"A tool to access websites and extract coding documentation" matching MCP servers:

Enables MCP clients to extract validated typed records from unstructured text using named schemas, with schema listing and extraction tools. It returns validated JSON or tool errors, optionally using an offline parser or an OpenAI-compatible model with retries on validation failures.

Enables structured document understanding of local PDFs via a dual-extract MCP server, combining MinerU text/layout and Qwen3-VL vision with fusion adjudication for field extraction, tables, formulas, and validation. Fully local and offline.

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 AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

Enables AI agents to convert PDFs and images into validated, structured JSON for invoices, receipts, contracts, and resumes, or into any caller-supplied JSON Schema, through five extraction tools. Each tool call pays per use in USDC over x402 from a wallet the caller supplies, with no signup or API key required.

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.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

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 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 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.

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.

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 agents to deterministically extract structured entities from input payloads and validate or coerce them against JSON schemas, returning a standardized response dossier with execution telemetry. It runs as a zero-dependency MCP server that plugs into Claude Desktop, Cursor, and other MCP clients.

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 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 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 coding-plan users to run AI-powered web searches and analyze images from URLs or local files, integrating these capabilities into MCP clients for enhanced code development workflows.

Enables users to run AI-powered web searches and analyze images through MCP clients, returning structured search results and image insights tailored for coding workflows.

Enables coding-plan users to perform AI-powered web searches and image analysis through MCP clients, returning structured search results and extracting information from images to support development workflows.

Enables coding-plan users to perform AI-powered web searches and image analysis through MCP clients for code development workflows.

Enables coding-plan users to perform web searches and analyze images with AI-powered tools, integrating with MCP clients to support code development workflows.