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MCP server enabling code understanding, modification, and project analysis with tools for file and command operations.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for SDGLBL/mcp-claude-code, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Overview
Use cases
Analyze and understand large codebases through pattern and AST searches
Modify source code files with precise, line-based or multi-edit operations
Execute shell commands and scripts within project context securely
Read and edit Jupyter notebooks including cells and outputs
Delegate complex tasks to specialized agents running concurrently
Key features
File reading and writing with line and offset control
Recursive directory tree exploration
High-performance pattern searching using ripgrep
AST-based code context searching
Concurrent task execution with agent delegation
Structured task list management
Capabilities & Tool Schemas (16)
Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Claude Code.
readRead file contents with line numbers, offset, and limit capabilities
writeCreate or overwrite files
editMake line-based edits to text files
multi_editMake multiple precise text replacements in a single file operation with atomic transactions
directory_treeGet a recursive tree view of directories
grepFast pattern search in files with ripgrep integration for best performance ([docs](./doc/migration_SearchContentTool_to_Grep.md))
Documentation Overview
MCP Claude Code
An implementation of Claude Code capabilities using the Model Context Protocol (MCP).
Overview
This project provides an MCP server that implements Claude Code-like functionality, allowing Claude to directly execute instructions for modifying and improving project files. By leveraging the Model Context Protocol, this implementation enables seamless integration with various MCP clients including Claude Desktop.
Features
- Code Understanding: Analyze and understand codebases through file access and pattern searching
- Code Modification: Make targeted edits to files with proper permission handling
- Enhanced Command Execution: Run commands and scripts in various languages with improved error handling and shell support
- File Operations: Manage files with proper security controls through shell commands
- Code Discovery: Find relevant files and code patterns across your project with high-performance searching
- Agent Delegation: Delegate complex tasks to specialized sub-agents that can work concurrently
- Multiple LLM Provider Support: Configure any LiteLLM-compatible model for agent operations
- Jupyter Notebook Support: Read and edit Jupyter notebooks with full cell and output handling
Tools Implemented
| Tool | Description |
|---|---|
read | Read file contents with line numbers, offset, and limit capabilities |
write | Create or overwrite files |
edit | Make line-based edits to text files |
multi_edit | Make multiple precise text replacements in a single file operation with atomic transactions |
directory_tree | Get a recursive tree view of directories |
grep | Fast pattern search in files with ripgrep integration for best performance (docs) |
content_replace | Replace patterns in file contents |
grep_ast | Search code with AST context showing matches within functions, classes, and other structures |
run_command | Execute shell commands (also used for directory creation, file moving, and directory listing) |
notebook_read | Extract and read source code from all cells in a Jupyter notebook with outputs |
notebook_edit | Edit, insert, or delete cells in a Jupyter notebook |
think | Structured space for complex reasoning and analysis without making changes |
dispatch_agent | Launch one or more agents that can perform tasks using read-only tools concurrently |
batch | Execute multiple tool invocations in parallel or serially in a single request |
todo_write | Create and manage a structured task list |
todo_read | Read a structured task list |
Getting Started
For detailed installation and configuration instructions, please refer to INSTALL.md.
For detailed tutorial of 0.3 version, please refer to TUTORIAL.md
Security
This implementation follows best practices for securing access to your filesystem:
- Permission prompts for file modifications and command execution
- Restricted access to specified directories only
- Input validation and sanitization
- Proper error handling and reporting
Development
To contribute to this project:
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
GitHub stars
303
Stargazers on the source repository.
Last commit
1y ago
Most recent push to the default branch.
Tools exposed
16
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.
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Frequently Asked Questions about MCP Claude Code
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CategoryCoding Agents
PricingFree
5/7 checks healthy over the last 32d
49Quality signal: Fair · 49/100How this signal is calculated ▾
Server availabilityNot measured
Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.
Verified ownership10/20
Documentation & tools23/30
Adoption & activity4/15
Community engagement0/10
A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.
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