[pull] main from modelcontextprotocol:main

README.md

@@ -72,6 +72,7 @@ Official integrations are maintained by companies building production ready MCP
 - <img height="12" width="12" src="https://kagi.com/favicon.ico" alt="Kagi Logo" /> **[Kagi Search](https://github.com/kagisearch/kagimcp)** - Search the web using Kagi's search API
 - <img height="12" width="12" src="https://langfuse.com/favicon.ico" alt="Langfuse Logo" /> **[Langfuse Prompt Management](https://github.com/langfuse/mcp-server-langfuse)** - Open-source tool for collaborative editing, versioning, evaluating, and releasing prompts.
 - <img height="12" width="12" src="https://lingo.dev/favicon.ico" alt="Lingo.dev Logo" /> **[Lingo.dev](https://github.com/lingodotdev/lingo.dev/blob/main/mcp.md)** - Make your AI agent speak every language on the planet, using [Lingo.dev](https://lingo.dev) Localization Engine.
+- <img height="12" width="12" src="https://www.make.com/favicon.ico" alt="Make Logo" /> **[Make](https://github.com/integromat/make-mcp-server)** - Turn your [Make](https://www.make.com/) scenarios into callable tools for AI assistants.
 - <img height="12" width="12" src="https://www.meilisearch.com/favicon.ico" alt="Meilisearch Logo" /> **[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)** - Interact & query with Meilisearch (Full-text & semantic search API)
 - <img height="12" width="12" src="https://metoro.io/static/images/logos/Metoro.svg" /> **[Metoro](https://github.com/metoro-io/metoro-mcp-server)** - Query and interact with kubernetes environments monitored by Metoro
 - <img height="12" width="12" src="https://milvus.io/favicon-32x32.png" /> **[Milvus](https://github.com/zilliztech/mcp-server-milvus)** - Search, Query and interact with data in your Milvus Vector Database.
@@ -102,10 +103,7 @@ A growing set of community-developed and maintained servers demonstrates various
 > **Note:** Community servers are **untested** and should be used at **your own risk**. They are not affiliated with or endorsed by Anthropic.
 - **[Ableton Live](https://github.com/Simon-Kansara/ableton-live-mcp-server)** - an MCP server to control Ableton Live.
 - **[Airbnb](https://github.com/openbnb-org/mcp-server-airbnb)** - Provides tools to search Airbnb and get listing details.
-- **[AWS](https://github.com/rishikavikondala/mcp-server-aws)** - Perform operations on your AWS resources using an LLM
-- **[AWS Athena](https://github.com/lishenxydlgzs/aws-athena-mcp)** - A MCP server for AWS Athena to run SQL queries on Glue Catalog
-- **[AWS Cost Explorer](https://github.com/aarora79/aws-cost-explorer-mcp-server)** - Optimize your AWS spend (including Amazon Bedrock spend) with this MCP server by examining spend across regions, services, instance types and foundation models ([demo video](https://www.youtube.com/watch?v=WuVOmYLRFmI&feature=youtu.be)).
-- **[AWS S3](https://github.com/aws-samples/sample-mcp-server-s3)** - A sample MCP server for AWS S3 that flexibly fetches objects from S3 such as PDF documents
+- **[Algorand](https://github.com/GoPlausible/algorand-mcp)** - A comprehensive MCP server for tooling interactions (40+) and resource accessibility (60+) plus many useful prompts for interacting with the Algorand blockchain.
 - **[Airflow](https://github.com/yangkyeongmo/mcp-server-apache-airflow)** - A MCP Server that connects to [Apache Airflow](https://airflow.apache.org/) using official python client.
 - **[Airtable](https://github.com/domdomegg/airtable-mcp-server)** - Read and write access to [Airtable](https://airtable.com/) databases, with schema inspection.
 - **[Airtable](https://github.com/felores/airtable-mcp)** - Airtable Model Context Protocol Server.
@@ -114,7 +112,11 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Any Chat Completions](https://github.com/pyroprompts/any-chat-completions-mcp)** - Interact with any OpenAI SDK Compatible Chat Completions API like OpenAI, Perplexity, Groq, xAI and many more.
 - **[ArangoDB](https://github.com/ravenwits/mcp-server-arangodb)** - MCP Server that provides database interaction capabilities through [ArangoDB](https://arangodb.com/).
 - **[Atlassian](https://github.com/sooperset/mcp-atlassian)** - Interact with Atlassian Cloud products (Confluence and Jira) including searching/reading Confluence spaces/pages, accessing Jira issues, and project metadata.
-- **[Azure ADX](https://github.com/pab1it0/adx-mcp-server)** - Query and analyze Azure Data Explorer databases
+- **[AWS](https://github.com/rishikavikondala/mcp-server-aws)** - Perform operations on your AWS resources using an LLM.
+- **[AWS Athena](https://github.com/lishenxydlgzs/aws-athena-mcp)** - A MCP server for AWS Athena to run SQL queries on Glue Catalog.
+- **[AWS Cost Explorer](https://github.com/aarora79/aws-cost-explorer-mcp-server)** - Optimize your AWS spend (including Amazon Bedrock spend) with this MCP server by examining spend across regions, services, instance types and foundation models ([demo video](https://www.youtube.com/watch?v=WuVOmYLRFmI&feature=youtu.be)).
+- **[AWS S3](https://github.com/aws-samples/sample-mcp-server-s3)** - A sample MCP server for AWS S3 that flexibly fetches objects from S3 such as PDF documents.
+- **[Azure ADX](https://github.com/pab1it0/adx-mcp-server)** - Query and analyze Azure Data Explorer databases.
 - **[Base Free USDC Transfer](https://github.com/magnetai/mcp-free-usdc-transfer)** - Send USDC on [Base](https://base.org) for free using Claude AI! Built with [Coinbase CDP](https://docs.cdp.coinbase.com/mpc-wallet/docs/welcome).
 - **[BigQuery](https://github.com/LucasHild/mcp-server-bigquery)** (by LucasHild) - This server enables LLMs to inspect database schemas and execute queries on BigQuery.
 - **[BigQuery](https://github.com/ergut/mcp-bigquery-server)** (by ergut) - Server implementation for Google BigQuery integration that enables direct BigQuery database access and querying capabilities

