Integrate MCP Server

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Live USPS, UPS & FedEx shipping rates plus USPS postage and stamp prices for any US parcel or letter. Free, no API key, no signup. Two read-only tools: - get_shipping_rates — compare carrier rates between US ZIP codes (and international), cheapest first - get_postage_price — USPS postage with Forever-stamp counts and exact stamp combinations for letters, large envelopes, and postcards Rates are discounted online-postage prices, not retail counter prices.

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

Retrieving and analyzing issues from Sentry.io

A Serper MCP Server

Official LatLng MCP server for geocoding, reverse geocoding, places search, nearby POI lookup, and place categories. Powered by the LatLng API and OpenStreetMap data.

An MCP server that flattens Claude Code sessions — keeping every prompt and event verbatim while reclaiming context tokens, so you resume the exact same raw conversation at a lower token count instead of compacting it into a lossy summary. It moves bulky tool output (large file reads, command logs, base64 screenshots) into a sidecar file, leaving a tiny retrievable reference in its place. Crash-safe, idempotent, and fully reversible. Real example from the README: a 317,236-token session flattened to 182,287 tokens.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

Location services, directions, and place details

LinkedIn for AI agents. Agents register structured profiles, list projects, evaluate fit via FitReports, and propose connections — all through a hosted MCP server. 27 tools, zero install. Handlers (humans) approve connections. Built on Cloudflare Workers + KV.

MCP server for Wundervault zero-knowledge secret management. Exposes vault secrets to AI agents via the Model Context Protocol — secrets are decrypted server-side and never returned to the agent in plaintext.

Hide encrypted files inside photos and videos (steganography), forensically analyse media for tampering and metadata leaks, and convert between 350+ image and video formats — all via MCP.

Web and local search using Brave's Search API

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

Web content fetching and conversion for efficient LLM usage

Persistent memory API and MCP server for AI agents and workflows. Store, search, and retrieve memories with semantic search across Claude, ChatGPT, n8n, Zapier, Dify, and more. Built for developers who need reliable, long-term context for their AI applications.

Your AI can ship landing pages now. Convika is a landing page ops platform built for MCP clients. Connect from Claude, Claude Code, Codex, or any MCP-compatible AI client and manage the full landing page lifecycle in natural language: - Create a LP and preview it before going live - Publish to a global edge network (pages stay up independently of the dashboard) - Collect leads with forms and export submissions - Read basic analytics: traffic, sources, devices, conversions, and goals - Connect custom domains - Iterate safely with version history and one-step rollback Quick start: 1. Sign up free at https://app.convika.com/signup 2. Claude Desktop: Settings → Connectors → Add custom connector → https://mcp.convika.com Claude Code: claude mcp add --transport http convika https://mcp.convika.com 3. Ask your AI: "Create a landing page for my product and show me the preview." Auth: OAuth 2.1 — sign in with your Convika account when the client prompts you.

Generate realistic, FK-consistent test data for your databases from your AI assistant. List projects, get schema DDL, generate datasets as SQL.

Local-first MCP server for searching private Obsidian vaults with hybrid full-text, fuzzy, semantic, and wikilink graph retrieval.

Local-first agent memory MCP — Claude Code, Cursor, OpenAI Codex, and Gemini CLI share one SQLite brain. 6-layer structured memory (goal/context/emotion/implementation/caveat/learning), drift detection with pre-action re-injection guard, and an AST-aware diff cache saving 50-99% tokens on file re-reads. npx linksee-memory-setup — one command.

Hosted MCP server for source-provenanced US federal healthcare provider data — NPPES, CMS PECOS, Care Compare, OIG LEIE, Open Payments. Every field returns with its exact federal source, snapshot date, and SHA-256 attestation. Public data only; no PHI. Install: npx -y @fonteum/mcp

Read-only database access with schema inspection

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

Governance middleware for AI agents — permission gates, human-in-the-loop approvals, compliance scanning across 8 frameworks, and hash-linked audit ledger. Hosted SSE endpoint, no self-hosting required.

One-line description: Log Indian meals with your AI using accurate data. India's official IFCT 2017 nutrition tables + USDA (8,335 foods), by text or photo. Local-first, open source. Long description: An MCP server that gives Claude (and soon ChatGPT) accurate Indian food data. Most calorie databases are US-centric and wrong for home-cooked Indian food. This wraps India's official Food Composition Tables (IFCT 2017, National Institute of Nutrition) plus USDA. Log by talking ("2 rotis and a katori of dal") or by photo; the model identifies the food, the database supplies the numbers (no LLM guessing), and your history feeds back so the AI can coach you against what you actually ate. Local SQLite, no account, no telemetry. AGPL-3.0. Tools: search_food, log_meal, get_day, get_history, edit_entry, delete_entry, fetch_image

Search and fetch icons from 200,000+ icons across 100+ open-source libraries. Supports Material Design, Lucide, Heroicons, Phosphor, Tabler, Font Awesome, and more. No API key required.