plain English. Under the hood, it translates your questions into GraphQL calls against Subgraphs and the Token API, then returns results, no coding required.
 
 2. What is an agentic application?
 
 An agentic application combines AI-driven reasoning with external data sources or APIs to take autonomous actions on your behalf. In this case, Graph Assistant acts as an “agent” that interprets your natural-language prompts, builds and dispatches GraphQL queries, and formats the results so that you don't need to write or manage queries yourself.
 
 3. Which networks and data does Graph Assistant support?
 
-The Assistant has access to Subgraphs across 100+ chains. If a Subgraph is published to The Graph Network and is being indexed, the Assistant can automatically route queries to it. The Assistant also has access to the Token API on Ethereum Mainnet, BSC, Unichain, Arbitrum-One, Optimism, and Polygon.
+The Assistant has access to Subgraphs across multiple chains. If a Subgraph is published to The Graph Network and is being indexed, the Assistant can automatically route queries to it. The Assistant also has access to the Token API on Ethereum Mainnet, BSC, Unichain, Arbitrum-One, Optimism, and Polygon.
 
 4. Is there a usage limit or quota?
 
-10 questions per hour.
+Yes, 10 questions per hour.
 
 5. What if the Assistant can't interpret my question?
 

website/src/pages/en/ai-suite/graph-assistant/how-to-guide.mdx

@@ -53,4 +53,4 @@ You don't need to write queries or understand a Subgraph's schema, you simply as
 - “Show me the 7-day trading volume of XYZ on Ethereum vs. Polygon.”
 - “How many XYZ swaps occurred on Arbitrum yesterday?”
 
-To get started follow the [quickstart](/ai-suite/graph-assistant/quick-start/) and explore it's capabilities.
+To get started follow the [quickstart](/ai-suite/graph-assistant/quick-start/) and explore its capabilities.

website/src/pages/en/ai-suite/graph-assistant/introduction.mdx

@@ -2,7 +2,7 @@
 title: Introduction
 ---
 
-[Graph Assistant](https://thegraph.com/graph-assistant) [Beta] gives instant, code-free access to blockchain data, transforming natural language into precise, AI-powered queries without the need to code.
+[Graph Assistant](https://thegraph.com/graph-assistant) (Beta) gives instant, code-free access to blockchain data, transforming natural language into precise, AI-powered queries without the need to code.
 
 ## Overview
 
@@ -15,8 +15,8 @@ title: Introduction
 
 | Feature | Description |
 | --- | --- |
-| **Friendly Interface** | Conversational access to blockchain data via natural language. You simply ask questions, the Assistant fetches the answer, and renders it as a table |
-| **Backed by Subgraphs** | Uses subgraphs to index protocol-specific data like transactions, events, and protocol metrics |
+| **Friendly Interface** | Conversational access to blockchain data via natural language. You simply ask questions, the Assistant fetches the answer, and renders results. |
+| **Backed by Subgraphs** | Uses subgraphs to index protocol-specific data like transactions, events, and protocol metrics. |
 | **Backed by Token API** | Uses Token API for token-level information like balances, transfers, and metadata. |
 | **No Setup Required** | No need to configure data sources or write queries. |
 | **Automatic Query Building** | The Assistant performs complex queries such as fetching historical token volumes, protocol analytics, or cross-chain data and handles filtering, pagination, and joins across Subgraphs automatically. |

website/src/pages/en/ai-suite/subgraph-mcp/introduction.mdx

@@ -5,7 +5,9 @@ sidebarTitle: 'Introduction'
 
 Subgraph MCP server is an open-source implementation of [Anthropic's Model Context Protocol](https://modelcontextprotocol.io/introduction).
 
-It presents The Graph's Subgraph data through a set of MCP tools that any MCP-compatible client can call. With these tools, clients can search for relevant Subgraphs, inspect GraphQL schemas, and run queries against specific deployments on The Graph Network all within a single, standardized interface. The server itself does not hold a language model. Instead, it translates incoming MCP requests into Subgraph queries and returns the structured results, allowing the client's LLM to transform a natural-language prompt into actionable blockchain data.
+It presents The Graph's Subgraph data through a set of MCP tools that any MCP-compatible client can call. With these tools, clients can search for relevant Subgraphs, inspect GraphQL schemas, and run queries against specific deployments on The Graph Network all within a single, standardized interface.
+
+The server itself does not hold a language model. Instead, it translates incoming MCP requests into Subgraph queries and returns the structured results, allowing the client's LLM to transform a natural-language prompt into actionable blockchain data.
 
 Think of it as a USB-C hub: it standardizes the plug-and-play connection between AI agents and The Graph's Subgraph ecosystem.
 

website/src/pages/en/ai-suite/token-api-mcp/introduction.mdx

@@ -5,7 +5,9 @@ sidebarTitle: 'Introduction'
 
 Token API MCP server is an open-source implementation of [Anthropic's Model Context Protocol](https://modelcontextprotocol.io/introduction).
 
-It makes on-chain token data, including metadata, balances, transfers, and holder statistics, accessible through a set of MCP tools. Any compatible client can use these tools to fetch and analyze token information through a standardized interface. The server itself does not host any language model. It simply converts MCP calls into data look-ups and returns structured results, letting the client's own LLM incorporate the results.
+It makes on-chain token data, including metadata, balances, transfers, and holder statistics, accessible through a set of MCP tools. Any compatible client can use these tools to fetch and analyze token information through a standardized interface.
+
+The server itself does not host any language model. It simply converts MCP calls into data look-ups and returns structured results, letting the client's own LLM incorporate the results.
 
 Think of it as a USB-C hub: it standardizes the plug-and-play connection between AI agents and The Graph's Token API data.