src/everything/README.md

@@ -96,6 +96,20 @@ Resource features:
      - `style` (string): Output style preference
    - Returns: Multi-turn conversation with images
 
+### Logging
+
+The server sends random-leveled log messages every 15 seconds, e.g.:
+
+```json
+{
+  "method": "notifications/message",
+  "params": {
+	"level": "info",
+	"data": "Info-level message"
+  }
+}
+```
+
 ## Usage with Claude Desktop
 
 Add to your `claude_desktop_config.json`:

src/everything/everything.ts

@@ -9,6 +9,7 @@ import {
   ListResourcesRequestSchema,
   ListResourceTemplatesRequestSchema,
   ListToolsRequestSchema,
+  LoggingLevel,
   ReadResourceRequestSchema,
   Resource,
   SetLevelRequestSchema,
@@ -99,10 +100,10 @@ export const createServer = () => {
   );
 
   let subscriptions: Set<string> = new Set();
-  let updateInterval: NodeJS.Timeout | undefined;
-
+  let subsUpdateInterval: NodeJS.Timeout | undefined;
   // Set up update interval for subscribed resources
-  updateInterval = setInterval(() => {
+
+  subsUpdateInterval = setInterval(() => {
     for (const uri of subscriptions) {
       server.notification({
         method: "notifications/resources/updated",
@@ -111,6 +112,34 @@ export const createServer = () => {
     }
   }, 5000);
 
+  let logLevel: LoggingLevel = "debug";
+  let logsUpdateInterval: NodeJS.Timeout | undefined;
+  const messages = [
+    {level: "debug", data: "Debug-level message"},
+    {level: "info", data: "Info-level message"},
+    {level: "notice", data: "Notice-level message"},
+    {level: "warning", data: "Warning-level message"},
+    {level: "error", data: "Error-level message"},
+    {level: "critical", data: "Critical-level message"},
+    {level: "alert", data: "Alert level-message"},
+    {level: "emergency", data: "Emergency-level message"}
+  ]
+
+  const isMessageIgnored = (level:LoggingLevel):boolean => {
+    const currentLevel = messages.findIndex((msg) => logLevel === msg.level);
+    const messageLevel =  messages.findIndex((msg) => level === msg.level);
+    return messageLevel < currentLevel;
+  }
+
+  // Set up update interval for random log messages
+  logsUpdateInterval = setInterval(() => {
+    let message = {
+      method: "notifications/message",
+      params: messages[Math.floor(Math.random() * messages.length)],
+    }
+    if (!isMessageIgnored(message.params.level as LoggingLevel)) server.notification(message);
+  }, 15000);
+
   // Helper method to request sampling from client
   const requestSampling = async (
     context: string,
@@ -451,7 +480,7 @@ export const createServer = () => {
 
     if (name === ToolName.ANNOTATED_MESSAGE) {
       const { messageType, includeImage } = AnnotatedMessageSchema.parse(args);
-      
+
       const content = [];
 
       // Main message with different priorities/audiences based on type
@@ -511,7 +540,7 @@ export const createServer = () => {
       if (!resourceId) return { completion: { values: [] } };
 
       // Filter resource IDs that start with the input value
-      const values = EXAMPLE_COMPLETIONS.resourceId.filter(id => 
+      const values = EXAMPLE_COMPLETIONS.resourceId.filter(id =>
         id.startsWith(argument.value)
       );
       return { completion: { values, hasMore: false, total: values.length } };
@@ -522,7 +551,7 @@ export const createServer = () => {
       const completions = EXAMPLE_COMPLETIONS[argument.name as keyof typeof EXAMPLE_COMPLETIONS];
       if (!completions) return { completion: { values: [] } };
 
-      const values = completions.filter(value => 
+      const values = completions.filter(value =>
         value.startsWith(argument.value)
       );
       return { completion: { values, hasMore: false, total: values.length } };
@@ -533,24 +562,24 @@ export const createServer = () => {
 
   server.setRequestHandler(SetLevelRequestSchema, async (request) => {
     const { level } = request.params;
+    logLevel = level;
 
     // Demonstrate different log levels
     await server.notification({
       method: "notifications/message",
       params: {
         level: "debug",
         logger: "test-server",
-        data: `Logging level set to: ${level}`,
+        data: `Logging level set to: ${logLevel}`,
       },
     });
 
     return {};
   });
 
   const cleanup = async () => {
-    if (updateInterval) {
-      clearInterval(updateInterval);
-    }
+    if (subsUpdateInterval) clearInterval(subsUpdateInterval);
+    if (logsUpdateInterval) clearInterval(logsUpdateInterval);
   };
 
   return { server, cleanup };