mcp move tool

Author: rawatSingh2022

docs/apps/1_agentIntroduction.md renamed to .bkp/apps/1_agentIntroduction.md

@@ -0,0 +1,17 @@
+{
+  "rootHash": "432471293d81271bc74d88d0a0e4428a4b4ab8aa9f2e6e10850774334e8b2b8c",
+  "leaves": [
+    "2621d2c68302813173b10913b6197d07ae8416396a2f8aa0a64e488cc3760c43",
+    "ecf9116121a771be597830df649273217be987f12c2dd0c87ebf30054795d6ad"
+  ],
+  "filesList": [
+    {
+      "path": ".codebolt/merkle_tree.json",
+      "hash": "0626188b26fc0cf6989bd00cd77fc7fe145e386c6be0acc387360521e626feb8"
+    },
+    {
+      "path": ".codebolt/projectState.json",
+      "hash": "53787d2f86eb9be83094c1f8bda10f04eb81899ebc59d87089a206602baecd92"
+    }
+  ]
+}

docs/apps/2_publish.md renamed to .bkp/apps/2_publish.md

@@ -0,0 +1,5 @@
+{
+  "ports": [
+    3000
+  ]
+}

.codebolt/74779_output.txt

@@ -8,20 +8,29 @@
             "type": "leaf",
             "data": {
               "views": [
-                "Code",
-                "0e7ba2fb-4f85-485e-a1ef-b12ef330b962",
-                "Preview"
+                "Code"
               ],
               "activeView": "Code",
               "id": "1"
             },
-            "size": 1536
+            "size": 592
+          },
+          {
+            "type": "leaf",
+            "data": {
+              "views": [
+                "Chat"
+              ],
+              "activeView": "Chat",
+              "id": "2"
+            },
+            "size": 592
           }
         ],
-        "size": 756
+        "size": 860
       },
-      "width": 1536,
-      "height": 756,
+      "width": 1184,
+      "height": 860,
       "orientation": "HORIZONTAL"
     },
     "panels": {
@@ -32,18 +41,11 @@
         "title": "Code",
         "renderer": "always"
       },
-      "0e7ba2fb-4f85-485e-a1ef-b12ef330b962": {
-        "id": "0e7ba2fb-4f85-485e-a1ef-b12ef330b962",
-        "contentComponent": "Terminal",
-        "tabComponent": "props.defaultTabComponent",
-        "title": "Terminal",
-        "renderer": "always"
-      },
-      "Preview": {
-        "id": "Preview",
-        "contentComponent": "Preview",
+      "Chat": {
+        "id": "Chat",
+        "contentComponent": "Chat",
         "tabComponent": "props.defaultTabComponent",
-        "title": "Preview",
+        "title": "Chat",
         "renderer": "always"
       }
     },

.codebolt/chat.json

@@ -1,7 +1,5 @@
 {
   "ports": [
-    3000,
-    1123,
-    3000
+    3003
   ]
 }

.codebolt/debug.json

@@ -2,12 +2,44 @@
 sidebar_label: About Remix Agents
 ---
 
-# About Remix Agents
+# Remix Agent
 
-Remix Agents are a type of agent that allows you to remix existing agents to create new ones.
+## Overview
 
-## How to use Remix Agents
+The Remix Agent is a specialized version of an existing agent designed to provide greater flexibility. It enables the modification of both the model and the MCP (Model Context Protocol) that the agent employs. This functionality is particularly beneficial in circumstances requiring real-time adjustments, negating the need for deploying a new agent version.
 
-1. Go to the Remix Agents page
-2. Click on the agent you want to remix
-3. Click on the remix button
+## Key Features
+
+- **Model Change**: Effortlessly update the model used by the agent to align with new requirements or datasets.
+- **MCP Adjustment**: Alter the MCP configuration to facilitate customized processing workflows.
+
+## Usage
+
+The Remix Agent is suitable for environments where there is a need for real-time adjustments to agent behavior. This can be due to varying processing requirements or different resource configurations.
+
+
+1. Navigate to the chat window and click on the "Create Agent" option.
+   ![How to create remix agent](../../../static/img/howtocreateremix.png)
+
+2. Select the "Remix Agent" from the options available.
+   ![Click on Remix Agent](../../../static/img/selectremix.png)
+
+3. Modify the settings of the agent you wish to remix according to your requirements.
+   ![Modify settings](../../../static/img/modifymodelormcps.png)
+
+## Using Local MCPs
+
+Remix Agents also support using local MCPs (Model Context Protocol), allowing you to leverage your own computing resources for agent execution. This feature is particularly useful for:
+
+- Processing sensitive data that should not leave your environment
+- Reducing latency by running MCPs on local infrastructure
+- Developing and testing custom MCPs before deployment
+
+To use a local MCP with your Remix Agent:
+
+1. Ensure your local MCP service is running and properly configured
+2. When creating or modifying a Remix Agent, select the "Local MCP" option
+3. Enter the connection details for your local MCP service
+4. Test the connection before finalizing your agent configuration
+
+Local MCPs provide enhanced control over the execution environment while maintaining the flexibility that Remix Agents offer.

