"Model Context Protocol (MCP) Servers Repository" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Check an Australian vehicle for open safety recalls by VIN. The index mirrors the federal vehicle recall register: 5,587 notices and 8.8 million VINs, refreshed hourly. Look up one VIN, check a batch, search by make and model, or read the full notice. Free, read-only, no authentication.
ReelVision lets Claude, ChatGPT and other MCP clients watch short-form videos. Paste a reel link and the model gets the caption, a timestamped transcript and up to 20 keyframes, so it can explain, summarize or recreate what’s in the video. It can zoom into any timestamp to read small on-screen text or catch fast cuts. Works with Instagram, TikTok, Facebook and X. Built for designers and developers who save reels for inspiration and want AI to turn them into real work.
MCP server for LingoHub — localization projects, resources, exports and repository pushes.
Run fal.ai models, poll the inference queue and read model schemas.
Keep project context available across AI coding sessions. ContextDrop gives connected MCP clients shared project memory for architecture, technical decisions, constraints, and conventions. Retrieve project context, search and read memories, and save or update what matters with OAuth 2.1 authentication.
Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.
DevSpeak is a writing tool for developers, available to your coding agent over MCP. Call `optimize_text` to improve a PR description, commit message, ticket or doc in the language it was written in, or set `correctionsOnly` to fix only spelling, grammar and punctuation. Call `translate_text` to turn rough notes into a technical spec, Jira tickets, an RFC, an API design or a data model for the audience you choose (Junior Dev, Senior Dev, Tech Lead, SRE or Data Engineer). It also translates README files with `translate_markdown`, refines earlier output and lists your history. Requires a DevSpeak API key; a free account includes one key with 50 API requests a month.
Tinylawn is an AI receptionist and answering service for landscaping, lawn care, pest control, and other outdoor service businesses. Connect Tinylawn to review recent calls and saved summaries, understand what callers needed, identify follow-up opportunities, and use call context in conversations or workflows with other enabled tools. Tinylawn provides details and links from the organization you authorize; messages, scheduling, and other actions are handled by the separate tools.
Publishing our production Model Context Protocol (MCP) server for PDFWix (https://www.pdfwix.com) so Claude and AI agent users can securely inspect, merge, compress, split, watermark, and extract text from PDFs.
aX is an agent-native collaboration network. A single Streamable HTTP MCP endpoint gives agents persistent identity, real-time messaging with @mentions and threads, tasks and handoffs, shared workspace context, semantic search, agent discovery, and rendered MCP App / widget artifacts that humans and agents can open and play back.
Visual AI prompt builder that decomposes any raw prompt into 12 semantic blocks (role, context, objective, constraints, examples, etc.) and recompiles them into Claude-optimized XML. Exposes decompose_prompt and compile_prompt tools.
A Model Context Protocol server exposing real-time and historical Colombo Stock Exchange (CSE) data to AI agents and LLM applications. Provides quotes and OHLCV price history, full financial statements (income, balance sheet, cash flow), pre-computed technicals (moving averages, RS ratings, volume signals), macroeconomic indicators, corporate actions, and rule-based screening across CSE stocks and sector indices, everything needed to build CSE-aware trading assistants, research tools, and market-analysis agents. This is the official MCP server of www.ceyloncharts.com
Nephia is a brand monitoring service, and this is its remote MCP server. Claude, Cursor, ChatGPT or any MCP client can read the mentions your brand gets on 14 sources: X, Reddit (posts and comments), YouTube, TikTok, Bluesky, Hacker News, Mastodon, Lemmy, GitHub, Product Hunt, Stack Overflow, any RSS feed, Vinted, and AI answers from ChatGPT, Gemini and Perplexity. Every mention arrives already read, with its sentiment and intent, so an agent can answer plain questions: which complaints came in since Friday, what Reddit said about us this week. The source is an argument, not a tool, so one call reads every source you watch. Sign-in is OAuth in the browser: no API key to copy. The consent screen has three permissions: read your mentions and Queries, change what is running (pause, resume, retire), and spend credits (semantic search and AI passes), which arrives unticked. Every tool description states its cost, so a model can budget before it spends. The server is on every plan, Free included, and reading your own mentions through it costs nothing.
Connect any AI agent to the NachoNacho marketplace with the Model Context Protocol MCP Let your AI search thousands of B2B SaaS AI products, compare deals, and sign up — all from chat
Join.cloud is Slack for AI agents. Create rooms, invite agents, and let them collaborate in real-time. Agents communicate via broadcast messages or DMs, and each room is a standard git repository for code collaboration (clone/push/pull).
Personal context for every AI: search, read, and write back to your private Markdown library.
Persistent semantic memory-as-a-service for legal AI agents. Store and recall case notes, client context, and matter history via MCP. Namespace-isolated, audit-logged, and GDPR-compliant.
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
Free, public, read-only REST + Model Context Protocol server exposing real-time and historical DeFi liquidation telemetry for Aave, Morpho, Spark and Compound on Ethereum mainnet, plus block-builder market share data from the operator's own slot-by-slot shadow recorder.
Zero-value tracer token system that tracks AI agent activity across the internet. Agents earn tokens by submitting threat intelligence traces, with free trust verification (verify_trust) and paid threat intelligence feeds. 8 tools: submit_trace, check_token_balance, mutate_token, get_trace_schema, verify_trust (free) + threat_intelligence_feed, bulk_verify_trust, query_trace_analytics (paid).
Hosted long-term memory for AI agents via MCP. Recalld updates facts as information changes and retrieves relevant context. Connect with a Recalld US account.
Give AI assistants the context behind client website feedback. Read comments, screenshots, replies, element details, and developer briefs; organize priorities, update statuses, and export feedback from authorized projects. Coding agents with repository access can investigate issues and prepare fixes for review. Connect through Streamable HTTP and browser OAuth using a Simple Commenter account.
Hosted MCP that shrinks coding-agent context before the model call; architecture checks without an LLM. Zero data retention.
Model Context Protocol (MCP) server for FinGo: construction budget lookup, official Caixa/IBGE SINAPI database for all 27 Brazilian states, and construction financial
AI-native stablecoin settlement rail replacing SWIFT for institutional cross-border payments. 14 tools covering settlement quotes, execution, ESG scoring, oracle status, fee verification, competitor comparison, rail health, investment context, and MPP-gated macro intelligence. Settles via Base mainnet USDC at ~1.385% all-in.
Shared private memory layer for AI agents. Write context once, carry it across Claude, ChatGPT, Grok, Cursor, Replit, Bolt, Lovable, Devin, v0 and more. Supports reusable SKILL.md bundles for agent skills discovery. OAuth 2.1 + API key auth.
AI-assisted quantitative research and strategy validation through market context, experiments, backtesting, and walk-forward analysis.
Use your Fulcra secure context lake to collaborate with other agents, read and write data, and more
Hubris is an OpenAI-compatible LLM gateway for the Russian market, billed in rubles. This MCP server gives agents access to the model catalog (400+ models with ruble pricing), account balance, and chat completions with full parity to POST /v1/chat/completions. Tools: models_list, models_search (filter by capability/price/context length), models_get_pricing, balance_get, chat_complete. Resources: hubris://catalog/models, hubris://docs/quickstart. Prompt: compare-models. Docs: https://hubris.pw/
shared AI-context layer for teams — persistent memory your agents search and update over MCP
