Last updated
March 16, 2026
MCP profile
Github NitishGourishetty Contextual Mcp Server
RAG-enabled MCP server using Contextual AI. Supports single-agent and multi-agent modes.
Developer ToolsPackagePythonOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
An MCP server acts as a bridge between AI interfaces (Cursor IDE or Claude Desktop) and a specialized Contextual AI agent. It enables:
1. Query Processing: Direct your domain specific questions to a dedicated Contextual AI agent 2. Intelligent Retrieval: Searches through comprehensive information in your knowledge base 3. Context-Aware Responses: Generates answers that are:
Capabilities
Grounded in source documentationInclude citations and attributionsMaintain conversation context
Tools & Endpoints
Example Workflow
cat > mcp.json << EOF "ContextualAI-TechDocs": { "command": "$UV_PATH", # make sure this is set properly "\${workspaceFolder}", # Will be replaced with your project path "multi-agent/server.py" mv mcp.json .cursor/
What Problems It Solves
- The server provides Contextual AI RAG capabilities using the python SDK
- which can available a variety of commands accessible from MCP clients
- such as Cursor IDE and Claude Desktop. The current server focuses on using the query command from the Contextual AI python SDK
- however you could extend this to support other features such as listing all the agents
- updating retrieval settings
- updating prompts
- extracting retrievals
- or downloading metrics.
Why Use Github NitishGourishetty Contextual Mcp Server?
- 1. Accurate Responses: All answers are grounded in your documentation 2. Source Attribution: Every response includes references to source documents 3. Context Awareness: The system maintains conversation context for follow-up questions 4. Real-time Updates: Responses reflect the latest documentation in your datastore
Limitations
- The server runs locally and may not work in remote development environments
- Tool responses are subject to Contextual AI API limits and quotas
- Currently only supports stdio transport mode
Specifications
Status
live
Industry
Developer Tools
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes
Requirements
- Python 3.10 or higher
- Cursor IDE and/or Claude Desktop
- Contextual AI API key
- MCP-compatible environment
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
Python
pip install -e .Performance
Usage
Quick Reference
- Name
- Github NitishGourishetty Contextual Mcp Server
- Function
- RAG-enabled MCP server using Contextual AI. Supports single-agent and multi-agent modes.
- Transport
- Package
- Language
- Python
- Install
- pip install -e .
- Source
- External (Registry)
- License
- Open Source
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