How to Create a Model Context Protocol (MCP) Server

Conduct comprehensive research projects using a virtual computer equipped with a real browser, coding tools, document creation capabilities, and more. Deep Research by Openhelm enables your agent to tackle work such as: • Market and competitor analysis • Industry and company research • Investment and acquisition due diligence • Technical and scientific investigations • Report generation with sources and evidence What makes OpenHelm the best solution for this: • Research is continuously reviewed and refined by a powerful AI to maximise accuracy and completeness • Uses a highly capable stealth browser that can access more of the web than traditional research agents • Multi-step workflows allow findings to be validated, expanded, and synthesised automatically • Generates structured outputs rather than simply returning search results For high-stakes research that requires depth, accuracy, and persistence, OpenHelm provides a secure remote environment where complex investigations can be completed autonomously.

Freento MCP is a Magento 2 extension that implements the Model Context Protocol — an open standard for connecting AI assistants to external data sources. With this extension, you can: Query orders, products, customers, and inventory using natural language Generate sales reports and analytics on the fly Monitor system health (PHP, MySQL, cache, search engine versions) Audit admin users and security settings

Connect your AI assistant to IndoTender — Indonesian government procurement data via the Model Context Protocol. Search LPSE tenders, procurement realisasi, company profiles, treasury payments, and government agency directories — all from your AI chat.

AI-powered knowledge base for your Terraform modules. Index, search, compose, and audit - all from one place.

Run personalised outreach campaigns and manage conversations using a virtual computer equipped with email capabilities, research tools, and workflow automation. Email Outreach by OpenHelm enables your agent to carry out work such as: • Prospect research • Personalised outbound email campaigns • Lead qualification • Follow-up sequences • Inbox monitoring and response handling What makes OpenHelm the best solution for this: • AI continuously monitors conversations and adjusts actions to maximise outcomes • Deep research capabilities enable highly personalised outreach at scale • Multi-step workflows coordinate research, sending, follow-ups, and response management • Operates within a secure remote environment isolated from your local machine For organisations looking to generate opportunities through outbound communication, OpenHelm provides the infrastructure needed to run sophisticated outreach workflows autonomously.

One API for Search, Crawling, and Sitemaps

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

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

summarize chat message

Write notes to Flomo

GitLab API, enabling project management

Control your Instagram from Claude — publish photos, reels, carousels, read insights, manage comments and DMs. 14 tools via Instagram Login API. One-click free Render deploy for Claude Web and mobile.

AI interior design via MCP — restyle rooms, place furniture, and virtually stage spaces from a photo. Generate photorealistic interiors directly from Claude Code, Cursor, or any MCP client.

Point it at your site, get a whole-site AEO/GEO audit plus a ready-to-run plan your agent can execute. Orchestrates the ai-seo and citation-intelligence MCPs. Ships as a Claude skill, Claude plugin, and MCP server. No API keys required for the core audit-to-plan flow.

test

Gives your AI agent your story map and given/when/then acceptance criteria. Read-only.

Paid-download MCP for asking TalentLyft recruiting-ops questions inside Claude, Cursor, or another MCP client.

Job search and interview prep MCP. 11 tools spanning job discovery, role intelligence, practice question generation, resume scoring, comp benchmarks, and negotiation strategy. Cross-LLM via the hosted endpoint with OAuth 2.1.

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

LADU’s MCP server connects AI assistants directly to LA County ADU data. Ask about any address and get a plain-English buildability verdict, the parcel’s zoning and regulatory overlays (hillside, coastal, fire, flood, historic, fault zones), and the governing city’s ADU rules. Query permit statistics for any of 51 supported LA cities — totals, year-over-year trends, and valuation distributions from 19,000+ cleaned permit records going back to 2018. Compare two cities side by side, estimate project costs by type and finish level, or find permitted ADUs near an address.

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

AgentDrive is a cross-agent artifact workspace with provenance and portable storage across Claude Code, Codex, Cursor, and LangGraph. 20 MCP tools: file CRUD, semantic recall over workspace artifacts, run logging, cross-agent attribution, comments, and shares. Connect to the hosted server at https://mcp.agentdrive.sh/mcp with an Authorization: Bearer key, or run locally via npx @adrive/mcp-server. Free tier (1 GB + 10k embeddings) at https://app.agentdrive.sh — no credit card.

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

Discover verified deep-tech engineering bounties from any AI agent. Every bounty is funded in Stripe escrow before listing, and every submission is AI-verified before the buyer sees it. One tool: search_bounties.

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

Turn any published podcast into clean Markdown with real speaker names — not "Speaker 1." Three tools: search_podcasts (by text query or a pasted Spotify/YouTube URL), get_transcript (named, timestamped Markdown ready for LLMs and RAG), and get_balance. It's a transcript-retrieval API, not speech-to-text: it works on already-published shows, so you skip uploading audio and diarization — typically 5–10× cheaper. Try it free with the demo key pt_demo (no signup).