.codebolt/merkle_tree.json

@@ -36,6 +36,9 @@ cbapicategory:
     - name: Git
       link: /docs/api/git
       description: This is a module that provides various git functionalities.
+    - name: History
+      link: /docs/api/history
+      description: This module provides chat history management and summarization functionality for maintaining conversation context.
     - name: Knowledge
       link: /docs/api/knowledge
       description: This is a module that provides various knowledge related functionalities.
@@ -51,9 +54,6 @@ cbapicategory:
     - name: Rag
       link: /docs/api/rag
       description: This is a module that provides various RAG related functionalities.
-    - name: Search
-      link: /docs/api/search
-      description: This is a module that provides various search related functionalities.
     - name: TaskPlanner
       link: /docs/api/taskplaner
       description: This is a module that provides various task planner related functionalities.
@@ -63,15 +63,15 @@ cbapicategory:
     - name: Tokenizer
       link: /docs/api/tokenizer
       description: Tokenization related Functionalities are provided so that the code can be tokenized and the tokens can be used to perform and measure various operations.
+    - name: ToolBox
+      link: /docs/api/toolbox
+      description: MCP (Model Context Protocol) framework for creating and managing modular tools and services with support for resources, prompts, and session management.
     - name: VectorDB
       link: /docs/api/vectordb
       description: Provides Vector DB related Functionalities for Storing and Managing of Vector Embedding
     - name: MCP
       link: /docs/api/mcp
       description: Manages modular tools and services through WebSocket communication. Execute tools, retrieve tool details, and monitor enabled MCP instances in real-time
-    - name: Agent
-      link: /docs/api/agent
-      description: Manages AI agents for tasks using WebSocket. Start agents, assign tasks, and track their status in real-time.
 
 ---
 # Codebolt AI Agent Framework API

.codebolt/null.json

@@ -12,13 +12,13 @@ cbparameters:
       description: Maximum number of agents to return (default 1).
     - name: agents
       typeName: array
-      description: List of agents to filter in vector database.
+      description: List of agents to filter in vector database (empty array for no filtering).
     - name: agentLocation
       typeName: AgentLocation
-      description: Location preference for agents (ALL, LOCAL_ONLY, REMOTE_ONLY).
+      description: Location preference for agents (ALL, LOCAL_ONLY, REMOTE_ONLY). Default is ALL.
     - name: getFrom
       typeName: FilterUsing
-      description: Filtering method (USE_AI, USE_VECTOR_DB, USE_BOTH).
+      description: Filtering method (USE_AI, USE_VECTOR_DB, USE_BOTH). Default is USE_VECTOR_DB.
   returns:
     signatureTypeName: Promise
     description: A promise that resolves with the agent details.
@@ -36,7 +36,7 @@ data:
 ### Examples
 
 ```js
-// Example 1: Find a single agent for a task
+// Example 1: Find a single agent for a task using default parameters
 const agent = await codebolt.agent.findAgent("dataProcessing");
 console.log("Found Agent:", agent);
 

.codebolt/projectState.json

@@ -1,7 +1,7 @@
 ---
 name: getAgent
 cbbaseinfo:
-  description: Retrieves an agent based on the specified task.
+  description: "[DEPRECATED] Retrieves an agent based on the specified task. Use findAgent instead."
 cbparameters:
   parameters:
     - name: task
@@ -21,6 +21,8 @@ data:
 <CBBaseInfo/>
 <CBParameters/>
 
+> **⚠️ Deprecated:** This function is deprecated. Please use [findAgent](/docs/api/agent/findAgent) instead.
+
 ### Example
 
 ```js

.codebolt/undefined.json

@@ -6,7 +6,7 @@ cbparameters:
   parameters:
     - name: type
       typeName: Agents
-      description: The type of agents to list (default is Agents.DOWNLOADED)
+      description: The type of agents to list (LOCAL, ALL, DOWNLOADED). Default is DOWNLOADED.
   returns:
     signatureTypeName: Promise
     description: A promise that resolves with the list of agents
@@ -29,15 +29,11 @@ const downloadedAgents = await codebolt.agent.getAgentsList();
 console.log("Downloaded Agents:", downloadedAgents);
 
 // Example 2: Getting list of local agents
-const localAgents = await codebolt.agent.getAgentsList(Agents.LOCAL);
-console.log("LOCAL Agents:", localAgents);
+const localAgents = await codebolt.agent.getAgentsList(codebolt.agent.Agents.LOCAL);
+console.log("Local Agents:", localAgents);
 
