"mcp server fetch" matching MCP servers:

Bridges OpenAI Codex with Sentry to automatically fetch, analyze, and fix errors using AI.

Enables developers to scaffold UI5 applications and integration cards, validate manifests, run linting, fetch API documentation, and access UI5 development guidelines through agentic AI tools.

Enables AI coding agents to query a codebase as a graph, retrieving definitions, callers, callees, dependencies, and focused context so they fetch only the code they need instead of reading whole repositories.

MCP server bridging tool calls to Neovim editor actions via RPC. Enables AI agents to open files, run Lua, manage quickfix lists, fetch diagnostics, and send notifications.

Enables agentic AI tools to scaffold UI5 applications, detect and fix UI5-specific code issues, fetch API references and guidelines, validate manifests, and run linters.

This MCP server enables AI assistants to interact with decomp.me for video game decompilation projects, providing tools to fetch scratches, compile code, analyze diffs, search contexts, and iterate on improvements.

Enables agentic AI tools to scaffold UI5 applications and integration cards, fetch API references and development guidelines, validate manifests, run linting, and inspect project metadata.

Provides team coding standards to AI assistants via the MCP protocol, with tools to fetch rules and suggest new ones.

Enables AI assistants to fetch, explore, and analyze source code from any Python package on PyPI, including listing files, reading specific code, and searching packages across all published versions.

Enables Claude Desktop to analyze repositories, fetch and create issues, inspect pull request diffs, and comment on pull requests through the GitHub API using natural-language commands.

Enables AI agents to retrieve precise symbol definitions and usages from codebases, eliminating the need to fetch entire files.

Provides an MCP server for AI coding agents to fetch AST-slimmed source files that keep critical logic like try/catch, auth, and Eloquent relations, cutting context tokens by 50%+.

Enables AI agents to safely fetch malware samples, run isolated headless Ghidra static analysis, and retrieve decompiled function logic, imports, and strings through callable MCP tools.

Enables agentic AI tools to scaffold UI5 applications and integration cards, fetch API documentation, validate manifests, run UI5 linter, and apply UI5 development guidelines.

Enables MCP-compatible LLM clients to retrieve repository metadata, list and read files, search code, and fetch README content through natural-language requests.

A server that exposes the Jadx decompiler API over HTTP, enabling Claude to interact with decompiled Java/Android code to list classes, fetch source code, inspect methods/fields, and extract code live.

Enables AI assistants to analyze project folders for dependencies and frameworks and fetch current documentation or datasheets from the web.

A local-first MCP server that indexes code repositories and enables AI assistants to search, fetch, and navigate code using BM25 hybrid retrieval, supporting common languages and tools like Codex and ChatGPT.

MCP server for exploring GitHub public data. It provides tools to fetch user profiles, list top repositories, and calculate language usage statistics, which AI agents can invoke dynamically.

Enables AI assistants to audit Solidity smart contracts for security vulnerabilities, fetch verified source code from block explorers, decode calldata, and estimate gas costs across major EVM networks.