"Finding a Programmer with MCP Certification" matching MCP servers:

Enables ChatGPT web to read local files, search code, run shell commands, and drive a local Codex CLI via an official MCP connector, with human approval for risky commands and full audit logging.

A read-only MCP connector that lets ChatGPT on the web plan tasks and independently review real Git diffs for local coding agents across many registered projects through one shared OAuth-protected hub connection, with no API key required. It exposes only file reads — never edits or shell tools — so the coding agent keeps full ownership of execution while the web subscription handles the reasoning and review.

Provides a sandboxed filesystem API for AI agents, enabling natural-language file read, write, append, delete, move, list, create, and metadata operations through MCP tools.

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

Memory bank with Server as SSH support for central knowledge base

Enables secure filesystem access with privacy controls using .mcpignore files to block MCP clients from reading or writing sensitive files and directories while allowing directory browsing and search.

Provides a read-only MCP bridge that lets Claude Web inspect workspace files, git state, and recorded test results while Codex remains the sole executor of changes.

A local MCP bridge that lets ChatGPT chat mode operate the user's own computer, running project, file, and shell tasks through a local executor and returning progress and results to the conversation. It also coordinates Codex sessions (persistent or one-off) and other agent CLIs as sub-agents.

Enables AI models to access external services including weather data, file system operations, and SQLite database interactions through a standardized JSON-RPC interface. Features production-ready architecture with security, rate limiting, and comprehensive error handling.

A Model Context Protocol server providing file search and question tools for AI models. Enables keyword search in files with line numbers and integration with external chat services.

Exposes a secure OAuth2 + SSE Model Context Protocol endpoint that lets Gemini Web read a local project's files, directory trees, search results, git status/diffs, and workspace info on a read-only basis. It also pairs the browser-side automation with a local bridge daemon so prompts and answers flow both ways between Gemini Web and Google Antigravity.

Enables executing Python code, managing environments and packages, and performing file operations within Docker containers.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

Enables agents to compress JPEG, PNG, and WebP images to a target byte size, split PDFs by page or ranges, and remove image metadata while processing local files without sending file bytes over the network.

Provides tools for file system operations and text generation using OpenAI-compatible models via the Model Context Protocol, supporting both stdio and HTTP transports.

MCP server that allows AI agents to read, search, summarize, and answer questions about local PDF, DOCX, XLSX, and TXT files through five tools.

An AI-powered file manager that enables natural language filesystem operations including reading, writing, organizing, and managing files within a secure sandboxed workspace through a web interface.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

Enables the ChatGPT web app to securely read selected files, git state, and test output from a local workspace through OAuth-protected read-only MCP tools, so TeleAgent retains full execution control.

Provides AI clients with safe, structured access to local filesystem, Git repositories, and project contexts, featuring file operations, git status/diff, project management, and built-in code review/bug analysis prompts.

Connects Claude Desktop to your Obsidian vault, enabling reading, writing, searching, and organizing notes locally.

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

Enables interaction with the WhkerDB shared PDF editor to manage collaborative rooms, file structures, and real-time annotations. It allows users to upload PDFs and images, manage note trees, and sync data across platforms through natural language.

Enables a voice-enabled AI assistant to call 7 built-in MCP tools including calculator, web search (DuckDuckGo), weather (wttr.in), date/time, and local file read/write/list operations, integrating with Gemini 2.0 Flash for tool-calling conversations.

Provides a secure workspace for AI-driven file management and Python script execution designed to run on Vercel. It enables tools for full file operations and code execution within a sandboxed environment.

Enables Claude to read and analyze PDF documents with automatic OCR processing for scanned files. Features intelligent text extraction, caching for performance, and secure file access with search capabilities.

A local, read-only MCP server that lets AI agents inspect and analyze photo libraries by scanning files, aggregating EXIF stats, finding duplicates, scoring blur, and generating cull reports without uploading any data.

Enables querying and updating Markdown frontmatter metadata using DuckDB SQL, with optional semantic search capabilities for finding similar documents based on content.

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.

Read-only MCP server for ProjectLibre .pod files that enables finding project files, summarizing Gantt charts, inspecting tasks, and analyzing schedules without opening ProjectLibre.