roo_task_may-31-2025_6-24-56-am.md•22.9 kB
**User:**
<task>
Change the README.md and the CHANGELOG.md so that it reflects the fact that this is the MCP server for Perplexica and thus only provides LLM access for the Perplexica tool.
</task>
<environment_details>
# VSCode Visible Files
CHANGELOG.md
# VSCode Open Tabs
perplexica_mcp_tool.py,README.md,CHANGELOG.md
# Current Time
31.5.2025, 6:18:36 AM (Europe/Berlin, UTC+2:00)
# Current Context Size (Tokens)
(Not available)
# Current Cost
$0.00
# Current Mode
<slug>code</slug>
<name>💻 Code</name>
<model>anthropic/claude-sonnet-4-20250514</model>
# Current Workspace Directory (/Users/the/Developer/thetom42/github/perplexica-mcp) Files
.gitignore
CHANGELOG.md
perplexica_mcp_tool.py
pyproject.toml
README.md
</environment_details>
---
**Assistant:**
<thinking>
I need to update the README.md and CHANGELOG.md files to reflect that this is an MCP server for Perplexica that provides LLM access for the Perplexica tool. Let me first read both files to understand their current content and then make the necessary changes.
I'll start by reading the README.md file to see what it currently contains.
</thinking>
I'll help you update the README.md and CHANGELOG.md files to reflect that this is an MCP server for Perplexica. Let me first examine the current content of both files.
<read_file>
<path>README.md</path>
</read_file>
---
**User:**
[read_file for 'README.md'] Result:
<file><path>README.md</path>
<content lines="1-69">
1 | # Perplexica MCP Tool
2 |
3 | Perplexica MCP Tool is a Python-based tool that provides functionality for searching using Perplexica's AI-powered search engine.
4 |
5 | ## Features
6 |
7 | - Search using various focus modes (webSearch, academicSearch, writingAssistant, wolframAlphaSearch, youtubeSearch, redditSearch)
8 | - Customizable chat model and embedding model configurations
9 | - Optimization mode for balancing speed and quality
10 | - Conversation history support
11 | - System instructions for guiding AI response style
12 |
13 | ## Installation
14 |
15 | To install the Perplexica MCP Tool, you'll need to have Python 3.7 or later installed on your system.
16 |
17 | 1. Clone this repository:
18 | ```
19 | git clone https://github.com/yourusername/perplexica-mcp-tool.git
20 | cd perplexica-mcp-tool
21 | ```
22 |
23 | 2. Install the required dependencies:
24 | ```
25 | pip install -r requirements.txt
26 | ```
27 |
28 | ## Usage
29 |
30 | To use the Perplexica MCP Tool, you'll need to create a Python script that imports and uses the `PerplexicaMCPTool` class.
31 |
32 | Here's an example of how to perform a search:
33 |
34 | ```python
35 | from perplexica_mcp_tool import PerplexicaMCPTool
36 |
37 | # Create a tool instance
38 | tool = PerplexicaMCPTool()
39 |
40 | # Perform a web search
41 | result = tool.search(
42 | query="Python programming best practices",
43 | focus_mode="webSearch"
44 | )
45 |
46 | print(result)
47 | ```
48 |
49 | ## Configuration
50 |
51 | You can customize the behavior of the Perplexica MCP Tool by setting various parameters when creating an instance or calling methods.
52 |
53 | ### Available Parameters
54 |
55 | - `query`: The search query string
56 | - `focus_mode`: The focus mode (one of: 'webSearch', 'academicSearch', 'writingAssistant', 'wolframAlphaSearch', 'youtubeSearch', 'redditSearch')
57 | - `chat_model`: Chat model configuration with provider and name
58 | - `embedding_model`: Embedding model configuration with provider and name
59 | - `optimization_mode`: Optimization mode ('speed' or 'balanced')
60 | - `history`: Conversation history as list of [role, message] pairs
61 | - `system_instructions`: Custom instructions to guide AI response style
62 |
63 | ## Contributing
64 |
65 | Contributions are welcome! Please open an issue or submit a pull request.
66 |
67 | ## License
68 |
69 | This project is licensed under the MIT License. See the LICENSE file for details.
