"Tool to analyze backend code, connect with Jira, and automate coding tasks" matching MCP servers:

Enables text-only LLMs to analyze images by sending files, URLs, or data URIs to a separate OpenAI-compatible vision model through a single MCP tool.

Provides AI vision analysis via OpenRouter, enabling image understanding from local paths or URLs. Supports OCR, error diagnosis, and chart/UI analysis using Gemini models.

Standalone MCP server for code structure analysis using tree-sitter. Directory trees, symbol definitions, and call graphs without reading raw source files. Supports Rust, Python, Go, Java, TypeScript, Fortran, JavaScript, C/C++, and C#. Benchmarked up to 68% fewer tokens vs native tools.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

MCP server that routes natural language requests to structured tool calls using a LoRA-tuned small language model, with built-in validation, retry, and fallback recovery.

Enables local coding agents to delegate reasoning, planning, review, derivation, and diagnosis tasks to ChatGPT Web through Chrome DevTools Protocol, with security guards and evidence-based verification.

Provides a no-op 'think' tool that enables Claude to decompose complex problems and enhance reasoning by pausing to organize thoughts.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

A lightweight MCP bridge that lets Claude Code delegate heavy tasks to the Antigravity CLI - saving context window and tokens for what matters.

Enables AI assistants to search codebases by meaning using local AI embeddings, manage indexing and caching, switch workspaces, check server status, and look up latest package versions across multiple ecosystems.

Enables Claude to receive physical touch events from a phone via the PWA and respond with text, haptic vibrations, and expression changes, giving an AI companion embodied presence through touch.

Enables AI assistants to search a codebase by meaning rather than exact keywords by indexing files with local AI embeddings, alongside package-version lookup and index management tools. It supports incremental, resource-throttled indexing across multiple workspaces and IDE integrations.

Enables AI assistants to perform intelligent semantic code search across a codebase using local AI embeddings, with tools for reindexing, cache management, workspace switching, package version lookup, and status checks.

Enables AI assistants to search code by meaning using local AI embeddings, and provides package version lookup, reindexing, cache management, workspace switching, and server status tools.

Enables users to submit source code and natural-language refactoring instructions and receive modernized code that preserves existing public interfaces and behavior. It also supports checking the configured inference backend status.

Enables AI coding assistants to find relevant code by meaning through local AI embeddings and an indexed codebase, so searches work even when terminology differs. It also supports package-version lookup, reindexing, cache management, workspace switching, and server status checks.

Enables AI coding assistants to search codebases by meaning using local AI embeddings, with tools for indexing, cache and workspace management, status checks, and latest package-version lookup.

Provides coding agents with typed classification, yes/no checks, scoring, ranking, and question-answering tools that return calibrated probabilities for fast, reliable decisions.

Enables AI assistants to search codebases by meaning using local AI embeddings, and also provides package version lookup, indexing, cache management, workspace switching, and server status tools.

Enables AI assistants to search codebases by meaning rather than keywords, using locally generated AI embeddings to surface relevant code even when terminology differs. It also provides package version lookups across 20+ ecosystems, plus tools for reindexing, cache clearing, workspace switching, and server status checks.

This is a Model Context Protocol (MCP) server that allows AI assistants to interact with the OpenCode CLI. It enables AI assistants to leverage multiple AI models through a unified interface, with features like plan mode for structured thinking and extensive model selection.

Enables AI assistants to perform semantic code search across a local codebase by meaning rather than exact keywords, using local AI embeddings with flexible dimensions. It also provides indexing, cache management, workspace switching, package version lookup, and server status tools.

Enables ChatGPT to delegate writing, analysis, second opinions, and Japanese text polishing to Gemini through a single ask_gemini tool, without copying text to Gemini's web interface. Self-hosted on Cloudflare with your own Gemini API key and Google login.

Enables AI coding assistants to search codebases by meaning using local AI embeddings, so they can find relevant code even when terminology differs, while also offering package version lookup, indexing, cache, workspace, and status tools.

Enables MCP clients such as Claude Desktop, Cursor, and Windsurf to perform web searches and AI-powered image understanding through MiniMax's coding-plan APIs. It provides the web_search and understand_image tools for retrieving structured search results and analyzing images from URLs or local files.

A configurable MCP gateway that runs multiple Streamable HTTP MCP servers and exposes all their tools through a single endpoint, enabling tool aggregation and routing for MCP clients.

Enables MCP clients such as Claude Desktop, Cursor, and Windsurf to run web searches and analyze images through AI based on text prompts, returning structured results or extracted image insights. It exposes the web_search and understand_image tools for code development workflows via stdio or SSE transport.

Enables users to perform AI-powered web searches and analyze images through MCP clients, enhancing code development workflows.

Enables coding-plan users to perform AI-powered web searches and analyze images from URLs or local files through MCP clients like Claude Desktop, Cursor, Windsurf, and OpenAI Agents. It exposes the web_search and understand_image tools over stdio or SSE transports to support code development workflows.

Enables MCP clients such as Claude Desktop, Cursor, and Windsurf to perform web searches and analyze images through MiniMax APIs, returning structured search results and AI-generated answers about images from URLs or local files. It is tailored for coding-plan users working in code development workflows.