code-context-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@code-context-mcphow does authentication work?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Code Context MCP Server
Make any LLM a codebase expert instantly. This MCP server provides deep code intelligence through semantic search, architecture mapping, security analysis, and smart context that fits perfectly in token windows. 90% more efficient than sending raw files. Perfect for Claude, GPT, and any LLM-powered IDE.
Installation
git clone https://github.com/RaheesAhmed/code-context-mcp.git
cd code-context-mcp
uv syncRelated MCP server: Portable MCP Toolkit
Usage
# Development mode with inspector
uv run mcp dev src/server.pyClaude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"code-context": {
"command": "uv",
"args": ["run", "--directory", "/path/to/code-context-mcp", "mcp", "run", "src/server.py"]
}
}
}Tools (16 Total)
Core Tools
Tool | Description |
| Condensed map of all symbols in entire codebase |
| File content with related imports |
| Find function/class definitions |
| Import relationships for a file |
| File count, lines, language breakdown |
| Read file with optional line range |
Advanced Search
Tool | Description |
| Find ALL places where a symbol is used |
| Auto-find relevant files for a question |
| Search code by meaning, not keywords |
Deep Analysis
Tool | Description |
| Trace callers/callees with Mermaid diagram |
| Auto-generate project layer diagram |
| Detect security, performance, quality issues |
Optimization
Tool | Description |
| Token-efficient multi-file context |
| What breaks when you change a file |
| Git history - recently modified files |
| Step-by-step execution path tracing |
Examples
# See entire codebase structure
get_repo_map(project_path="/path/to/project")
# Find all usages of a function
find_usages(project_path="/path/to/project", symbol="authenticate")
# Auto-find relevant code for a question
smart_context(project_path="/path/to/project", question="how does auth work?")
# Build call graph with visualization
get_call_graph(project_path="/path/to/project", function_name="main")
# Analyze before making changes
analyze_change_impact(project_path="/path/to/project", file_path="src/core.py")
# Trace execution flow
trace_code_flow(project_path="/path/to/project", entry_point="handleRequest")Requirements
Python 3.10+
License
MIT License - see LICENSE
Author
This server cannot be installed
Maintenance
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/RaheesAhmed/code-context-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server