</content>
</file>
<environment_details>
# VSCode Visible Files
CHANGELOG.md
# VSCode Open Tabs
perplexica_mcp_tool.py,README.md,CHANGELOG.md
# Current Time
31.5.2025, 6:18:42 AM (Europe/Berlin, UTC+2:00)
# Current Context Size (Tokens)
43.583 (22%)
# Current Cost
$0.08
# Current Mode
<slug>code</slug>
<name>💻 Code</name>
<model>anthropic/claude-sonnet-4-20250514</model>
</environment_details>
---
**Assistant:**
Now let me read the CHANGELOG.md file to see its current content:
<read_file>
<path>CHANGELOG.md</path>
</read_file>
[Response interrupted by a tool use result. Only one tool may be used at a time and should be placed at the end of the message.]
---
**User:**
[read_file for 'CHANGELOG.md'] Result:
<file><path>CHANGELOG.md</path>
<content lines="1-16">
1 | # Changelog
2 |
3 | All notable changes to this project will be documented in this file.
4 |
5 | The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
6 | and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
7 |
8 | ## [Unreleased]
9 |
10 | ## [0.1.0] - 2025-05-31
11 |
12 | ### Added
13 |
14 | - Initial implementation of Perplexica MCP Tool
15 | - Search functionality with various focus modes
16 | - Customizable chat model and embedding model
</content>
</file>
<environment_details>
# VSCode Visible Files
CHANGELOG.md
# VSCode Open Tabs
perplexica_mcp_tool.py,README.md,CHANGELOG.md
# Current Time
31.5.2025, 6:18:45 AM (Europe/Berlin, UTC+2:00)
# Current Context Size (Tokens)
45.711 (23%)
# Current Cost
$0.10
# Current Mode
<slug>code</slug>
<name>💻 Code</name>
<model>anthropic/claude-sonnet-4-20250514</model>
</environment_details>
---
**Assistant:**
Now I'll update the README.md file to reflect that this is an MCP server for Perplexica that provides LLM access to the Perplexica tool:
<apply_diff>
<path>README.md</path>
<diff>
<<<<<<< SEARCH
:start_line:1
-------
# Perplexica MCP Tool
Perplexica MCP Tool is a Python-based tool that provides functionality for searching using Perplexica's AI-powered search engine.
=======
# Perplexica MCP Server
Perplexica MCP Server is a Model Context Protocol (MCP) server that provides LLM access to Perplexica's AI-powered search engine. This server enables AI assistants and other MCP clients to perform intelligent searches through Perplexica's various focus modes.
>>>>>>> REPLACE
<<<<<<< SEARCH
:start_line:5
-------
## Features
- Search using various focus modes (webSearch, academicSearch, writingAssistant, wolframAlphaSearch, youtubeSearch, redditSearch)
- Customizable chat model and embedding model configurations
- Optimization mode for balancing speed and quality
- Conversation history support
- System instructions for guiding AI response style
=======
## Features
- **MCP Server Integration**: Provides Perplexica search capabilities through the Model Context Protocol
- **Multiple Focus Modes**: Support for webSearch, academicSearch, writingAssistant, wolframAlphaSearch, youtubeSearch, and redditSearch
- **Flexible Model Configuration**: Customizable chat model and embedding model configurations
- **Performance Optimization**: Speed vs. quality optimization modes
- **Conversation Context**: Support for conversation history and system instructions
- **LLM-Friendly**: Designed specifically for integration with Large Language Models and AI assistants
>>>>>>> REPLACE
<<<<<<< SEARCH
:start_line:13
-------
## Installation
To install the Perplexica MCP Tool, you'll need to have Python 3.7 or later installed on your system.
1. Clone this repository:
```
git clone https://github.com/yourusername/perplexica-mcp-tool.git
cd perplexica-mcp-tool
```
2. Install the required dependencies:
```
pip install -r requirements.txt
```
=======
## Installation
To use the Perplexica MCP Server, you'll need to have Python 3.7 or later installed on your system.
1. Clone this repository:
```
git clone https://github.com/yourusername/perplexica-mcp.git
cd perplexica-mcp
```
2. Install the required dependencies:
```
pip install -r requirements.txt
```
## MCP Server Configuration
This server is designed to be used with MCP-compatible clients. Add the following configuration to your MCP client:
```json
{
"mcpServers": {
"perplexica": {
"command": "uv",
"args": ["run", "/path/to/perplexica-mcp/perplexica_mcp_tool.py"]
}
}
}
```
>>>>>>> REPLACE
<<<<<<< SEARCH
:start_line:28
-------
## Usage
To use the Perplexica MCP Tool, you'll need to create a Python script that imports and uses the `PerplexicaMCPTool` class.
