"Common Lisp" matching MCP servers:

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

An enhanced Model Context Protocol filesystem server that fixes common limitations and adds features like glob pattern search, head/tail reading, intelligent file editing with syntax validation, and new tools for delete and command execution.

Lets AI assistants read, audit, and safely edit slicing presets for Creality Print, OrcaSlicer, and Bambu Studio, resolving full inheritance chains to expose effective settings and flagging common print-failure causes. It also inspects, scales, and rotates 3D model files (.stl, .obj, .3mf) into new outputs.

Enables AI agents to securely discover, inspect, and read approved local team files through structured tools, with incremental SQLite indexing, paginated navigation, version verification, and evidence citations across common document formats.

Enables AI coding agents to audit and sweep away transient scratch directories, bloated test caches, and forgotten probe scripts in a workspace, with dry-run previews to guarantee nothing tracked or production-related is touched. It also detects zombie background dev servers still holding common ports like 3000, 5173, and 8000.

Enables read-only inspection of common macOS developer cache sizes and discovery of large files within allowlisted directories, without modifying files.

Enables Claude to list directories, read text files, and search code within a designated read-only project folder, while skipping common dependency folders and blocking sensitive files.

Enables users to maintain a local Markdown medication list, estimate refill and pickup dates, record refills, and generate printable weekly medication and refill sheets through MCP tools.

A grep server implementation that exposes grep functionality through the Model Context Protocol (MCP), supporting natural language prompts and common grep options such as case-insensitive matching, context lines, and recursive searching.

A batteries-included MCP server providing common coding-agent tools like web search, page fetching, file system access, shell command execution, and Git integration, built in Python with a local-first, Unix-style philosophy.

A local MCP server that wraps common forensic command-line tools for CTF/forensics competitions into MCP tools, enabling automated analysis of disk images, memory dumps, network captures, SQLite databases, archives, and steganography.

Enables LLMs to execute Python code and scripts, manage Python environments and packages, and read or write files within an isolated working directory. It also provides prompt templates for common Python tasks such as function creation, refactoring, and debugging.

Enables LLMs to run Python code and scripts, manage Python environments and packages, and read or write files within an isolated working directory. It also provides prompts for common Python tasks such as function creation, refactoring, and debugging.

Enables LLMs to manage Python environments and packages, execute Python code or scripts, and read or write files within a secured working directory. It also provides prompts for common Python tasks such as function creation, refactoring, and debugging.

Enables LLMs to run Python code and scripts across available environments, manage packages, and read/write files within a secured working directory. It also provides prompts and resources for common Python development tasks.

Zero-dependency MCP server that provides AI models with secure read/write/exec access to local files and directories over HTTP and SSE, designed to be tunneled via ngrok for integration with Claude Web.

Provides tools for common file processing operations including reading files, listing directories, searching across files, getting file info, and counting lines with built-in security features like path traversal protection.

Enables LLMs to manage Python environments, execute code and scripts, install packages, and read/write files within an isolated working directory. It also provides prompts for common tasks such as function creation, refactoring, and debugging.

Enables users to import scientific figures together with their code, review and publish them as immutable releases into one user-chosen local library, then search, preview and materialize an exact confirmed template into any project from Claude Science, Cursor, Codex or other stdio MCP hosts. It keeps the catalog on disk and never executes plotting code, so the host agent inspects files while the server hashes, versions, gates and publishes them.

Grants an agent a bounded view of the filesystem where each directory is declared explicitly with a role (reference, sourcecode, workspace) that caps operations to read, write, or delete, resolving every path through a single confinement and permission checkpoint. Common secrets such as .env, keys, and .git are filtered from both access and listings, and deletions only move files into a per-root trash instead of erasing them.

Enables natural language todo list management through Claude Desktop with YAML-based persistence. Supports creating, completing, deleting, and listing todo items with automatic timestamp tracking and secure file permissions.