"Extracting Images from Search Results" matching MCP servers:

Clones a Git repo into a temp directory so MCP clients can search and read files from another repo for context.

Enables cross-repository code search over a local mirror of a self-hosted Gitea or Forgejo instance, covering file contents, file paths, and commit messages across all repositories and branches. It also lets users read a single file from the mirror and list mirrored repositories, all without network access during search or read.

Provides natural language search capabilities for Spryker GitHub repositories, packages, and public documentation. It enables code-level searches across Spryker organizations to help developers find relevant modules and technical information.

An MCP server that enables natural language search capabilities for Spryker packages and code across GitHub repositories, allowing users to find Spryker modules and documentation using conversational queries.

Enables LLMs to perform advanced GitHub code searches with intelligent filtering and content retrieval using Playwright automation, optimized for DeepSeek integration.

Enables AI agents to perform unified web searches, GitHub, and GitLab searches with caching, reranking, and fallback across multiple providers.

Enables searching and exploring GitHub repositories with tools for cloning repos, searching code with regex, browsing directory structures, reading files, and extracting code outlines.

Enables searching the langchain-ai/langchainjs GitHub repository for TypeScript/JavaScript/Markdown code snippets using the search_langchain tool.

A Model Context Protocol server that provides tools for searching private GitHub repositories, enabling access to repository files, commit history, and issues with automatic handling of rate limiting and error handling.

Enables LLMs to search and read files in local and GitHub repositories, analyze pull request diffs, and grep code content with built-in security protections.

Enables searching GitHub code with filters and reading arbitrary file contents from any repository via MCP.

Enables agents to resolve data incidents by preparing remediation, inspecting verification results, and staging for human approval, while integrating with DataHub for evidence.

Enables AI agents to browse, read, search, blame, and diff files from any branch, tag, or commit in a self-managed GitLab instance without checking anything out or modifying the working tree. Content is served read-only from locally cached git mirrors or your own clones, so no GitLab REST API access is needed.

Enables coding agents to retrieve pull request review findings, reproduce and fix them locally, reply on review threads, report reproduction results, and request fresh reviews.

Enables MCP clients to delegate routine coding tasks to a local model in isolated git worktrees, using test results as a gate and the client as the reviewer before changes are merged.

Enables LLMs to search Flux HelmReleases and Argo Applications from kubesearch.dev, and temporarily clone repos to review actual manifests.

Enables Codex to delegate routine repository exploration, implementation, refactors, tests, and fixes to DeepSeek Harness in isolated Git worktrees, returning compact results and patches for review while keeping the main workspace protected.

MCP server for GitHub code retrieval and reuse, using SQLite+FTS5 indexing and search history to enable search-first, requirements-refined code search from GitHub repositories.

Enables AI assistants to browse, search, and retrieve source code of 129 VengeanceUI components from their GitHub repository.

Enables AI coding agents to read GitHub repositories, files, commits, issues, pull requests, releases, Actions, and search results through 18 read-only MCP tools. It reuses existing credentials, routes around unreliable networks, and caches responses on disk to stay within rate limits.

MCP server integrating Google Search Console, Google Analytics 4, and GitHub, enabling AI clients to query search analytics, traffic data, and repository information.

Enables agents to search open paid open-source bounties across GitHub and Opire, filter by language, keywords, and minimum USD amount, and compare normalized results from both sources.

Enables AI assistants to manage the AUL game library remotely by uploading covers and game assets, downloading covers, extracting APK package names, and updating game configuration entries via MCP.

Enables Claude to create, read, edit, list, and delete tutorials on Git-based documentation sites, upload images from public HTTPS links, and optionally trigger site redeploys directly through GitHub.

Enables AI coding agents to assemble tamper-evident, locally stored evidence bundles that capture Git state, command results, and file hashes, then verify freshness and export shareable reports.

Enables AI assistants to search, inspect, compare, and evaluate GitHub repositories using read-only tools, including topic discovery, repository health scoring, security advisories, dependency audits, and supply-chain risk checks. It returns concise, readable results and can work without a token, with optional authentication for higher rate limits and code search.

Enables AI assistants to search and explore Chromium and PDFium source code, check Gerrit code reviews with test results and bot errors, search issues, and analyze commit history through Google's official APIs.

A local MCP server for Jenkins that provides 17 tools to interact with Jenkins jobs, builds, logs, SCM, and test results via REST API, no plugin required.

MCP server to create, read, update, list, and search GitHub Gists from your IDE.

Enables automatic saving of insights from Claude conversations as GitHub Issues, with features to create, list, and search insights by category and keyword.