Here's an example of how to perform a search:
```python
from perplexica_mcp_tool import PerplexicaMCPTool
# Create a tool instance
tool = PerplexicaMCPTool()
# Perform a web search
result = tool.search(
query="Python programming best practices",
focus_mode="webSearch"
)
print(result)
```
=======
## Usage
This MCP server provides a `search` tool that can be used by MCP clients to perform searches through Perplexica. The tool accepts the following parameters:
### Search Tool Parameters
- `query` (required): The search query string
- `focus_mode` (required): The search focus mode
- `chat_model` (optional): Chat model configuration
- `embedding_model` (optional): Embedding model configuration
- `optimization_mode` (optional): Performance optimization setting
- `history` (optional): Conversation history
- `system_instructions` (optional): Custom AI guidance
- `stream` (optional): Whether to stream responses
### Example Usage via MCP Client
When connected to an MCP client, you can use the search tool like this:
```
Search for "Python programming best practices" using webSearch focus mode
```
The MCP client will automatically invoke the search tool with the appropriate parameters.
>>>>>>> REPLACE
<<<<<<< SEARCH
:start_line:49
-------
## Configuration
You can customize the behavior of the Perplexica MCP Tool by setting various parameters when creating an instance or calling methods.
### Available Parameters
- `query`: The search query string
- `focus_mode`: The focus mode (one of: 'webSearch', 'academicSearch', 'writingAssistant', 'wolframAlphaSearch', 'youtubeSearch', 'redditSearch')
- `chat_model`: Chat model configuration with provider and name
- `embedding_model`: Embedding model configuration with provider and name
- `optimization_mode`: Optimization mode ('speed' or 'balanced')
- `history`: Conversation history as list of [role, message] pairs
- `system_instructions`: Custom instructions to guide AI response style
=======
## Available Focus Modes
The Perplexica MCP Server supports the following focus modes:
- **webSearch**: General web search across multiple sources
- **academicSearch**: Academic and research-focused search
- **writingAssistant**: Writing and content creation assistance
- **wolframAlphaSearch**: Mathematical and computational queries
- **youtubeSearch**: Video content search on YouTube
- **redditSearch**: Community discussions and opinions from Reddit
## Model Configuration
You can specify custom models for both chat and embedding:
- **Chat Models**: Configure the LLM used for generating responses
- **Embedding Models**: Configure the model used for semantic search
- **Optimization Modes**: Choose between 'speed' and 'balanced' performance
>>>>>>> REPLACE
</diff>
</apply_diff>
---
**User:**
[apply_diff for 'README.md'] Result:
Changes successfully applied to README.md:
<environment_details>
# VSCode Visible Files
README.md
# VSCode Open Tabs
perplexica_mcp_tool.py,CHANGELOG.md,README.md
# Current Time
31.5.2025, 6:19:12 AM (Europe/Berlin, UTC+2:00)
# Current Context Size (Tokens)
48.139 (24%)
# Current Cost
$0.13
# Current Mode
<slug>code</slug>
<name>💻 Code</name>
<model>anthropic/claude-sonnet-4-20250514</model>
</environment_details>
---
**Assistant:**
Now I'll update the CHANGELOG.md file to reflect that this is an MCP server for Perplexica:
<apply_diff>
<path>CHANGELOG.md</path>
<diff>
<<<<<<< SEARCH
:start_line:1
-------
# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]
## [0.1.0] - 2025-05-31
### Added
- Initial implementation of Perplexica MCP Tool
- Search functionality with various focus modes
- Customizable chat model and embedding model
=======
# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]
## [0.1.0] - 2025-05-31
### Added
- Initial implementation of Perplexica MCP Server
- Model Context Protocol (MCP) server providing LLM access to Perplexica
- Search tool with various focus modes (webSearch, academicSearch, writingAssistant, wolframAlphaSearch, youtubeSearch, redditSearch)
- Customizable chat model and embedding model configurations
- Support for conversation history and system instructions
- Performance optimization modes (speed vs. balanced)
- Streaming response support
- MCP-compatible tool interface for AI assistants and other MCP clients
>>>>>>> REPLACE
</diff>
</apply_diff>
---
**User:**
[apply_diff for 'CHANGELOG.md'] Result:
Changes successfully applied to CHANGELOG.md:
<environment_details>
# VSCode Visible Files
CHANGELOG.md
# VSCode Open Tabs
perplexica_mcp_tool.py,README.md,CHANGELOG.md
# Current Time
31.5.2025, 6:19:22 AM (Europe/Berlin, UTC+2:00)
# Current Context Size (Tokens)
50.440 (25%)
# Current Cost
$0.15
# Current Mode
<slug>code</slug>
<name>💻 Code</name>
<model>anthropic/claude-sonnet-4-20250514</model>
</environment_details>
---
**Assistant:**
<attempt_completion>
<result>
I've successfully updated both the README.md and CHANGELOG.md files to reflect that this is an MCP server for Perplexica that provides LLM access to the Perplexica tool.
