diff --git a/README.md b/README.md
index 264c0f0..1a54446 100644
--- a/README.md
+++ b/README.md
@@ -38,6 +38,15 @@ ENDPOINT=http://localhost:3000/graphql ALLOW_MUTATIONS=true npx mcp-graphql
 ENDPOINT=http://localhost:3000/graphql SCHEMA=./schema.graphql npx mcp-graphql
 ```
 
+
+
+## Running evals
+
+The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found [here](https://www.mcpevals.io/docs).
+
+```bash
+OPENAI_API_KEY=your-key  npx mcp-eval src/evals/evals.ts src/index.ts
+```
 ## Resources
 
 - **graphql-schema**: The server exposes the GraphQL schema as a resource that clients can access. This is either the local schema file or based on an introspection query.
diff --git a/package.json b/package.json
index 1f171cb..d879734 100644
--- a/package.json
+++ b/package.json
@@ -21,6 +21,7 @@
   "dependencies": {
     "@modelcontextprotocol/sdk": "1.6.1",
     "graphql": "^16.10.0",
+    "mcp-evals": "^1.0.18",
     "yargs": "17.7.2",
     "zod": "3.24.2",
     "zod-to-json-schema": "3.24.3"
diff --git a/src/evals/evals.ts b/src/evals/evals.ts
new file mode 100644
index 0000000..d3786f7
--- /dev/null
+++ b/src/evals/evals.ts
@@ -0,0 +1,32 @@
+//evals.ts
+
+import { EvalConfig } from 'mcp-evals';
+import { openai } from "@ai-sdk/openai";
+import { grade, EvalFunction } from "mcp-evals";
+
+const introspectSchemaEval: EvalFunction = {
+    name: 'introspect-schema Evaluation',
+    description: 'Evaluates the introspect-schema tool functionality',
+    run: async () => {
+        const result = await grade(openai("gpt-4"), "Please introspect the schema for the GraphQL endpoint and return the type definitions.");
+        return JSON.parse(result);
+    }
+};
+
+const queryGraphqlEval: EvalFunction = {
+    name: 'query-graphql Tool Evaluation',
+    description: 'Evaluates the query-graphql tool functionality',
+    run: async () => {
+        const result = await grade(openai("gpt-4"), "Please query the GraphQL endpoint for a list of items, then attempt a mutation to add a new item.");
+        return JSON.parse(result);
+    }
+};
+
+const config: EvalConfig = {
+    model: openai("gpt-4"),
+    evals: [introspectSchemaEval, queryGraphqlEval]
+};
+  
+export default config;
+  
+export const evals = [introspectSchemaEval, queryGraphqlEval];
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