-// Example 3: Getting list of cloud agents
-const cloudAgents = await codebolt.agent.getAgentsList(Agents.CLOUD);
-console.log("CLOUD Agents:", cloudAgents);
-
-// Example 4: Getting list of all agents
-const allAgents = await codebolt.agent.getAgentsList(Agents.ALL);
-console.log("ALL Agents:", allAgents);
+// Example 3: Getting list of all agents
+const allAgents = await codebolt.agent.getAgentsList(codebolt.agent.Agents.ALL);
+console.log("All Agents:", allAgents);
 ```
 

docs/agents/4_remixagents/1_aboutremixagents.md

@@ -0,0 +1,34 @@
+---
+name: getAgentsDetail
+cbbaseinfo:
+  description: Retrieves detailed information for a list of specified agents.
+cbparameters:
+  parameters:
+    - name: agentList
+      typeName: array
+      description: List of agent IDs to get details for (empty array for all agents).
+  returns:
+    signatureTypeName: Promise
+    description: A promise that resolves with the detailed information of the specified agents.
+    typeArgs:
+      - type: reference
+        name: any
+data:
+  name: getAgentsDetail
+  category: agent
+  link: getAgentsDetail.md
+---
+<CBBaseInfo/>
+<CBParameters/>
+
+### Example
+
+```js
+// Example 1: Get details for specific agents
+const agentDetails = await codebolt.agent.getAgentsDetail(["agent-id-1", "agent-id-2"]);
+console.log("Agent Details:", agentDetails);
+
+// Example 2: Get details for all agents
+const allAgentDetails = await codebolt.agent.getAgentsDetail([]);
+console.log("All Agent Details:", allAgentDetails);
+``` 

docs/agents/CodeboltRegistry/AboutRegistry.md

@@ -1,17 +1,17 @@
 ---
 cbapicategory:
-  - name: getAgent
-    link: /docs/api/agent/getAgent
-    description: Retrieves an agent based on the specified task via WebSocket.
   - name: startAgent
     link: /docs/api/agent/startAgent
-    description: Starts an agent for the specified task via WebSocket.
+    description: Starts an agent for the specified task with a given agent ID .
   - name: findAgent
     link: /docs/api/agent/findAgent
-    description: Retrieves an agent based on the specified task with filtering options.
+    description: Finds agents for a specified task with filtering options by location, source and maximum results.
   - name: getAgentsList
     link: /docs/api/agent/getAgentsList
-    description: Lists all available agents of a specific type.
+    description: Lists available agents of a specific type (downloaded, local, or all).
+  - name: getAgentsDetail
+    link: /docs/api/agent/getAgentsDetail
+    description: Retrieves detailed information for a list of specified agents .
 ---
-# agent
+# Agent
 <CBAPICategory />

docs/api/1_api_index.md

@@ -4,6 +4,9 @@ cbbaseinfo:
   description: Starts an agent for the specified task.
 cbparameters:
   parameters:
+    - name: agentId
+      typeName: string
+      description: The ID of the agent to start.
     - name: task
       typeName: string
       description: The task for which the agent should be started.
@@ -25,7 +28,7 @@ data:
 
 ```js
 // Example: Starting an agent for a task
-const startResponse = await codebolt.agent.startAgent("dataProcessing");
+const startResponse = await codebolt.agent.startAgent("agent-123", "dataProcessing");
 console.log("Agent Start Response:", startResponse);
 
 ```

docs/api/agent/findAgent.md

@@ -5,23 +5,20 @@ cbbaseinfo:
 cbparameters:
   parameters: []
   returns:
-    signatureTypeName: Promise
+    signatureTypeName: Promise<any>
     description: A promise that resolves when the Enter action is complete.
-    typeArgs:
-      - type: intrinsic
-        name: unknown
+    typeArgs: []
 data:
   name: enter
   category: browser
   link: enter.md
 ---
 <CBBaseInfo/> 
- <CBParameters/>
+<CBParameters/>
 
 ### Example
 
 ```js
-
 // Navigate to the sign-in page
 await codebolt.browser.goToPage("https://example.com/signin");
 
@@ -33,9 +30,8 @@ await codebolt.browser.type("#password", "your_password");
 
 // Simulate pressing the Enter key to submit the form
 await codebolt.browser.enter();
-
 ```
 
-### Explanation:
+### Explanation
 
-The codebolt.browser.enter() function is used to submit the form. Suppose there is a login form and I want to automatically submit it using a script. Then, we want to send text to a username field on the login page using the type() function, which has two parameters: eventid and "value". After inputting all the information, we call enter() to submit the form.
+The `codebolt.browser.enter()` function simulates pressing the Enter key on the current page. This is particularly useful for submitting forms, activating default buttons, or triggering other Enter key events on the page. After inputting information into form fields using the `type()` function, you can call `enter()` to submit the form without needing to locate and click a submit button.