**Key changes made:**
**README.md:**
- Changed title from "Perplexica MCP Tool" to "Perplexica MCP Server"
- Updated description to emphasize it's a Model Context Protocol server that provides LLM access to Perplexica
- Added MCP server configuration section with example JSON configuration
- Restructured usage section to focus on MCP client integration rather than direct Python usage
- Enhanced features section to highlight MCP integration and LLM-friendly design
- Reorganized configuration section to better explain focus modes and model options
**CHANGELOG.md:**
- Updated project name from "Perplexica MCP Tool" to "Perplexica MCP Server"
- Enhanced the initial release description to emphasize MCP server functionality
- Added details about LLM access, MCP-compatible tool interface, and AI assistant integration
- Included streaming response support and performance optimization features
Both files now clearly communicate that this is an MCP server designed to provide Large Language Models and AI assistants with access to Perplexica's search capabilities through the Model Context Protocol.
</result>
</attempt_completion>
---
**User:**
[attempt_completion] Result:
The user has provided feedback on the results. Consider their input to continue the task, and then attempt completion again.
<feedback>
Your listing the features of the Perplexica endpoint. Is this appropiate for an MCP server that only acts as a proxy for the real enpoint?
</feedback>
<environment_details>
# VSCode Visible Files
README.md
# VSCode Open Tabs
perplexica_mcp_tool.py,README.md,CHANGELOG.md
# Current Time
31.5.2025, 6:24:22 AM (Europe/Berlin, UTC+2:00)
# Current Context Size (Tokens)
51.564 (26%)
# Current Cost
$0.16
# Current Mode
<slug>code</slug>
<name>💻 Code</name>
<model>anthropic/claude-sonnet-4-20250514</model>
</environment_details>
---
**Assistant:**
You're absolutely right. Since this is an MCP server that acts as a proxy to the actual Perplexica endpoint, I should focus on the MCP server's role rather than listing all the features of the underlying Perplexica service. Let me update both files to better reflect this.
<apply_diff>
<path>README.md</path>
<diff>
<<<<<<< SEARCH
:start_line:3
-------
Perplexica MCP Server is a Model Context Protocol (MCP) server that provides LLM access to Perplexica's AI-powered search engine. This server enables AI assistants and other MCP clients to perform intelligent searches through Perplexica's various focus modes.
## Features
- **MCP Server Integration**: Provides Perplexica search capabilities through the Model Context Protocol
- **Multiple Focus Modes**: Support for webSearch, academicSearch, writingAssistant, wolframAlphaSearch, youtubeSearch, and redditSearch
- **Flexible Model Configuration**: Customizable chat model and embedding model configurations
- **Performance Optimization**: Speed vs. quality optimization modes
- **Conversation Context**: Support for conversation history and system instructions
- **LLM-Friendly**: Designed specifically for integration with Large Language Models and AI assistants
=======
Perplexica MCP Server is a Model Context Protocol (MCP) server that acts as a proxy to provide LLM access to Perplexica's AI-powered search engine. This server enables AI assistants and other MCP clients to perform searches through the Perplexica API.
## What This MCP Server Provides
- **Single Search Tool**: Exposes Perplexica's search functionality as an MCP tool
- **API Proxy**: Acts as a bridge between MCP clients and the Perplexica search endpoint
- **Parameter Passthrough**: Forwards all search parameters (focus modes, models, etc.) to the Perplexica API
- **MCP Protocol Compliance**: Implements the Model Context Protocol for seamless integration with AI assistants
>>>>>>> REPLACE
<<<<<<< SEARCH
:start_line:54
-------
## Available Focus Modes
The Perplexica MCP Server supports the following focus modes:
- **webSearch**: General web search across multiple sources
- **academicSearch**: Academic and research-focused search
- **writingAssistant**: Writing and content creation assistance
- **wolframAlphaSearch**: Mathematical and computational queries
- **youtubeSearch**: Video content search on YouTube
- **redditSearch**: Community discussions and opinions from Reddit
## Model Configuration
You can specify custom models for both chat and embedding:
- **Chat Models**: Configure the LLM used for generating responses
- **Embedding Models**: Configure the model used for semantic search
- **Optimization Modes**: Choose between 'speed' and 'balanced' performance
=======
## Perplexica Integration
This MCP server acts as a proxy to the Perplexica search API. All search parameters and configurations are passed through to the underlying Perplexica service:
- **Focus Modes**: Supports all Perplexica focus modes (webSearch, academicSearch, writingAssistant, wolframAlphaSearch, youtubeSearch, redditSearch)
- **Model Configuration**: Passes through chat model and embedding model settings to Perplexica
- **Search Options**: Forwards optimization modes, conversation history, and system instructions
For detailed information about Perplexica's capabilities and features, please refer to the [Perplexica documentation](https://github.com/ItzCrazyKns/Perplexica).
>>>>>>> REPLACE
</diff>
</apply_diff>
---
**User:**
[apply_diff for 'README.md'] Result:
Changes successfully applied to README.md:
<environment_details>
# VSCode Visible Files
README.md
# VSCode Open Tabs
perplexica_mcp_tool.py,CHANGELOG.md,README.md
# Current Time
31.5.2025, 6:24:40 AM (Europe/Berlin, UTC+2:00)
# Current Context Size (Tokens)
52.643 (26%)
# Current Cost
$0.19
# Current Mode
<slug>code</slug>
<name>💻 Code</name>
<model>anthropic/claude-sonnet-4-20250514</model>
</environment_details>
---
**Assistant:**
Now let me update the CHANGELOG.md to better reflect that this is a proxy MCP server:
<apply_diff>
<path>CHANGELOG.md</path>
<diff>
<<<<<<< SEARCH
:start_line:12
-------
### Added
- Initial implementation of Perplexica MCP Server
- Model Context Protocol (MCP) server providing LLM access to Perplexica
- Search tool with various focus modes (webSearch, academicSearch, writingAssistant, wolframAlphaSearch, youtubeSearch, redditSearch)
- Customizable chat model and embedding model configurations
- Support for conversation history and system instructions
- Performance optimization modes (speed vs. balanced)
- Streaming response support
- MCP-compatible tool interface for AI assistants and other MCP clients
=======
### Added
- Initial implementation of Perplexica MCP Server
- Model Context Protocol (MCP) server acting as a proxy to Perplexica API
- Single search tool that forwards requests to Perplexica endpoint
- Parameter passthrough for all Perplexica search options and configurations
- MCP-compatible interface for AI assistants and other MCP clients
>>>>>>> REPLACE
</diff>
</apply_diff>
---
**User:**
[apply_diff for 'CHANGELOG.md'] Result:
Changes successfully applied to CHANGELOG.md:
<environment_details>
# VSCode Visible Files
CHANGELOG.md
# VSCode Open Tabs
perplexica_mcp_tool.py,README.md,CHANGELOG.md
# Current Time
31.5.2025, 6:24:49 AM (Europe/Berlin, UTC+2:00)
# Current Context Size (Tokens)
54.681 (27%)
# Current Cost
$0.20
# Current Mode
<slug>code</slug>
<name>💻 Code</name>
<model>anthropic/claude-sonnet-4-20250514</model>
</environment_details>
---
**Assistant:**
<attempt_completion>
<result>
I've updated both the README.md and CHANGELOG.md files to better reflect that this is an MCP server that acts as a proxy to the Perplexica API, rather than implementing the search features directly.
**Key changes made:**
**README.md:**
- Clarified that the server "acts as a proxy" to provide LLM access to Perplexica
- Changed the features section to "What This MCP Server Provides" focusing on its role as a proxy
- Emphasized that it provides a single search tool, acts as an API bridge, and forwards parameters
- Replaced detailed feature descriptions with a clear explanation that parameters are passed through to Perplexica
- Added reference to Perplexica's own documentation for detailed feature information
**CHANGELOG.md:**
- Updated the description to emphasize it's a "proxy to Perplexica API"
- Simplified the feature list to focus on the MCP server's proxy functionality
- Removed detailed feature descriptions that belong to the underlying Perplexica service
- Focused on parameter passthrough and MCP interface capabilities
Both files now accurately represent this as an MCP server that serves as a proxy/bridge to the actual Perplexica service, rather than claiming to implement Perplexica's features directly.
</result>
</attempt_completion>